Learn-skills.dev session-wrap
This skill should be used when the user asks to "wrap up session", "end session", "session wrap", "/wrap", "document learnings", "what should I commit", or wants to analyze completed work before ending a coding session.
install
source · Clone the upstream repo
git clone https://github.com/NeverSight/learn-skills.dev
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/NeverSight/learn-skills.dev "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/skills-md/ai-native-camp/camp-2/session-wrap" ~/.claude/skills/neversight-learn-skills-dev-session-wrap && rm -rf "$T"
manifest:
data/skills-md/ai-native-camp/camp-2/session-wrap/SKILL.mdsource content
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.