workflow-execute
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ChineseAuto Mode
自动模式
When or : Auto-select first session, auto-complete session after all tasks, skip all confirmations.
--yes-y当使用或参数时:自动选择第一个会话,所有任务完成后自动结束会话,跳过所有确认步骤。
--yes-yWorkflow Execute
工作流执行
Usage
使用方法
bash
$workflow-execute
$workflow-execute --yes
$workflow-execute --resume-session=WFS-auth
$workflow-execute -y --with-commit
$workflow-execute -y -c 4 --with-commit
$workflow-execute -y --with-commit --resume-session=WFS-authFlags:
- : Skip all confirmations (auto mode)
-y, --yes - : Max concurrent agents per wave (default: 4)
-c, --concurrency N - : Resume specific session (skip Phase 1-2)
--resume-session=ID - : Auto-commit after each task completion
--with-commit
bash
$workflow-execute
$workflow-execute --yes
$workflow-execute --resume-session=WFS-auth
$workflow-execute -y --with-commit
$workflow-execute -y -c 4 --with-commit
$workflow-execute -y --with-commit --resume-session=WFS-auth参数:
- : 跳过所有确认步骤(自动模式)
-y, --yes - : 每波浪的最大并发Agent数(默认值:4)
-c, --concurrency N - : 恢复指定会话(跳过阶段1-2)
--resume-session=ID - : 每个任务完成后自动提交
--with-commit
Overview
概述
Autonomous execution pipeline using wave engine. Converts planning artifacts (IMPL-*.json + plan.json) into CSV for wave-based parallel execution, with full task JSON available via column.
spawn_agents_on_csvtask_json_path┌──────────────────────────────────────────────────────────────────┐
│ WORKFLOW EXECUTE PIPELINE │
├──────────────────────────────────────────────────────────────────┤
│ │
│ Phase 1: Session Discovery │
│ ├─ Find active sessions │
│ ├─ Auto-select (1 session) or prompt (multiple) │
│ └─ Load session metadata │
│ │
│ Phase 2: Planning Document Validation │
│ ├─ Verify IMPL_PLAN.md exists │
│ ├─ Verify TODO_LIST.md exists │
│ └─ Verify .task/ contains IMPL-*.json │
│ │
│ Phase 3: JSON → CSV Conversion │
│ ├─ Read all IMPL-*.json + plan.json │
│ ├─ Skip already-completed tasks (resume support) │
│ ├─ Compute waves via Kahn's BFS (deps + plan hints) │
│ ├─ Generate tasks.csv (21 cols) + context.csv │
│ └─ Initialize discoveries.ndjson │
│ │
│ Phase 4: Wave Execute (spawn_agents_on_csv) │
│ ├─ Per wave: build prev_context → wave-{N}.csv │
│ ├─ spawn_agents_on_csv with execute instruction │
│ ├─ Merge results → tasks.csv + task JSON status │
│ ├─ Auto-commit per task (if --with-commit) │
│ └─ Cleanup temp wave CSVs │
│ │
│ Phase 5: Results Sync │
│ ├─ Export results.csv │
│ ├─ Reconcile TODO_LIST.md with tasks.csv status │
│ └─ User choice: Review | Complete Session │
│ │
│ Phase 6: Post-Implementation Review (Optional) │
│ ├─ Select review type (quality/security/architecture) │
│ ├─ CLI-assisted analysis │
│ └─ Generate REVIEW-{type}.md │
│ │
│ Resume Mode (--resume-session): │
│ └─ Skip Phase 1-2 → enter Phase 3 (skip completed tasks) │
│ │
└──────────────────────────────────────────────────────────────────┘基于波浪引擎的自主执行流水线。将规划工件(IMPL-*.json + plan.json)转换为CSV,用于基于波浪的并行执行,完整的任务JSON可通过列获取。
spawn_agents_on_csvtask_json_path┌──────────────────────────────────────────────────────────────────┐
│ 工作流执行流水线 │
├──────────────────────────────────────────────────────────────────┤
│ │
│ 阶段1:会话发现 │
│ ├─ 查找活跃会话 │
│ ├─ 自动选择(单个会话)或提示选择(多个会话) │
│ └─ 加载会话元数据 │
│ │
│ 阶段2:规划文档验证 │
│ ├─ 验证IMPL_PLAN.md是否存在 │
│ ├─ 验证TODO_LIST.md是否存在 │
│ └─ 验证.task/目录下是否包含IMPL-*.json文件 │
│ │
│ 阶段3:JSON → CSV转换 │
│ ├─ 读取所有IMPL-*.json + plan.json文件 │
│ ├─ 跳过已完成的任务(支持恢复会话) │
│ ├─ 通过Kahn's BFS算法计算波浪(基于依赖关系和计划提示) │
│ ├─ 生成tasks.csv(21列)和context.csv文件 │
│ └─ 初始化discoveries.ndjson文件 │
│ │
│ 阶段4:波浪执行(spawn_agents_on_csv) │
│ ├─ 每波浪:构建prev_context → 生成wave-{N}.csv文件 │
│ ├─ 使用执行指令调用spawn_agents_on_csv │
│ ├─ 合并结果 → 更新tasks.csv和任务JSON状态 │
│ ├─ 每个任务完成后自动提交(如果使用--with-commit参数) │
│ └─ 清理临时波浪CSV文件 │
│ │
│ 阶段5:结果同步 │
│ ├─ 导出results.csv文件 │
│ ├─ 根据tasks.csv的状态同步更新TODO_LIST.md │
│ └─ 用户选择:评审 | 结束会话 │
│ │
│ 阶段6:实施后评审(可选) │
│ ├─ 选择评审类型(质量/安全/架构) │
│ ├─ CLI辅助分析 │
│ └─ 生成REVIEW-{type}.md文件 │
│ │
│ 恢复模式(--resume-session): │
│ └─ 跳过阶段1-2 → 进入阶段3(跳过已完成的任务) │
│ │
└──────────────────────────────────────────────────────────────────┘CSV Schemas
CSV 模式
tasks.csv (21 columns)
tasks.csv(21列)
csv
id,title,description,agent,scope,deps,execution_group,context_from,wave,task_json_path,hints,execution_directives,acceptance_criteria,prev_context,status,findings,files_modified,tests_passed,acceptance_met,summary_path,error| Column | Phase | Source | Description |
|---|---|---|---|
| Input | task.id | IMPL-001 etc |
| Input | task.title | Short title |
| Input | task.description | Full description |
| Input | meta.agent or inferred | @code-developer etc |
| Input | task.scope / focus_paths | File scope glob |
| Input | depends_on.join(';') | Dependency IDs (semicolon-separated) |
| Input | meta.execution_group | Parallel group identifier |
| Computed | deps + completed predecessors | Context source IDs |
| Computed | Kahn's BFS | Wave number (1-based) |
| Input | relative path | |
| Input | artifacts + pre_analysis refs | |
| Input | convergence.verification | Verification commands |
| Input | convergence.criteria.join | Acceptance conditions |
| Computed(per-wave) | context_from findings lookup | Predecessor task findings |
| Output | agent result | pending→completed/failed/skipped |
| Output | agent result | Key findings (max 500 chars) |
| Output | agent result | Modified files (semicolon-separated) |
| Output | agent result | true/false |
| Output | agent result | Acceptance status |
| Output | generated | .summaries/IMPL-X-summary.md |
| Output | agent result | Error message |
Key design: lets agents read the full task JSON (with pre_analysis, flow_control, convergence etc). CSV is "brief + execution state".
task_json_pathcsv
id,title,description,agent,scope,deps,execution_group,context_from,wave,task_json_path,hints,execution_directives,acceptance_criteria,prev_context,status,findings,files_modified,tests_passed,acceptance_met,summary_path,error| 列名 | 阶段 | 来源 | 描述 |
|---|---|---|---|
| 输入 | task.id | IMPL-001等 |
| 输入 | task.title | 简短标题 |
| 输入 | task.description | 完整描述 |
| 输入 | meta.agent或推断值 | @code-developer等 |
| 输入 | task.scope / focus_paths | 文件范围通配符 |
| 输入 | depends_on.join(';') | 依赖ID(分号分隔) |
| 输入 | meta.execution_group | 并行组标识符 |
| 计算值 | 依赖项 + 已完成的前置任务 | 上下文来源ID |
| 计算值 | Kahn's BFS | 波浪编号(从1开始) |
| 输入 | 相对路径 | |
| 输入 | artifacts + pre_analysis引用 | `tips |
| 输入 | convergence.verification | 验证命令 |
| 输入 | convergence.criteria.join | 验收条件 |
| 按波浪计算 | 从context_from查找结果 | 前置任务的发现结果 |
| 输出 | Agent结果 | pending→completed/failed/skipped |
| 输出 | Agent结果 | 关键发现(最多500字符) |
| 输出 | Agent结果 | 修改的文件(分号分隔) |
| 输出 | Agent结果 | true/false |
| 输出 | Agent结果 | 验收状态 |
| 输出 | 生成的路径 | .summaries/IMPL-X-summary.md |
| 输出 | Agent结果 | 错误信息 |
核心设计:允许Agent读取完整的任务JSON(包含pre_analysis、flow_control、convergence等信息)。CSV仅包含“精简信息 + 执行状态”。
task_json_pathcontext.csv (4 columns)
context.csv(4列)
csv
key,type,value,source
"tech_stack","array","TypeScript;React 18;Zustand","plan.json"
"conventions","array","Use useIntl;Barrel exports","plan.json"
"context_package_path","path",".process/context-package.json","session"
"discoveries_path","path","discoveries.ndjson","session"Injected into instruction template as static context — avoids each agent rediscovering project basics.
