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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

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.

Weekly Installs

128

Repository

ai-native-camp/camp-2

GitHub Stars

9

First Seen

6 days ago

Security Audits

Gen Agent Trust HubWarnSocketPassSnykPass

Installed on

claude-code125

opencode8

codex8

gemini-cli7

github-copilot7

amp7