
This is a proper end-of-session workflow that runs four parallel analysis agents to figure out what you just did and what needs documenting. It checks git status, then spins up agents to analyze documentation updates, spot automation opportunities, extract learnings, and suggest follow-ups. A fifth agent validates everything to catch duplicates. You get an interactive prompt to choose what to commit, update CLAUDE.md, or create new automation. The multi-agent orchestration is honestly overkill for simple sessions, but if you just spent two hours debugging something gnarly and want to capture what you learned before it evaporates, this does the thinking for you.
$ npx -y skills add ai-native-camp/camp-2 --skill session-wrap --agent claude-codeInstalls into .claude/skills of the current project.
Comprehensive session wrap-up workflow with multi-agent analysis.
┌─────────────────────────────────────────────────────┐
│ 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 │
└─────────────────────────────────────────────────────┘
git status --short
git diff --stat HEAD~3 2>/dev/null || git diff --stat
Execute 4 agents in parallel (single message with 4 Task calls).
Session Summary:
- Work: [Main tasks performed in session]
- Files: [Created/modified files]
- Decisions: [Key decisions made]
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 | 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 |
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
"""
)
## 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]
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"}
]
}]
)
Execute only the actions selected by user.
See references/multi-agent-patterns.md for detailed orchestration patterns.
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