csv
key,type,value,source
"tech_stack","array","TypeScript;React 18;Zustand","plan.json"
"conventions","array","Use useIntl;Barrel exports","plan.json"
"context_package_path","path",".process/context-package.json","session"
"discoveries_path","path","discoveries.ndjson","session"作为静态上下文注入到指令模板中 —— 避免每个Agent重复发现项目基础信息。
Session Structure
会话结构
.workflow/active/WFS-{session}/
├── workflow-session.json # Session state
├── plan.json # Structured plan (machine-readable)
├── IMPL_PLAN.md # Implementation plan (human-readable)
├── TODO_LIST.md # Progress tracking (Phase 5 sync)
├── tasks.csv # Phase 3 generated, Phase 4 updated
├── context.csv # Phase 3 generated
├── results.csv # Phase 5 exported
├── discoveries.ndjson # Phase 3 initialized, Phase 4 agents append
├── .task/ # Task definitions (unchanged)
│ ├── IMPL-1.json
│ └── IMPL-N.json
├── .summaries/ # Agent-generated summaries
│ ├── IMPL-1-summary.md
│ └── IMPL-N-summary.md
├── .process/context-package.json# Unchanged
└── wave-{N}.csv # Phase 4 temporary (cleaned after each wave).workflow/active/WFS-{session}/
├── workflow-session.json # 会话状态
├── plan.json # 结构化计划(机器可读)
├── IMPL_PLAN.md # 实施计划(人类可读)
├── TODO_LIST.md # 进度跟踪(阶段5同步)
├── tasks.csv # 阶段3生成,阶段4更新
├── context.csv # 阶段3生成
├── results.csv # 阶段5导出
├── discoveries.ndjson # 阶段3初始化,阶段4由Agent追加内容
├── .task/ # 任务定义(保持不变)
│ ├── IMPL-1.json
│ └── IMPL-N.json
├── .summaries/ # Agent生成的摘要
│ ├── IMPL-1-summary.md
│ └── IMPL-N-summary.md
├── .process/context-package.json# 保持不变
└── wave-{N}.csv # 阶段4临时文件(每波浪后清理)Implementation
实现
Session Initialization
会话初始化
javascript
const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()
// Parse flags
const AUTO_YES = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
const withCommit = $ARGUMENTS.includes('--with-commit')
const resumeMatch = $ARGUMENTS.match(/--resume-session[=\s]+(\S+)/)
const resumeSessionId = resumeMatch ? resumeMatch[1] : null
const isResumeMode = !!resumeSessionId
const concurrencyMatch = $ARGUMENTS.match(/(?:--concurrency|-c)\s+(\d+)/)
const maxConcurrency = concurrencyMatch ? parseInt(concurrencyMatch[1]) : 4javascript
const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()
// Parse flags
const AUTO_YES = $ARGUMENTS.includes('--yes') || $ARGUMENTS.includes('-y')
const withCommit = $ARGUMENTS.includes('--with-commit')
const resumeMatch = $ARGUMENTS.match(/--resume-session[=\s]+(\S+)/)
const resumeSessionId = resumeMatch ? resumeMatch[1] : null
const isResumeMode = !!resumeSessionId
const concurrencyMatch = $ARGUMENTS.match(/(?:--concurrency|-c)\s+(\d+)/)
const maxConcurrency = concurrencyMatch ? parseInt(concurrencyMatch[1]) : 4Phase 1: Session Discovery
阶段1:会话发现
Applies to: Normal mode only (skipped if ).
--resume-sessionjavascript
let sessionId, sessionFolder
if (isResumeMode) {
sessionId = resumeSessionId
sessionFolder = `.workflow/active/${sessionId}`
// Skip to Phase 3
} else {
const sessions = Bash(`ls -d .workflow/active/WFS-* 2>/dev/null`).trim().split('\n').filter(Boolean)
if (sessions.length === 0) {
console.log('ERROR: No active workflow sessions found.')
console.log('Run $workflow-plan "task description" to create a session.')
return
}
if (sessions.length === 1) {
sessionFolder = sessions[0]
sessionId = sessionFolder.split('/').pop()
console.log(`Auto-selected session: ${sessionId}`)
} else {
if (AUTO_YES) {
sessionFolder = sessions[0]
sessionId = sessionFolder.split('/').pop()
console.log(`[--yes] Auto-selected: ${sessionId}`)
} else {
const sessionInfos = sessions.slice(0, 4).map(s => {
const id = s.split('/').pop()
const total = parseInt(Bash(`grep -c '^- \\[' "${s}/TODO_LIST.md" 2>/dev/null || echo 0`).trim()) || 0
const done = parseInt(Bash(`grep -c '^- \\[x\\]' "${s}/TODO_LIST.md" 2>/dev/null || echo 0`).trim()) || 0
return { id, path: s, progress: `${done}/${total} tasks` }
})
const answer = AskUserQuestion({
questions: [{
question: "Select session to execute:",
header: "Session",
multiSelect: false,
options: sessionInfos.map(s => ({
label: s.id,
description: s.progress
}))
}]
})
sessionId = answer.Session
sessionFolder = `.workflow/active/${sessionId}`
}
}
}适用场景:仅正常模式(如果使用则跳过)。
--resume-sessionjavascript
let sessionId, sessionFolder
if (isResumeMode) {
sessionId = resumeSessionId
sessionFolder = `.workflow/active/${sessionId}`
// Skip to Phase 3
} else {
const sessions = Bash(`ls -d .workflow/active/WFS-* 2>/dev/null`).trim().split('\n').filter(Boolean)
if (sessions.length === 0) {
console.log('ERROR: No active workflow sessions found.')
console.log('Run $workflow-plan "task description" to create a session.')
return
}
if (sessions.length === 1) {
sessionFolder = sessions[0]
sessionId = sessionFolder.split('/').pop()
console.log(`Auto-selected session: ${sessionId}`)
} else {
if (AUTO_YES) {
sessionFolder = sessions[0]
sessionId = sessionFolder.split('/').pop()
console.log(`[--yes] Auto-selected: ${sessionId}`)
} else {
const sessionInfos = sessions.slice(0, 4).map(s => {
const id = s.split('/').pop()
const total = parseInt(Bash(`grep -c '^- \\[x\\]' "${s}/TODO_LIST.md" 2>/dev/null || echo 0`).trim()) || 0
const done = parseInt(Bash(`grep -c '^- \\[x\\]' "${s}/TODO_LIST.md" 2>/dev/null || echo 0`).trim()) || 0
return { id, path: s, progress: `${done}/${total} tasks` }
})
const answer = AskUserQuestion({
questions: [{
question: "Select session to execute:",
header: "Session",
multiSelect: false,
options: sessionInfos.map(s => ({
label: s.id,
description: s.progress
}))
}]
})
sessionId = answer.Session
sessionFolder = `.workflow/active/${sessionId}`
}
}
}Phase 2: Planning Document Validation
阶段2:规划文档验证
Applies to: Normal mode only.
javascript
if (!isResumeMode) {
const checks = {
'IMPL_PLAN.md': Bash(`test -f "${sessionFolder}/IMPL_PLAN.md" && echo yes`).trim() === 'yes',
'TODO_LIST.md': Bash(`test -f "${sessionFolder}/TODO_LIST.md" && echo yes`).trim() === 'yes',
'.task/ has files': parseInt(Bash(`ls ${sessionFolder}/.task/IMPL-*.json 2>/dev/null | wc -l`).trim()) > 0
}
const missing = Object.entries(checks).filter(([_, ok]) => !ok).map(([name]) => name)
if (missing.length > 0) {
console.log(`ERROR: Missing planning documents: ${missing.join(', ')}`)
console.log(`Run $workflow-plan --session ${sessionId} to generate plan.`)
return
}
console.log(`Planning documents validated.`)
}适用场景:仅正常模式。
javascript
if (!isResumeMode) {
const checks = {
'IMPL_PLAN.md': Bash(`test -f "${sessionFolder}/IMPL_PLAN.md" && echo yes`).trim() === 'yes',
'TODO_LIST.md': Bash(`test -f "${sessionFolder}/TODO_LIST.md" && echo yes`).trim() === 'yes',
'.task/ has files': parseInt(Bash(`ls ${sessionFolder}/.task/IMPL-*.json 2>/dev/null | wc -l`).trim()) > 0
}
const missing = Object.entries(checks).filter(([_, ok]) => !ok).map(([name]) => name)
if (missing.length > 0) {
console.log(`ERROR: Missing planning documents: ${missing.join(', ')}`)
console.log(`Run $workflow-plan --session ${sessionId} to generate plan.`)
return
}
console.log(`Planning documents validated.`)
}Phase 3: JSON → CSV Conversion
阶段3:JSON → CSV转换
Applies to: Both normal and resume modes (resume entry point).
