session-wrap

安装量: 200
排名: #4307

安装

npx skills add https://github.com/ai-native-camp/camp-2 --skill session-wrap

Session Wrap Skill Comprehensive session wrap-up workflow with multi-agent analysis. Execution Flow ┌─────────────────────────────────────────────────────┐ │ 1. Check Git Status │ ├─────────────────────────────────────────────────────┤ │ 2. Phase 1: 4 Analysis Agents (Parallel) │ │ ┌─────────────────┬─────────────────┐ │ │ │ doc-updater │ automation- │ │ │ │ (docs update) │ scout │ │ │ ├─────────────────┼─────────────────┤ │ │ │ learning- │ followup- │ │ │ │ extractor │ suggester │ │ │ └─────────────────┴─────────────────┘ │ ├─────────────────────────────────────────────────────┤ │ 3. Phase 2: Validation Agent (Sequential) │ │ ┌───────────────────────────────────┐ │ │ │ duplicate-checker │ │ │ │ (Validate Phase 1 proposals) │ │ │ └───────────────────────────────────┘ │ ├─────────────────────────────────────────────────────┤ │ 4. Integrate Results & AskUserQuestion │ ├─────────────────────────────────────────────────────┤ │ 5. Execute Selected Actions │ └─────────────────────────────────────────────────────┘ Step 1: Check Git Status git status --short git diff --stat HEAD~3 2

/dev/null || git diff --stat Step 2: Phase 1 - Analysis Agents (Parallel) Execute 4 agents in parallel (single message with 4 Task calls). Session Summary (Provide to all agents) Session Summary: - Work: [Main tasks performed in session] - Files: [Created/modified files] - Decisions: [Key decisions made] Parallel Execution Task( subagent_type="doc-updater", description="Document update analysis", prompt="[Session Summary]\n\nAnalyze if CLAUDE.md, context.md need updates." ) Task( subagent_type="automation-scout", description="Automation pattern analysis", prompt="[Session Summary]\n\nAnalyze repetitive patterns or automation opportunities." ) Task( subagent_type="learning-extractor", description="Learning points extraction", prompt="[Session Summary]\n\nExtract learnings, mistakes, and new discoveries." ) Task( subagent_type="followup-suggester", description="Follow-up task suggestions", prompt="[Session Summary]\n\nSuggest incomplete tasks and next session priorities." ) Agent Roles Agent Role Output doc-updater Analyze CLAUDE.md/context.md updates Specific content to add automation-scout Detect automation patterns skill/command/agent suggestions learning-extractor Extract learning points TIL format summary followup-suggester Suggest follow-up tasks Prioritized task list Step 3: Phase 2 - Validation Agent (Sequential) Run after Phase 1 completes (dependency on Phase 1 results). Task( subagent_type="duplicate-checker", description="Phase 1 proposal validation", prompt=""" Validate Phase 1 analysis results.

doc-updater proposals:

[doc-updater results]

automation-scout proposals:

[automation-scout results] Check if proposals duplicate existing docs/automation: 1. Complete duplicate: Recommend skip 2. Partial duplicate: Suggest merge approach 3. No duplicate: Approve for addition """ ) Step 4: Integrate Results

Wrap Analysis Results

Documentation Updates [doc-updater summary] - Duplicate check: [duplicate-checker feedback]

Automation Suggestions [automation-scout summary] - Duplicate check: [duplicate-checker feedback]

Learning Points [learning-extractor summary]

Follow-up Tasks [followup-suggester summary] Step 5: Action Selection AskUserQuestion( questions=[{ "question": "Which actions would you like to perform?", "header": "Wrap Options", "multiSelect": true, "options": [ {"label": "Create commit (Recommended)", "description": "Commit changes"}, {"label": "Update CLAUDE.md", "description": "Document new knowledge/workflows"}, {"label": "Create automation", "description": "Generate skill/command/agent"}, {"label": "Skip", "description": "End without action"} ] }] ) Step 6: Execute Selected Actions Execute only the actions selected by user. Quick Reference When to Use End of significant work session Before switching to different project After completing a feature or fixing a bug When to Skip Very short session with trivial changes Only reading/exploring code Quick one-off question answered Arguments Empty: Proceed interactively (full workflow) Message provided: Use as commit message and commit directly Additional Resources See references/multi-agent-patterns.md for detailed orchestration patterns.

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