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Found 9 Skills
Capture and persist lessons learned from a session to compound knowledge over time. Triggers on "/lessons-learned", "what did we learn", "save lessons", "update skills with what we learned", or at the end of a complex multi-session task. PROACTIVE USE: This skill should also be suggested or invoked (1) when resuming from context compaction (the previous context likely contained unrecorded lessons), (2) after resolving a non-trivial bug or debugging session, (3) after significant friction or failed approaches that yielded insight, (4) after a council-of-bots review that surfaced fixes. Identifies reusable patterns, bug fixes, workflow insights, and tool quirks, then persists them to the right places: auto-memory (project-specific), skill files (reusable across projects), or both.
Complete project planning and execution framework. Automatically includes all 14 planning sections (planning/0-Master-Index.md through planning/13-Lessons-Learned-Continuous-Improvement.md) plus all 9 Claude Skills (tech-stack-selector, architecture-decisions, code-standards-enforcer, ci-cd-pipeline-builder, agile-executor, project-risk-identifier, automation-orchestrator, webapp-testing, web-artifacts-builder). When installed, all planning templates and execution skills are immediately available.
AIWorkflowOrchestratorの正本仕様を `references/` から検索・参照・更新するスキル。 resource-map / quick-reference / topic-map / keywords を起点に、必要最小限の文書だけを段階的に読む。 用途: 要件確認、設計/API/IPC契約確認、UI/状態管理/セキュリティ判断、task-workflow・lessons-learned・未タスク同期。 特に safeInvoke timeout、settings bypass、skill lifecycle、global nav、Skill Center / Workspace / Agent / Skill Creator の導線再編を扱う。 Anchors: • Specification-Driven Development / 適用: 正本仕様同期 / 目的: 実装-仕様整合の維持 • Progressive Disclosure / 適用: resource-map起点読込 / 目的: 必要最小限参照で漏れ防止 Trigger: 仕様確認, 仕様更新, task-workflow同期, lessons-learned同期, UI仕様反映, API/IPC契約確認, セキュリティ要件確認, safeInvoke, timeout, settings bypass, skill lifecycle, Skill Center, Workspace, Agent, Skill Creator, navContract, GlobalNavStrip, MobileNavBar, SkillManagementPanel, line budget reform, spec splitting, family split, generated index sharding
Conduct a project or sprint retrospective by gathering data from status reports and velocity metrics, structuring what went well and what needs improvement, and generating actionable improvement items with owners and due dates. Use at the end of a sprint, after a project phase or milestone, following a significant incident or success, at a quarterly review of ongoing processes, or before starting a similar project to capture lessons learned.
Extracts lessons learned from conversations and persists them to AI assistant config files (CLAUDE.md, GEMINI.md, AGENTS.md, Cursor, Copilot, Windsurf, Continue). Use when: debugging revealed issues, commands failed then succeeded, assumptions proved wrong, workarounds were discovered, undocumented behavior found, or user says "remember this".
Closure & Learning (The Learner): Formalize project closure, capture lessons learned, and generate final reports.
Portfolio retrospective skill for capturing lessons learned, process improvements, and organizational learning across completed projects.
Create session retrospective with AI diary and lessons learned. Use when user says "rrr", "retrospective", "wrap up session", "session summary", or at end of work session.
Summarize lessons learned from ccbox session logs (projects/sessions/history/skills) so the agent can do better next time. Produce copy-ready instruction updates (project + global) backed by evidence, with optional skill-span context to attribute failures to specific skills. Use when asked to run /ccbox:insights, generate a "lessons learned" memo, or propose standing instructions from session history.