Objective: Convert IMPL-*.json + plan.json into tasks.csv + context.csv with computed waves.
javascript
console.log(`\n## Phase 3: JSON → CSV Conversion\n`)
// Update session status to active
Bash(`cd "${sessionFolder}" && jq '.status = "active" | .execution_started_at = (.execution_started_at // "'"$(date -Iseconds)"'")' workflow-session.json > tmp.json && mv tmp.json workflow-session.json 2>/dev/null || true`)
Bash(`mkdir -p "${sessionFolder}/.summaries"`)
// 3.1: Read all IMPL-*.json
const taskFiles = Bash(`ls ${sessionFolder}/.task/IMPL-*.json 2>/dev/null`).trim().split('\n').filter(Boolean)
if (taskFiles.length === 0) {
console.log('ERROR: No task JSONs found in .task/')
return
}
const taskJsons = taskFiles.map(f => {
const content = Read(f)
const json = JSON.parse(content)
json._filePath = f
// Fallback: derive id from filename if missing
if (!json.id) {
json.id = f.split('/').pop().replace('.json', '')
}
return json
})
// 3.2: Skip completed tasks (resume support)
const todoContent = Read(`${sessionFolder}/TODO_LIST.md`)
const completedIds = new Set()
const todoLines = todoContent.match(/^- \[x\] (IMPL-\d+(?:\.\d+)?)/gm) || []
todoLines.forEach(line => {
const match = line.match(/IMPL-\d+(?:\.\d+)?/)
if (match) completedIds.add(match[0])
})
// Also check task JSON status field
taskJsons.forEach(tj => {
if (tj.status === 'completed') completedIds.add(tj.id)
})
const pendingJsons = taskJsons.filter(tj => !completedIds.has(tj.id))
console.log(` Total tasks: ${taskJsons.length}`)
console.log(` Already completed: ${completedIds.size}`)
console.log(` Pending: ${pendingJsons.length}`)
if (pendingJsons.length === 0) {
console.log(`\nAll tasks already completed. Proceeding to Phase 5.`)
// → Jump to Phase 5
}
// 3.3: Read plan.json for execution hints
const planJsonPath = `${sessionFolder}/plan.json`
const planJsonExists = Bash(`test -f "${planJsonPath}" && echo yes`).trim() === 'yes'
const planJson = planJsonExists ? JSON.parse(Read(planJsonPath) || '{}') : {}
// 3.4: Extract fields from task JSONs (handles two schema variants)
function resolveAgent(tj) {
if (tj.meta?.agent) return tj.meta.agent
const typeMap = {
'feature': 'code-developer',
'test-gen': 'code-developer',
'test-fix': 'test-fix-agent',
'review': 'universal-executor',
'docs': 'doc-generator'
}
return typeMap[tj.meta?.type] || 'code-developer'
}
function extractDeps(tj) {
return tj.depends_on || tj.context?.depends_on || []
}
function buildHints(tj) {
const tips = []
const files = []
// Gather artifact references
if (tj.artifacts) {
tj.artifacts.forEach(a => { if (a.path) files.push(a.path) })
}
// Gather pre_analysis Read references
if (tj.pre_analysis) {
tj.pre_analysis.forEach(step => {
if (step.tool === 'Read' && step.path) files.push(step.path)
})
}
// Gather tips from meta or context
if (tj.meta?.hints) tips.push(tj.meta.hints)
if (tj.context?.tips) tips.push(tj.context.tips)
const tipsStr = tips.join('; ')
const filesStr = files.join(';')
if (tipsStr && filesStr) return `${tipsStr} || ${filesStr}`
if (tipsStr) return tipsStr
if (filesStr) return `|| ${filesStr}`
return ''
}
function extractDirectives(tj) {
if (tj.convergence?.verification) {
return Array.isArray(tj.convergence.verification)
? tj.convergence.verification.join('; ')
: tj.convergence.verification
}
if (tj.execution_config?.verification_command) return tj.execution_config.verification_command
return ''
}
function extractAcceptance(tj) {
if (tj.convergence?.criteria) {
return Array.isArray(tj.convergence.criteria)
? tj.convergence.criteria.join('; ')
: tj.convergence.criteria
}
if (tj.context?.acceptance) {
return Array.isArray(tj.context.acceptance)
? tj.context.acceptance.join('; ')
: tj.context.acceptance
}
return ''
}
function extractScope(tj) {
if (tj.scope) return tj.scope
if (tj.focus_paths) {
return Array.isArray(tj.focus_paths) ? tj.focus_paths.join(';') : tj.focus_paths
}
return ''
}
// Build task rows (all tasks — completed ones carry status forward)
const taskRows = taskJsons.map(tj => ({
id: tj.id,
title: tj.title || '',
description: tj.description || '',
agent: resolveAgent(tj),
scope: extractScope(tj),
deps: extractDeps(tj).join(';'),
execution_group: tj.meta?.execution_group || '',
context_from: '', // computed after wave assignment
task_json_path: `.task/${tj.id}.json`,
hints: buildHints(tj),
execution_directives: extractDirectives(tj),
acceptance_criteria: extractAcceptance(tj),
prev_context: '', // computed per-wave in Phase 4
status: completedIds.has(tj.id) ? 'completed' : 'pending',
findings: '',
files_modified: '',
tests_passed: '',
acceptance_met: '',
summary_path: `.summaries/${tj.id}-summary.md`,
error: ''
}))
// 3.5: Compute waves via Kahn's BFS with plan.json hints
function computeWaves(rows, planJson) {
const taskMap = new Map(rows.map(r => [r.id, r]))
const inDegree = new Map(rows.map(r => [r.id, 0]))
const adjList = new Map(rows.map(r => [r.id, []]))
for (const row of rows) {
const deps = row.deps.split(';').filter(Boolean)
for (const dep of deps) {
if (taskMap.has(dep)) {
adjList.get(dep).push(row.id)
inDegree.set(row.id, inDegree.get(row.id) + 1)
}
}
}
// BFS
const queue = []
const waveMap = new Map()
for (const [id, deg] of inDegree) {
if (deg === 0) {
queue.push([id, 1])
waveMap.set(id, 1)
}
}
let maxWave = 1
let idx = 0
while (idx < queue.length) {
const [current, depth] = queue[idx++]
for (const next of adjList.get(current)) {
const newDeg = inDegree.get(next) - 1
inDegree.set(next, newDeg)
const nextDepth = Math.max(waveMap.get(next) || 0, depth + 1)
waveMap.set(next, nextDepth)
if (newDeg === 0) {
queue.push([next, nextDepth])
maxWave = Math.max(maxWave, nextDepth)
}
}
}
// Check for unassigned (circular deps)
for (const row of rows) {
if (!waveMap.has(row.id)) {
console.log(`WARNING: Circular dependency involving ${row.id}, assigning to wave ${maxWave + 1}`)
waveMap.set(row.id, maxWave + 1)
maxWave = maxWave + 1
}
}
// Apply plan.json execution_graph hints if available
if (planJson.execution_graph?.phases) {
planJson.execution_graph.phases.forEach((phase, idx) => {
const phaseWave = idx + 1
const taskIds = phase.tasks || phase.task_ids || []
taskIds.forEach(id => {
if (waveMap.has(id)) {
// Only shift to later wave (never earlier — respect deps)
if (phaseWave > waveMap.get(id)) {
waveMap.set(id, phaseWave)
}
}
})
})
maxWave = Math.max(maxWave, ...waveMap.values())
}
return { waveMap, maxWave }
}
const { waveMap, maxWave } = computeWaves(taskRows, planJson)
// Assign wave + context_from
taskRows.forEach(row => {
row.wave = waveMap.get(row.id) || 1
// context_from = deps + already-completed IDs for resume context
const depIds = row.deps.split(';').filter(Boolean)
const contextIds = [...new Set([...depIds, ...[...completedIds].filter(id => id !== row.id)])]
row.context_from = contextIds.join(';')
})
// 3.6: Write tasks.csv
function csvEscape(val) {
return `"${String(val).replace(/"/g, '""')}"`
}
const tasksCsvHeader = 'id,title,description,agent,scope,deps,execution_group,context_from,wave,task_json_path,hints,execution_directives,acceptance_criteria,prev_context,status,findings,files_modified,tests_passed,acceptance_met,summary_path,error'
const tasksCsvRows = taskRows.map(r =>
[r.id, r.title, r.description, r.agent, r.scope, r.deps, r.execution_group,
r.context_from, r.wave, r.task_json_path, r.hints, r.execution_directives,
r.acceptance_criteria, r.prev_context, r.status, r.findings, r.files_modified,
r.tests_passed, r.acceptance_met, r.summary_path, r.error]
.map(csvEscape).join(',')
)
Write(`${sessionFolder}/tasks.csv`, [tasksCsvHeader, ...tasksCsvRows].join('\n'))
// 3.7: Write context.csv
const contextRows = ['key,type,value,source']
if (planJson.tech_stack) {
const stack = Array.isArray(planJson.tech_stack) ? planJson.tech_stack.join(';') : planJson.tech_stack
contextRows.push(`"tech_stack","array","${stack}","plan.json"`)
}
if (planJson.conventions) {
const conv = Array.isArray(planJson.conventions) ? planJson.conventions.join(';') : planJson.conventions
contextRows.push(`"conventions","array","${conv}","plan.json"`)
}
const ctxPkgExists = Bash(`test -f "${sessionFolder}/.process/context-package.json" && echo yes`).trim() === 'yes'
if (ctxPkgExists) {
contextRows.push(`"context_package_path","path",".process/context-package.json","session"`)
}
contextRows.push(`"discoveries_path","path","discoveries.ndjson","session"`)
Write(`${sessionFolder}/context.csv`, contextRows.join('\n'))
// 3.8: Initialize discoveries.ndjson
Bash(`touch "${sessionFolder}/discoveries.ndjson"`)
// 3.9: User validation (skip if AUTO_YES)
if (!AUTO_YES) {
const pendingRows = taskRows.filter(r => r.status === 'pending')
console.log(`\n## Wave Execution Plan\n`)
console.log(` Tasks: ${pendingRows.length} pending across ${maxWave} waves\n`)
for (let w = 1; w <= maxWave; w++) {
const waveTasks = pendingRows.filter(r => r.wave === w)
if (waveTasks.length === 0) continue
console.log(` Wave ${w}: ${waveTasks.map(t => `${t.id}(${t.agent})`).join(', ')}`)
}
const answer = AskUserQuestion({
questions: [{
question: `Proceed with ${pendingRows.length} tasks across ${maxWave} waves?`,
header: "Confirm",
multiSelect: false,
options: [
{ label: "Execute", description: "Proceed with wave execution" },
{ label: "Modify", description: `Edit ${sessionFolder}/tasks.csv then --resume-session` },
{ label: "Cancel", description: "Abort" }
]
}]
})
if (answer.Confirm === "Modify") {
console.log(`Edit: ${sessionFolder}/tasks.csv\nResume: $workflow-execute --resume-session=${sessionId}`)
return
} else if (answer.Confirm === "Cancel") {
return
}
}
console.log(`\n tasks.csv: ${taskRows.length} rows (${pendingJsons.length} pending)`)
console.log(` context.csv: ${contextRows.length - 1} entries`)
console.log(` Wave plan: ${maxWave} waves`)适用场景:正常模式和恢复模式(恢复模式的入口点)。
目标:将IMPL-*.json + plan.json转换为tasks.csv + context.csv,并计算波浪。
