horizon-track

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

Horizon Track

长期目标跟踪（Horizon Track）

Track long-running objectives that span multiple sessions, days, or weeks.

跟踪跨越多个会话、数天或数周的长期运行目标。

When to use

使用场景

When an objective is too large for a single session — multi-week features, research programs, migration projects, or any work that requires persistent progress tracking across conversations.

当目标过于庞大，无法在单个会话内完成时——比如需要数周开发的功能、研究项目、迁移工程，或是任何需要在多轮对话中持续跟踪进度的工作。

Steps

操作步骤

Initialize horizon — define the objective, target date, and 3-7 milestones

Store horizon — call

mcp__claude-flow__memory_store

with namespace

horizons

and key

horizon-[name]

json

{
  "objective": "...",
  "created": "2026-04-28",
  "targetDate": "2026-05-15",
  "milestones": [
    {"id": "m1", "name": "...", "criteria": "...", "status": "pending"},
    {"id": "m2", "name": "...", "criteria": "...", "status": "pending"}
  ],
  "currentMilestone": "m1",
  "sessions": []
}

Session check-in — at the start of each session:
- Recall horizon:
```
mcp__claude-flow__memory_retrieve
```
  key
```
horizon-[name]
```
  namespace
```
horizons
```
- Review milestone status
- Assess drift (are we still on track?)
- Plan this session's contribution
Work and record — as work progresses:
- Update milestone status
- Record session summary
- Store intermediate findings
Session check-out — at the end of each session:
- Update horizon state in memory
- Record what was accomplished
- Note blockers or scope changes
- Estimate remaining effort
Milestone completion — when a milestone is done:
- Verify completion criteria met
- Store learned patterns via
```
mcp__claude-flow__hooks_intelligence_pattern-store
```
- Advance to next milestone
Drift detection — flag when:
- Progress rate suggests target date will be missed
- Scope has grown beyond original definition
- Dependencies have changed
- Approach needs fundamental rethinking

初始化长期目标 —— 定义目标内容、截止日期以及3-7个里程碑

存储长期目标 —— 调用

mcp__claude-flow__memory_store

，命名空间为

horizons

，键为

horizon-[name]

：

json

{
  "objective": "...",
  "created": "2026-04-28",
  "targetDate": "2026-05-15",
  "milestones": [
    {"id": "m1", "name": "...", "criteria": "...", "status": "pending"},
    {"id": "m2", "name": "...", "criteria": "...", "status": "pending"}
  ],
  "currentMilestone": "m1",
  "sessions": []
}

会话签到 —— 在每个会话开始时：
- 调取长期目标：使用
```
mcp__claude-flow__memory_retrieve
```
  获取命名空间
```
horizons
```
  下键为
```
horizon-[name]
```
  的内容
- 查看里程碑状态
- 评估偏差（我们是否仍在正轨上？）
- 规划本次会话的任务贡献
工作与记录 —— 随着工作推进：
- 更新里程碑状态
- 记录会话摘要
- 存储中间成果
会话签退 —— 在每个会话结束时：
- 更新内存中的长期目标状态
- 记录已完成的工作
- 标注障碍或范围变更
- 估算剩余工作量
里程碑完成 —— 当某个里程碑完成时：
- 验证是否满足完成标准
- 通过
```
mcp__claude-flow__hooks_intelligence_pattern-store
```
  存储已总结的模式
- 推进至下一个里程碑
偏差检测 —— 出现以下情况时发出警示：
- 进度速率表明将无法按期完成
- 范围超出最初定义
- 依赖关系发生变化
- 方法需要根本性调整

Memory namespaces

内存命名空间

```
horizons
```
— active horizon definitions and state
```
horizon-sessions
```
— per-session summaries keyed by
```
[horizon]-[date]
```
```
horizon-learnings
```
— patterns and insights discovered during the horizon

```
horizons
```
—— 活跃的长期目标定义及状态
```
horizon-sessions
```
—— 按
```
[horizon]-[date]
```
键存储的每会话摘要
```
horizon-learnings
```
—— 在长期目标执行过程中发现的模式和见解