javascript
console.log(`\n## Phase 3: JSON → CSV Conversion\n`)
// Update session status to active
Bash(`cd "${sessionFolder}" && jq '.status = "active" | .execution_started_at = (.execution_started_at // "'"$(date -Iseconds)"'")' workflow-session.json > tmp.json && mv tmp.json workflow-session.json 2>/dev/null || true`)
Bash(`mkdir -p "${sessionFolder}/.summaries"`)
// 3.1: Read all IMPL-*.json
const taskFiles = Bash(`ls ${sessionFolder}/.task/IMPL-*.json 2>/dev/null`).trim().split('\n').filter(Boolean)
if (taskFiles.length === 0) {
console.log('ERROR: No task JSONs found in .task/')
return
}
const taskJsons = taskFiles.map(f => {
const content = Read(f)
const json = JSON.parse(content)
json._filePath = f
// Fallback: derive id from filename if missing
if (!json.id) {
json.id = f.split('/').pop().replace('.json', '')
}
return json
})
// 3.2: Skip completed tasks (resume support)
const todoContent = Read(`${sessionFolder}/TODO_LIST.md`)
const completedIds = new Set()
const todoLines = todoContent.match(/^- \[x\] (IMPL-\d+(?:\.\d+)?)/gm) || []
todoLines.forEach(line => {
const match = line.match(/IMPL-\d+(?:\.\d+)?/)
if (match) completedIds.add(match[0])
})
// Also check task JSON status field
taskJsons.forEach(tj => {
if (tj.status === 'completed') completedIds.add(tj.id)
})
const pendingJsons = taskJsons.filter(tj => !completedIds.has(tj.id))
console.log(` Total tasks: ${taskJsons.length}`)
console.log(` Already completed: ${completedIds.size}`)
console.log(` Pending: ${pendingJsons.length}`)
if (pendingJsons.length === 0) {
console.log(`\nAll tasks already completed. Proceeding to Phase 5.`)
// → Jump to Phase 5
}
// 3.3: Read plan.json for execution hints
const planJsonPath = `${sessionFolder}/plan.json`
const planJsonExists = Bash(`test -f "${planJsonPath}" && echo yes`).trim() === 'yes'
const planJson = planJsonExists ? JSON.parse(Read(planJsonPath) || '{}') : {}
// 3.4: Extract fields from task JSONs (handles two schema variants)
function resolveAgent(tj) {
if (tj.meta?.agent) return tj.meta.agent
const typeMap = {
'feature': 'code-developer',
'test-gen': 'code-developer',
'test-fix': 'test-fix-agent',
'review': 'universal-executor',
'docs': 'doc-generator'
}
return typeMap[tj.meta?.type] || 'code-developer'
}
function extractDeps(tj) {
return tj.depends_on || tj.context?.depends_on || []
}
function buildHints(tj) {
const tips = []
const files = []
// Gather artifact references
if (tj.artifacts) {
tj.artifacts.forEach(a => { if (a.path) files.push(a.path) })
}
// Gather pre_analysis Read references
if (tj.pre_analysis) {
tj.pre_analysis.forEach(step => {
if (step.tool === 'Read' && step.path) files.push(step.path)
})
}
// Gather tips from meta or context
if (tj.meta?.hints) tips.push(tj.meta.hints)
if (tj.context?.tips) tips.push(tj.context.tips)
const tipsStr = tips.join('; ')
const filesStr = files.join(';')
if (tipsStr && filesStr) return `${tipsStr} || ${filesStr}`
if (tipsStr) return tipsStr
if (filesStr) return `|| ${filesStr}`
return ''
}
function extractDirectives(tj) {
if (tj.convergence?.verification) {
return Array.isArray(tj.convergence.verification)
? tj.convergence.verification.join('; ')
: tj.convergence.verification
}
if (tj.execution_config?.verification_command) return tj.execution_config.verification_command
return ''
}
function extractAcceptance(tj) {
if (tj.convergence?.criteria) {
return Array.isArray(tj.convergence.criteria)
? tj.convergence.criteria.join('; ')
: tj.convergence.criteria
}
if (tj.context?.acceptance) {
return Array.isArray(tj.context.acceptance)
? tj.context.acceptance.join('; ')
: tj.context.acceptance
: ''
}
return ''
}
function extractScope(tj) {
if (tj.scope) return tj.scope
if (tj.focus_paths) {
return Array.isArray(tj.focus_paths) ? tj.focus_paths.join(';') : tj.focus_paths
}
return ''
}
// Build task rows (all tasks — completed ones carry status forward)
const taskRows = taskJsons.map(tj => ({
id: tj.id,
title: tj.title || '',
description: tj.description || '',
agent: resolveAgent(tj),
scope: extractScope(tj),
deps: extractDeps(tj).join(';'),
execution_group: tj.meta?.execution_group || '',
context_from: '', // computed after wave assignment
task_json_path: `.task/${tj.id}.json`,
hints: buildHints(tj),
execution_directives: extractDirectives(tj),
acceptance_criteria: extractAcceptance(tj),
prev_context: '', // computed per-wave in Phase 4
status: completedIds.has(tj.id) ? 'completed' : 'pending',
findings: '',
files_modified: '',
tests_passed: '',
acceptance_met: '',
summary_path: `.summaries/${tj.id}-summary.md`,
error: ''
}))
// 3.5: Compute waves via Kahn's BFS with plan.json hints
function computeWaves(rows, planJson) {
const taskMap = new Map(rows.map(r => [r.id, r]))
const inDegree = new Map(rows.map(r => [r.id, 0]))
const adjList = new Map(rows.map(r => [r.id, []]))
for (const row of rows) {
const deps = row.deps.split(';').filter(Boolean)
for (const dep of deps) {
if (taskMap.has(dep)) {
adjList.get(dep).push(row.id)
inDegree.set(row.id, inDegree.get(row.id) + 1)
}
}
}
// BFS
const queue = []
const waveMap = new Map()
for (const [id, deg] of inDegree) {
if (deg === 0) {
queue.push([id, 1])
waveMap.set(id, 1)
}
}
let maxWave = 1
let idx = 0
while (idx < queue.length) {
const [current, depth] = queue[idx++]
for (const next of adjList.get(current)) {
const newDeg = inDegree.get(next) - 1
inDegree.set(next, newDeg)
const nextDepth = Math.max(waveMap.get(next) || 0, depth + 1)
waveMap.set(next, nextDepth)
if (newDeg === 0) {
queue.push([next, nextDepth])
maxWave = Math.max(maxWave, nextDepth)
}
}
}
// Check for unassigned (circular deps)
for (const row of rows) {
if (!waveMap.has(row.id)) {
console.log(`WARNING: Circular dependency involving ${row.id}, assigning to wave ${maxWave + 1}`)
waveMap.set(row.id, maxWave + 1)
maxWave = maxWave + 1
}
}
// Apply plan.json execution_graph hints if available
if (planJson.execution_graph?.phases) {
planJson.execution_graph.phases.forEach((phase, idx) => {
const phaseWave = idx + 1
const taskIds = phase.tasks || phase.task_ids || []
taskIds.forEach(id => {
if (waveMap.has(id)) {
// Only shift to later wave (never earlier — respect deps)
if (phaseWave > waveMap.get(id)) {
waveMap.set(id, phaseWave)
}
}
})
})
maxWave = Math.max(maxWave, ...waveMap.values())
}
return { waveMap, maxWave }
}
const { waveMap, maxWave } = computeWaves(taskRows, planJson)
// Assign wave + context_from
taskRows.forEach(row => {
row.wave = waveMap.get(row.id) || 1
// context_from = deps + already-completed IDs for resume context
const depIds = row.deps.split(';').filter(Boolean)
const contextIds = [...new Set([...depIds, ...[...completedIds].filter(id => id !== row.id)])]
row.context_from = contextIds.join(';')
})
// 3.6: Write tasks.csv
function csvEscape(val) {
return `"${String(val).replace(/"/g, '""')}"`
}
const tasksCsvHeader = 'id,title,description,agent,scope,deps,execution_group,context_from,wave,task_json_path,hints,execution_directives,acceptance_criteria,prev_context,status,findings,files_modified,tests_passed,acceptance_met,summary_path,error'
const tasksCsvRows = taskRows.map(r =>
[r.id, r.title, r.description, r.agent, r.scope, r.deps, r.execution_group,
r.context_from, r.wave, r.task_json_path, r.hints, r.execution_directives,
r.acceptance_criteria, r.prev_context, r.status, r.findings, r.files_modified,
r.tests_passed, r.acceptance_met, r.summary_path, r.error]
.map(csvEscape).join(',')
)
Write(`${sessionFolder}/tasks.csv`, [tasksCsvHeader, ...tasksCsvRows].join('\n'))
// 3.7: Write context.csv
const contextRows = ['key,type,value,source']
if (planJson.tech_stack) {
const stack = Array.isArray(planJson.tech_stack) ? planJson.tech_stack.join(';') : planJson.tech_stack
contextRows.push(`"tech_stack","array","${stack}","plan.json"`)
}
if (planJson.conventions) {
const conv = Array.isArray(planJson.conventions) ? planJson.conventions.join(';') : planJson.conventions
contextRows.push(`"conventions","array","${conv}","plan.json"`)
}
const ctxPkgExists = Bash(`test -f "${sessionFolder}/.process/context-package.json" && echo yes`).trim() === 'yes'
if (ctxPkgExists) {
contextRows.push(`"context_package_path","path",".process/context-package.json","session"`)
}
contextRows.push(`"discoveries_path","path","discoveries.ndjson","session"`)
Write(`${sessionFolder}/context.csv`, contextRows.join('\n'))
// 3.8: Initialize discoveries.ndjson
Bash(`touch "${sessionFolder}/discoveries.ndjson"`)
// 3.9: User validation (skip if AUTO_YES)
if (!AUTO_YES) {
const pendingRows = taskRows.filter(r => r.status === 'pending')
console.log(`\n## Wave Execution Plan\n`)
console.log(` Tasks: ${pendingRows.length} pending across ${maxWave} waves\n`)
for (let w = 1; w <= maxWave; w++) {
const waveTasks = pendingRows.filter(r => r.wave === w)
if (waveTasks.length === 0) continue
console.log(` Wave ${w}: ${waveTasks.map(t => `${t.id}(${t.agent})`).join(', ')}`)
}
const answer = AskUserQuestion({
questions: [{
question: `Proceed with ${pendingRows.length} tasks across ${maxWave} waves?`,
header: "Confirm",
multiSelect: false,
options: [
{ label: "Execute", description: "Proceed with wave execution" },
{ label: "Modify", description: `Edit ${sessionFolder}/tasks.csv then --resume-session` },
{ label: "Cancel", description: "Abort" }
]
}]
})
if (answer.Confirm === "Modify") {
console.log(`Edit: ${sessionFolder}/tasks.csv\nResume: $workflow-execute --resume-session=${sessionId}`)
return
} else if (answer.Confirm === "Cancel") {
return
}
}
console.log(`\n tasks.csv: ${taskRows.length} rows (${pendingJsons.length} pending)`)
console.log(` context.csv: ${contextRows.length - 1} entries`)
console.log(` Wave plan: ${maxWave} waves`)Phase 4: Wave Execute (spawn_agents_on_csv)
阶段4:波浪执行(spawn_agents_on_csv)
Objective: Execute tasks wave-by-wave via . Each wave builds from completed predecessors.
spawn_agents_on_csvprev_contextjavascript
console.log(`\n## Phase 4: Wave Execute\n`)
// Determine concurrency from plan.json or flag
let effectiveConcurrency = maxConcurrency
if (planJson.recommended_execution === 'Sequential') {
effectiveConcurrency = 1
console.log(` Sequential mode (from plan.json), concurrency: 1`)
} else {
console.log(` Parallel mode, concurrency: ${effectiveConcurrency}`)
}
// Read context.csv for instruction injection
const contextCsvContent = Read(`${sessionFolder}/context.csv`)
const contextEntries = parseCsv(contextCsvContent)
const contextBlock = contextEntries.map(e => `- **${e.key}** (${e.type}): ${e.value}`).join('\n')
const failedIds = new Set()
const skippedIds = new Set()
for (let wave = 1; wave <= maxWave; wave++) {
console.log(`\n### Wave ${wave}/${maxWave}\n`)
// Re-read master CSV for current state
const masterCsv = parseCsv(Read(`${sessionFolder}/tasks.csv`))
const waveTasks = masterCsv.filter(row =>
parseInt(row.wave) === wave && row.status === 'pending'
)
if (waveTasks.length === 0) {
console.log(` No pending tasks in wave ${wave}`)
continue
}
// Skip tasks whose deps failed/skipped
const executableTasks = []
for (const task of waveTasks) {
const deps = (task.deps || '').split(';').filter(Boolean)
if (deps.some(d => failedIds.has(d) || skippedIds.has(d))) {
skippedIds.add(task.id)
updateMasterCsvRow(`${sessionFolder}/tasks.csv`, task.id, {
status: 'skipped',
error: 'Dependency failed or skipped'
})
console.log(` [${task.id}] ${task.title} → SKIPPED (dependency failed)`)
continue
}
executableTasks.push(task)
}
if (executableTasks.length === 0) {
console.log(` No executable tasks in wave ${wave}`)
continue
}
// Build prev_context for each task
for (const task of executableTasks) {
task.prev_context = buildPrevContext(task.context_from, masterCsv)
}
// Write wave CSV (input columns + prev_context)
const waveHeader = 'id,title,description,agent,scope,deps,execution_group,context_from,wave,task_json_path,hints,execution_directives,acceptance_criteria,prev_context'
const waveRows = executableTasks.map(t =>
[t.id, t.title, t.description, t.agent, t.scope, t.deps, t.execution_group,
t.context_from, t.wave, t.task_json_path, t.hints, t.execution_directives,
t.acceptance_criteria, t.prev_context]
.map(cell => `"${String(cell).replace(/"/g, '""')}"`)
.join(',')
)
Write(`${sessionFolder}/wave-${wave}.csv`, [waveHeader, ...waveRows].join('\n'))
// Execute wave
console.log(` Executing ${executableTasks.length} tasks (concurrency: ${effectiveConcurrency})...`)
spawn_agents_on_csv({
csv_path: `${sessionFolder}/wave-${wave}.csv`,
id_column: "id",
instruction: buildExecuteInstruction(sessionFolder, contextBlock),
max_concurrency: effectiveConcurrency,
max_runtime_seconds: 600,
output_csv_path: `${sessionFolder}/wave-${wave}-results.csv`,
output_schema: {
type: "object",
properties: {
id: { type: "string" },
status: { type: "string", enum: ["completed", "failed"] },
findings: { type: "string" },
files_modified: { type: "array", items: { type: "string" } },
tests_passed: { type: "boolean" },
acceptance_met: { type: "string" },
error: { type: "string" }
},
required: ["id", "status", "findings", "tests_passed"]
}
})
// Merge results into master CSV + update task JSONs
const waveResults = parseCsv(Read(`${sessionFolder}/wave-${wave}-results.csv`))
for (const result of waveResults) {
const filesModified = Array.isArray(result.files_modified)
? result.files_modified.join(';')
: (result.files_modified || '')
updateMasterCsvRow(`${sessionFolder}/tasks.csv`, result.id, {
status: result.status,
findings: result.findings || '',
files_modified: filesModified,
tests_passed: String(result.tests_passed ?? ''),
acceptance_met: result.acceptance_met || '',
error: result.error || ''
})
// Update task JSON status
if (result.status === 'completed' || result.status === 'failed') {
Bash(`cd "${sessionFolder}/.task" && jq '.status="${result.status}" | .status_history=(.status_history // [])+[{"from":"in_progress","to":"${result.status}","changed_at":"'"$(date -Iseconds)"'"}]' "${result.id}.json" > tmp.json && mv tmp.json "${result.id}.json" 2>/dev/null || true`)
}
if (result.status === 'failed') {
failedIds.add(result.id)
console.log(` [${result.id}] → FAILED: ${result.error}`)
} else {
console.log(` [${result.id}] → COMPLETED${result.tests_passed ? ' (tests passed)' : ''}`)
}
// Auto-commit per completed task
if (withCommit && result.status === 'completed' && filesModified) {
const files = filesModified.split(';').filter(Boolean)
if (files.length > 0) {
const taskJson = JSON.parse(Read(`${sessionFolder}/.task/${result.id}.json`) || '{}')
const typeMap = { feature: 'feat', bugfix: 'fix', refactor: 'refactor', 'test-gen': 'test', docs: 'docs' }
const type = typeMap[taskJson.meta?.type] || 'chore'
const title = taskJson.title || result.id
const msg = `${type}: ${title}`
Bash(`git add ${files.map(f => '"' + f + '"').join(' ')} && git commit -m "${msg}" 2>/dev/null || true`)
console.log(` Committed: ${msg}`)
}
}
}
// Cleanup temp wave CSVs
Bash(`rm -f "${sessionFolder}/wave-${wave}.csv" "${sessionFolder}/wave-${wave}-results.csv"`)
const completedCount = waveResults.filter(r => r.status === 'completed').length
const failedCount = waveResults.filter(r => r.status === 'failed').length
console.log(` Wave ${wave} done: ${completedCount} completed, ${failedCount} failed`)
}prev_context Builder
javascript
function buildPrevContext(contextFrom, masterCsv) {
if (!contextFrom) return 'No previous context available'
const ids = contextFrom.split(';').filter(Boolean)
const entries = []
ids.forEach(id => {
const row = masterCsv.find(r => r.id === id)
if (row && row.status === 'completed' && row.findings) {
entries.push(`[${row.id}: ${row.title}] ${row.findings}`)
if (row.files_modified) entries.push(` Modified: ${row.files_modified}`)
}
})
return entries.length > 0 ? entries.join('\n') : 'No previous context available'
}Execute Instruction Template
javascript
function buildExecuteInstruction(sessionFolder, contextBlock) {
return `目标:通过按波浪执行任务。每波浪从已完成的前置任务中构建。
spawn_agents_on_csvprev_contextjavascript
console.log(`\n## Phase 4: Wave Execute\n`)
// Determine concurrency from plan.json or flag
let effectiveConcurrency = maxConcurrency
if (planJson.recommended_execution === 'Sequential') {
effectiveConcurrency = 1
console.log(` Sequential mode (from plan.json), concurrency: 1`)
} else {
console.log(` Parallel mode, concurrency: ${effectiveConcurrency}`)
}
// Read context.csv for instruction injection
const contextCsvContent = Read(`${sessionFolder}/context.csv`)
const contextEntries = parseCsv(contextCsvContent)
const contextBlock = contextEntries.map(e => `- **${e.key}** (${e.type}): ${e.value}`).join('\n')
const failedIds = new Set()
const skippedIds = new Set()
for (let wave = 1; wave <= maxWave; wave++) {
console.log(`\n### Wave ${wave}/${maxWave}\n`)
// Re-read master CSV for current state
const masterCsv = parseCsv(Read(`${sessionFolder}/tasks.csv`))
const waveTasks = masterCsv.filter(row =>
parseInt(row.wave) === wave && row.status === 'pending'
)
if (waveTasks.length === 0) {
console.log(` No pending tasks in wave ${wave}`)
continue
}
// Skip tasks whose deps failed/skipped
const executableTasks = []
for (const task of waveTasks) {
const deps = (task.deps || '').split(';').filter(Boolean)
if (deps.some(d => failedIds.has(d) || skippedIds.has(d))) {
skippedIds.add(task.id)
updateMasterCsvRow(`${sessionFolder}/tasks.csv`, task.id, {
status: 'skipped',
error: 'Dependency failed or skipped'
})
console.log(` [${task.id}] ${task.title} → SKIPPED (dependency failed)`)
continue
}
executableTasks.push(task)
}
if (executableTasks.length === 0) {
console.log(` No executable tasks in wave ${wave}`)
continue
}
// Build prev_context for each task
for (const task of executableTasks) {
task.prev_context = buildPrevContext(task.context_from, masterCsv)
}
// Write wave CSV (input columns + prev_context)
const waveHeader = 'id,title,description,agent,scope,deps,execution_group,context_from,wave,task_json_path,hints,execution_directives,acceptance_criteria,prev_context'
const waveRows = executableTasks.map(t =>
[t.id, t.title, t.description, t.agent, t.scope, t.deps, t.execution_group,
t.context_from, t.wave, t.task_json_path, t.hints, t.execution_directives,
t.acceptance_criteria, t.prev_context]
.map(cell => `"${String(cell).replace(/"/g, '""')}"`)
.join(',')
)
Write(`${sessionFolder}/wave-${wave}.csv`, [waveHeader, ...waveRows].join('\n'))
// Execute wave
console.log(` Executing ${executableTasks.length} tasks (concurrency: ${effectiveConcurrency})...`)
spawn_agents_on_csv({
csv_path: `${sessionFolder}/wave-${wave}.csv`,
id_column: "id",
instruction: buildExecuteInstruction(sessionFolder, contextBlock),
max_concurrency: effectiveConcurrency,
max_runtime_seconds: 600,
output_csv_path: `${sessionFolder}/wave-${wave}-results.csv`,
output_schema: {
type: "object",
properties: {
id: { type: "string" },
status: { type: "string", enum: ["completed", "failed"] },
findings: { type: "string" },
files_modified: { type: "array", items: { type: "string" } },
tests_passed: { type: "boolean" },
acceptance_met: { type: "string" },
error: { type: "string" }
},
required: ["id", "status", "findings", "tests_passed"]
}
})
// Merge results into master CSV + update task JSONs
const waveResults = parseCsv(Read(`${sessionFolder}/wave-${wave}-results.csv`))
for (const result of waveResults) {
const filesModified = Array.isArray(result.files_modified)
? result.files_modified.join(';')
: (result.files_modified || '')
updateMasterCsvRow(`${sessionFolder}/tasks.csv`, result.id, {
status: result.status,
findings: result.findings || '',
files_modified: filesModified,
tests_passed: String(result.tests_passed ?? ''),
acceptance_met: result.acceptance_met || '',
error: result.error || ''
})
// Update task JSON status
if (result.status === 'completed' || result.status === 'failed') {
Bash(`cd "${sessionFolder}/.task" && jq '.status="${result.status}" | .status_history=(.status_history // [])+[{"from":"in_progress","to":"${result.status}","changed_at":"'"$(date -Iseconds)"'"}]' "${result.id}.json" > tmp.json && mv tmp.json "${result.id}.json" 2>/dev/null || true`)
}
if (result.status === 'failed') {
failedIds.add(result.id)
console.log(` [${result.id}] → FAILED: ${result.error}`)
} else {
console.log(` [${result.id}] → COMPLETED${result.tests_passed ? ' (tests passed)' : ''}`)
}
// Auto-commit per completed task
if (withCommit && result.status === 'completed' && filesModified) {
const files = filesModified.split(';').filter(Boolean)
if (files.length > 0) {
const taskJson = JSON.parse(Read(`${sessionFolder}/.task/${result.id}.json`) || '{}')
const typeMap = { feature: 'feat', bugfix: 'fix', refactor: 'refactor', 'test-gen': 'test', docs: 'docs' }
const type = typeMap[taskJson.meta?.type] || 'chore'
const title = taskJson.title || result.id
const msg = `${type}: ${title}`
Bash(`git add ${files.map(f => '"' + f + '"').join(' ')} && git commit -m "${msg}" 2>/dev/null || true`)
console.log(` Committed: ${msg}`)
}
}
}
// Cleanup temp wave CSVs
Bash(`rm -f "${sessionFolder}/wave-${wave}.csv" "${sessionFolder}/wave-${wave}-results.csv"`)
const completedCount = waveResults.filter(r => r.status === 'completed').length
const failedCount = waveResults.filter(r => r.status === 'failed').length
console.log(` Wave ${wave} done: ${completedCount} completed, ${failedCount} failed`)
}prev_context 构建函数
javascript
function buildPrevContext(contextFrom, masterCsv) {
if (!contextFrom) return 'No previous context available'
const ids = contextFrom.split(';').filter(Boolean)
const entries = []
ids.forEach(id => {
const row = masterCsv.find(r => r.id === id)
if (row && row.status === 'completed' && row.findings) {
entries.push(`[${row.id}: ${row.title}] ${row.findings}`)
if (row.files_modified) entries.push(` Modified: ${row.files_modified}`)
}
})
return entries.length > 0 ? entries.join('\n') : 'No previous context available'
}执行指令模板
javascript
function buildExecuteInstruction(sessionFolder, contextBlock) {
return `TASK ASSIGNMENT
任务分配
MANDATORY FIRST STEPS
必须首先执行的步骤
- Read your FULL task JSON: ${sessionFolder}/{task_json_path}
- CSV row is a brief — task JSON has pre_analysis, flow_control, convergence, and full context
- Read shared discoveries: ${sessionFolder}/discoveries.ndjson (if exists)
- Read project context: .workflow/project-tech.json (if exists)
- 读取完整的任务JSON:${sessionFolder}/{task_json_path}
- CSV行仅为精简信息 —— 任务JSON包含pre_analysis、flow_control、convergence和完整上下文
- 读取共享发现结果:${sessionFolder}/discoveries.ndjson(如果存在)
- 读取项目上下文:.workflow/project-tech.json(如果存在)
Your Task
你的任务
Task ID: {id}
Title: {title}
Description: {description}
Agent Type: {agent}
Scope: {scope}
任务ID:{id}
标题:{title}
描述:{description}
Agent类型:{agent}
范围:{scope}
Task JSON (full details)
任务JSON(完整详情)
Read: ${sessionFolder}/{task_json_path}
读取:${sessionFolder}/{task_json_path}
Implementation Hints & Reference Files
实现提示与参考文件
{hints}
Format: `tips text || file1;file2`. Read ALL reference files (after ||) before starting. Apply tips (before ||) as guidance.
{hints}
格式:`提示文本 || 文件1;文件2`。开始前请阅读||后的所有参考文件。将||前的提示作为指导。
Execution Directives
执行指令
{execution_directives}
Commands to run for verification, tool restrictions, or environment requirements.
{execution_directives}
用于验证的命令、工具限制或环境要求。
Acceptance Criteria
验收标准
{acceptance_criteria}
{acceptance_criteria}
Previous Context (from predecessor tasks)
前置上下文(来自前置任务)
{prev_context}
{prev_context}
Project Context
项目上下文
${contextBlock}
${contextBlock}
Execution Protocol
执行协议
- Read task JSON: Load ${sessionFolder}/{task_json_path} for full task details including pre_analysis steps and flow_control
- Check execution method: If task JSON has `execution_config.method`, follow it (agent vs cli mode)
- Execute pre_analysis: If task JSON has `pre_analysis` steps, run them first to gather context
- Read references: Parse {hints} — read all files listed after `||` to understand existing patterns
- Read discoveries: Load ${sessionFolder}/discoveries.ndjson for shared findings
- Use context: Apply predecessor tasks' findings from prev_context above
- Stay in scope: ONLY create/modify files within {scope} — do NOT touch files outside this boundary
- Apply hints: Follow implementation tips from {hints} (before `||`)
- Execute: Implement the task as described in the task JSON
- Generate summary: Write execution summary to ${sessionFolder}/.summaries/{id}-summary.md with sections:
Summary, ## Files Modified (as `- \`path\`` list), ## Key Decisions, ## Tests
- Run directives: Execute commands from {execution_directives} to verify your work
- Update TODO: In ${sessionFolder}/TODO_LIST.md, change `- [ ] {id}` to `- [x] {id}`
- Share discoveries: Append findings to shared board: ```bash echo '{"ts":"<ISO8601>","worker":"{id}","type":"<type>","data":{...}}' >> ${sessionFolder}/discoveries.ndjson ```
- Report result: Return JSON via report_agent_job_result
- 读取任务JSON:加载${sessionFolder}/{task_json_path}获取完整任务详情,包括pre_analysis步骤和flow_control
- 检查执行方式:如果任务JSON包含`execution_config.method`,请遵循该方式(Agent或CLI模式)
- 执行预分析:如果任务JSON包含`pre_analysis`步骤,请先执行这些步骤以收集上下文
- 读取参考文件:解析{hints} —— 读取||后列出的所有文件以了解现有模式
- 读取发现结果:加载${sessionFolder}/discoveries.ndjson获取共享发现
- 使用上下文:应用上述prev_context中前置任务的发现结果
- 保持在范围内:仅在{scope}内创建/修改文件 —— 请勿触碰该范围外的文件
- 应用提示:遵循{hints}中的实现提示(||前的内容)
- 执行任务:按照任务JSON中的描述实现任务
- 生成摘要:将执行摘要写入${sessionFolder}/.summaries/{id}-summary.md,包含以下章节:
摘要, ## 修改的文件(以`- \`路径\``列表形式), ## 关键决策, ## 测试
- 执行指令:执行{execution_directives}中的命令以验证你的工作
- 更新TODO:在${sessionFolder}/TODO_LIST.md中,将`- [ ] {id}`修改为`- [x] {id}`
- 共享发现结果:将发现结果追加到共享面板: ```bash echo '{"ts":"<ISO8601>","worker":"{id}","type":"<type>","data":{...}}' >> ${sessionFolder}/discoveries.ndjson ```
- 报告结果:通过report_agent_job_result返回JSON
Discovery Types to Share
可共享的发现类型
- `code_pattern`: {name, file, description} — reusable patterns found
- `integration_point`: {file, description, exports[]} — module connection points
- `convention`: {naming, imports, formatting} — code style conventions
- `blocker`: {issue, severity, impact} — blocking issues encountered
- `code_pattern`: {name, file, description} —— 发现的可复用模式
- `integration_point`: {file, description, exports[]} —— 模块连接点
- `convention`: {naming, imports, formatting} —— 代码风格约定
- `blocker`: {issue, severity, impact} —— 遇到的阻塞问题
Output (report_agent_job_result)
输出(report_agent_job_result)
Return JSON:
{
"id": "{id}",
"status": "completed" | "failed",
"findings": "Key discoveries and implementation notes (max 500 chars)",
"files_modified": ["path1", "path2"],
"tests_passed": true | false,
"acceptance_met": "Summary of which acceptance criteria were met/unmet",
"error": ""
}
IMPORTANT: Set status to "completed" ONLY if:
- All acceptance criteria are met
- Verification directives pass (if any) Otherwise set status to "failed" with details in error field. ` }
---返回JSON:
{
"id": "{id}",
"status": "completed" | "failed",
"findings": "关键发现和实现说明(最多500字符)",
"files_modified": ["路径1", "路径2"],
"tests_passed": true | false,
"acceptance_met": "已满足/未满足的验收标准摘要",
"error": ""
}
重要提示:仅当以下条件满足时,才将status设置为"completed":
- 所有验收标准均已满足
- 验证指令通过(如果有) 否则将status设置为"failed",并在error字段中填写详细信息。 ` }
---Phase 5: Results Sync
阶段5:结果同步
Objective: Export results, reconcile TODO_LIST.md, update session status.
javascript
console.log(`\n## Phase 5: Results Sync\n`)
// 5.1: Export results.csv (final copy of tasks.csv)
const finalCsvContent = Read(`${sessionFolder}/tasks.csv`)
Write(`${sessionFolder}/results.csv`, finalCsvContent)
// 5.2: Reconcile TODO_LIST.md with tasks.csv status
const finalTasks = parseCsv(finalCsvContent)
let todoMd = Read(`${sessionFolder}/TODO_LIST.md`)
for (const task of finalTasks) {
if (task.status === 'completed') {
// Ensure marked as [x] in TODO_LIST.md
const uncheckedPattern = new RegExp(`^(- \\[ \\] ${task.id.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}(:.*)?)$`, 'm')
todoMd = todoMd.replace(uncheckedPattern, (match, line) => line.replace('- [ ]', '- [x]'))
}
}
Write(`${sessionFolder}/TODO_LIST.md`, todoMd)
// 5.3: Summary
const completed = finalTasks.filter(t => t.status === 'completed')
const failed = finalTasks.filter(t => t.status === 'failed')
const skipped = finalTasks.filter(t => t.status === 'skipped')
const pending = finalTasks.filter(t => t.status === 'pending')
console.log(` Results:`)
console.log(` Completed: ${completed.length}`)
console.log(` Failed: ${failed.length}`)
console.log(` Skipped: ${skipped.length}`)
console.log(` Pending: ${pending.length}`)
// 5.4: Update session status
const allDone = failed.length === 0 && skipped.length === 0 && pending.length === 0
const sessionStatus = allDone ? 'completed' : 'partial'
Bash(`cd "${sessionFolder}" && jq '.status = "${sessionStatus}" | .completed_at = "'"$(date -Iseconds)"'"' workflow-session.json > tmp.json && mv tmp.json workflow-session.json 2>/dev/null || true`)
// 5.5: User next step
if (AUTO_YES) {
console.log(` [--yes] Session ${sessionId} ${sessionStatus}.`)
} else {
const nextStep = AskUserQuestion({
questions: [{
question: "Execution complete. What's next?",
header: "Next Step",
multiSelect: false,
options: [
{ label: "Enter Review", description: "Run post-implementation review (security/quality/architecture)" },
{ label: "Complete Session", description: "Archive session and finalize" }
]
}]
})
if (nextStep['Next Step'] === 'Enter Review') {
// → Phase 6
} else {
console.log(` Session ${sessionId} ${sessionStatus}.`)
}
}目标:导出结果,同步TODO_LIST.md,更新会话状态。
javascript
console.log(`\n## Phase 5: Results Sync\n`)
// 5.1: Export results.csv (final copy of tasks.csv)
const finalCsvContent = Read(`${sessionFolder}/tasks.csv`)
Write(`${sessionFolder}/results.csv`, finalCsvContent)
// 5.2: Reconcile TODO_LIST.md with tasks.csv status
const finalTasks = parseCsv(finalCsvContent)
let todoMd = Read(`${sessionFolder}/TODO_LIST.md`)
for (const task of finalTasks) {
if (task.status === 'completed') {
// Ensure marked as [x] in TODO_LIST.md
const uncheckedPattern = new RegExp(`^(- \\[ \\] ${task.id.replace(/[.*+?^${}()|[\]\\]/g, '\\$&')}(:.*)?)$`, 'm')
todoMd = todoMd.replace(uncheckedPattern, (match, line) => line.replace('- [ ]', '- [x]'))
}
}
Write(`${sessionFolder}/TODO_LIST.md`, todoMd)
// 5.3: Summary
const completed = finalTasks.filter(t => t.status === 'completed')
const failed = finalTasks.filter(t => t.status === 'failed')
const skipped = finalTasks.filter(t => t.status === 'skipped')
const pending = finalTasks.filter(t => t.status === 'pending')
console.log(` Results:`)
console.log(` Completed: ${completed.length}`)
console.log(` Failed: ${failed.length}`)
console.log(` Skipped: ${skipped.length}`)
console.log(` Pending: ${pending.length}`)
// 5.4: Update session status
const allDone = failed.length === 0 && skipped.length === 0 && pending.length === 0
const sessionStatus = allDone ? 'completed' : 'partial'
Bash(`cd "${sessionFolder}" && jq '.status = "${sessionStatus}" | .completed_at = "'"$(date -Iseconds)"'"' workflow-session.json > tmp.json && mv tmp.json workflow-session.json 2>/dev/null || true`)
// 5.5: User next step
if (AUTO_YES) {
console.log(` [--yes] Session ${sessionId} ${sessionStatus}.`)
} else {
const nextStep = AskUserQuestion({
questions: [{
question: "Execution complete. What's next?",
header: "Next Step",
multiSelect: false,
options: [
{ label: "Enter Review", description: "Run post-implementation review (security/quality/architecture)" },
{ label: "Complete Session", description: "Archive session and finalize" }
]
}]
})
if (nextStep['Next Step'] === 'Enter Review') {
// → Phase 6
} else {
console.log(` Session ${sessionId} ${sessionStatus}.`)
}
}Phase 6: Post-Implementation Review (Optional)
阶段6:实施后评审(可选)
Objective: CLI-assisted specialized review of implemented code.
javascript
// Phase 6 entry (from Phase 5 "Enter Review" or direct invocation)
console.log(`\n## Phase 6: Post-Implementation Review\n`)
const reviewType = AUTO_YES ? 'quality' : (() => {
const answer = AskUserQuestion({
questions: [{
question: "Select review type:",
header: "Review",
multiSelect: false,
options: [
{ label: "Quality", description: "Code quality, best practices, maintainability" },
{ label: "Security", description: "Security vulnerabilities, OWASP Top 10" },
{ label: "Architecture", description: "Architecture decisions, scalability, patterns" },
{ label: "Action Items", description: "TODO items, tech debt, follow-ups" }
]
}]
})
return answer.Review.toLowerCase()
})()
// Get list of modified files from tasks.csv
const reviewTasks = parseCsv(Read(`${sessionFolder}/tasks.csv`))
const allModifiedFiles = new Set()
reviewTasks.forEach(t => {
(t.files_modified || '').split(';').filter(Boolean).forEach(f => allModifiedFiles.add(f))
})
const fileList = [...allModifiedFiles].join(', ')
Bash({
command: `ccw cli -p "PURPOSE: Post-implementation ${reviewType} review of modified files. Identify issues and generate actionable report.
TASK:
• Review all modified files for ${reviewType} concerns
• Assess overall ${reviewType} posture
• Generate prioritized issue list with severity
• Provide remediation recommendations
MODE: analysis
CONTEXT: @${[...allModifiedFiles].map(f => f).join(' @')}
EXPECTED: Structured ${reviewType} review report with: summary, issue list (severity, file, line, description, fix), overall score
CONSTRAINTS: Focus on ${reviewType} | Review only modified files: ${fileList}" --tool gemini --mode analysis --rule analysis-review-code-quality`,
run_in_background: true
})
// Wait for CLI → review report
Write(`${sessionFolder}/REVIEW-${reviewType}.md`, reviewReport)
console.log(` Review complete: ${sessionFolder}/REVIEW-${reviewType}.md`)
// Post-review options
if (!AUTO_YES) {
const postReview = AskUserQuestion({
questions: [{
question: "Review complete. What's next?",
header: "Post-Review",
multiSelect: false,
options: [
{ label: "Another Review", description: "Run a different review type" },
{ label: "Complete Session", description: "Archive and finalize" }
]
}]
})
if (postReview['Post-Review'] === 'Another Review') {
// Loop back to Phase 6 review type selection
}
}
console.log(`\nSession ${sessionId} execution complete.`)目标:通过CLI辅助对已实现的代码进行专项评审。
javascript
// Phase 6 entry (from Phase 5 "Enter Review" or direct invocation)
console.log(`\n## Phase 6: Post-Implementation Review\n`)
const reviewType = AUTO_YES ? 'quality' : (() => {
const answer = AskUserQuestion({
questions: [{
question: "Select review type:",
header: "Review",
multiSelect: false,
options: [
{ label: "Quality", description: "Code quality, best practices, maintainability" },
{ label: "Security", description: "Security vulnerabilities, OWASP Top 10" },
{ label: "Architecture", description: "Architecture decisions, scalability, patterns" },
{ label: "Action Items", description: "TODO items, tech debt, follow-ups" }
]
}]
})
return answer.Review.toLowerCase()
})()
// Get list of modified files from tasks.csv
const reviewTasks = parseCsv(Read(`${sessionFolder}/tasks.csv`))
const allModifiedFiles = new Set()
reviewTasks.forEach(t => {
(t.files_modified || '').split(';').filter(Boolean).forEach(f => allModifiedFiles.add(f))
})
const fileList = [...allModifiedFiles].join(', ')
Bash({
command: `ccw cli -p "PURPOSE: Post-implementation ${reviewType} review of modified files. Identify issues and generate actionable report.
TASK:
• Review all modified files for ${reviewType} concerns
• Assess overall ${reviewType} posture
• Generate prioritized issue list with severity
• Provide remediation recommendations
MODE: analysis
CONTEXT: @${[...allModifiedFiles].map(f => f).join(' @')}
EXPECTED: Structured ${reviewType} review report with: summary, issue list (severity, file, line, description, fix), overall score
CONSTRAINTS: Focus on ${reviewType} | Review only modified files: ${fileList}" --tool gemini --mode analysis --rule analysis-review-code-quality`,
run_in_background: true
})
// Wait for CLI → review report
Write(`${sessionFolder}/REVIEW-${reviewType}.md`, reviewReport)
console.log(` Review complete: ${sessionFolder}/REVIEW-${reviewType}.md`)
// Post-review options
if (!AUTO_YES) {
const postReview = AskUserQuestion({
questions: [{
question: "Review complete. What's next?",
header: "Post-Review",
multiSelect: false,
options: [
{ label: "Another Review", description: "Run a different review type" },
{ label: "Complete Session", description: "Archive and finalize" }
]
}]
})
if (postReview['Post-Review'] === 'Another Review') {
// Loop back to Phase 6 review type selection
}
}
console.log(`\nSession ${sessionId} execution complete.`)CSV Helpers
CSV 辅助函数
javascript
function parseCsv(content) {
const lines = content.trim().split('\n')
if (lines.length < 2) return []
const header = parseCsvLine(lines[0])
return lines.slice(1).map(line => {
const cells = parseCsvLine(line)
const obj = {}
header.forEach((col, i) => { obj[col] = cells[i] || '' })
return obj
})
}
function parseCsvLine(line) {
const cells = []
let current = ''
let inQuotes = false
for (let i = 0; i < line.length; i++) {
const ch = line[i]
if (inQuotes) {
if (ch === '"' && line[i + 1] === '"') {
current += '"'
i++
} else if (ch === '"') {
inQuotes = false
} else {
current += ch
}
} else {
if (ch === '"') {
inQuotes = true
} else if (ch === ',') {
cells.push(current)
current = ''
} else {
current += ch
}
}
}
cells.push(current)
return cells
}
function updateMasterCsvRow(csvPath, taskId, updates) {
const content = Read(csvPath)
const lines = content.split('\n')
const header = parseCsvLine(lines[0])
for (let i = 1; i < lines.length; i++) {
const cells = parseCsvLine(lines[i])
if (cells[0] === taskId) {
for (const [col, val] of Object.entries(updates)) {
const colIdx = header.indexOf(col)
if (colIdx >= 0) {
cells[colIdx] = String(val).replace(/"/g, '""')
}
}
lines[i] = cells.map(c => `"${c}"`).join(',')
break
}
}
Write(csvPath, lines.join('\n'))
}
function csvEscape(val) {
return `"${String(val).replace(/"/g, '""')}"`
}javascript
function parseCsv(content) {
const lines = content.trim().split('\n')
if (lines.length < 2) return []
const header = parseCsvLine(lines[0])
return lines.slice(1).map(line => {
const cells = parseCsvLine(line)
const obj = {}
header.forEach((col, i) => { obj[col] = cells[i] || '' })
return obj
})
}
function parseCsvLine(line) {
const cells = []
let current = ''
let inQuotes = false
for (let i = 0; i < line.length; i++) {
const ch = line[i]
if (inQuotes) {
if (ch === '"' && line[i + 1] === '"') {
current += '"'
i++
} else if (ch === '"') {
inQuotes = false
} else {
current += ch
}
} else {
if (ch === '"') {
inQuotes = true
} else if (ch === ',') {
cells.push(current)
current = ''
} else {
current += ch
}
}
}
cells.push(current)
return cells
}
function updateMasterCsvRow(csvPath, taskId, updates) {
const content = Read(csvPath)
const lines = content.split('\n')
const header = parseCsvLine(lines[0])
for (let i = 1; i < lines.length; i++) {
const cells = parseCsvLine(lines[i])
if (cells[0] === taskId) {
for (const [col, val] of Object.entries(updates)) {
const colIdx = header.indexOf(col)
if (colIdx >= 0) {
cells[colIdx] = String(val).replace(/"/g, '""')
}
}
lines[i] = cells.map(c => `"${c}"`).join(',')
break
}
}
Write(csvPath, lines.join('\n'))
}
function csvEscape(val) {
return `"${String(val).replace(/"/g, '""')}"`
}Agent Assignment Rules
Agent 分配规则
meta.agent specified → Use specified agent file
meta.agent missing → Infer from meta.type:
feature → code-developer
test-gen → code-developer
test-fix → test-fix-agent
review → universal-executor
docs → doc-generator
default → code-developer指定了meta.agent → 使用指定的Agent文件
未指定meta.agent → 根据meta.type推断:
feature → code-developer
test-gen → code-developer
test-fix → test-fix-agent
review → universal-executor
docs → doc-generator
default → code-developerError Handling
错误处理
| Error | Recovery |
|---|---|
| No active sessions | Guide: run |
| Missing planning docs | Guide: run |
| Agent failure | Mark failed in tasks.csv, skip dependents, continue wave |
| Dependency cascade | Skip dependent tasks, report at Phase 5 |
| CSV parse error | Validate CSV format, report line number |
| Task JSON corruption | Skip task, mark failed in CSV |
| Commit failure | Log error, continue execution (non-blocking) |
| Circular dependency | Warn and assign to last wave |
| All wave tasks skipped | Log and continue to next wave |
| 错误 | 恢复方式 |
|---|---|
| 无活跃会话 | 指导:先运行 |
| 缺少规划文档 | 指导:运行 |
| Agent执行失败 | 在tasks.csv中标记为失败,跳过依赖任务,继续执行波浪 |
| 依赖级联失败 | 跳过依赖任务,在阶段5报告 |
| CSV解析错误 | 验证CSV格式,报告行号 |
| 任务JSON损坏 | 跳过任务,在CSV中标记为失败 |
| 提交失败 | 记录错误,继续执行(非阻塞) |
| 循环依赖 | 警告并分配到最后一个波浪 |
| 波浪中所有任务被跳过 | 记录并继续下一个波浪 |
Core Rules
核心规则
- Wave Order is Sacred: Never execute wave N before wave N-1 completes and results merge
- CSV is Execution State: tasks.csv holds all execution state — always re-read before each wave
- Task JSON is Rich Data: agents read full task JSON via — CSV is brief
task_json_path - Skip on Failure: If a dependency failed, skip the dependent task (cascade)
- Cleanup Temp Files: Remove wave CSVs after results are merged
- TODO_LIST.md Sync: Phase 5 reconciles TODO_LIST.md with tasks.csv final state
- Discovery Board is Append-Only: Never clear, modify, or recreate discoveries.ndjson
- DO NOT STOP: Continuous execution until all waves complete or all remaining tasks are skipped
- Planning Artifacts Unchanged: IMPL-*.json, plan.json, IMPL_PLAN.md formats are preserved
- 波浪顺序不可打破:在波浪N-1完成并合并结果之前,绝不能执行波浪N
- CSV为执行状态:tasks.csv包含所有执行状态 —— 每波浪前务必重新读取
- 任务JSON为富数据源:Agent通过读取完整任务JSON —— CSV仅为精简信息
task_json_path - 失败则跳过:如果依赖任务失败,跳过该依赖任务(级联)
- 清理临时文件:合并结果后删除波浪CSV文件
- 同步TODO_LIST.md:阶段5根据tasks.csv的最终状态同步TODO_LIST.md
- 发现面板仅可追加:绝不能清除、修改或重新创建discoveries.ndjson
- 不要停止:持续执行直到所有波浪完成或所有剩余任务被跳过
- 规划工件保持不变:IMPL-*.json、plan.json、IMPL_PLAN.md的格式保持不变
Compact Protection
压缩保护
COMPACT DIRECTIVE: If context compression occurs during execution:
- Re-read
for current execution state (source of truth)tasks.csv- Re-read
for progress displayTODO_LIST.md- Re-read
for execution hints (concurrency, phases)plan.json- Task JSONs are read per-wave via
, compression has minimal impacttask_json_path- Wave loop state (
,failedIds,skippedIds) can be reconstructed from tasks.csv status columnwave
压缩指令:如果执行过程中发生上下文压缩:
- 重新读取
获取当前执行状态(权威来源)tasks.csv- 重新读取
获取进度显示TODO_LIST.md- 重新读取
获取执行提示(并发数、阶段)plan.json- 任务JSON通过
按波浪读取,压缩影响极小task_json_path- 波浪循环状态(
、failedIds、skippedIds)可从tasks.csv的status列重建wave