Claude Marketplaces
SkillsMCP serversMarketplacesDigestTools
Submit

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP servers by category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control
Claude Marketplaces

An independent directory of skills, plugins and MCP servers for Claude Code. Not affiliated with Anthropic.

Browse

  • Skills
  • MCP servers
  • Marketplaces
  • Weekly digest
  • Skill index
  • MCP index
  • Marketplace index

Site

  • About
  • Tools
  • Submit
  • Feedback
  • Privacy
  • llms.txt
  • Plugins reference

Maker

  • Snug
  • Agent Caffeine
  • knobs
  • Wax
  • Vectoys
  • mertduzgun.com
Crafted at
Skills/Git & Pull Requests
ai-native-camp avatar

Session Wrap

ai-native-camp/camp-2

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.

installs
1.3K
GitHub stars
19
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add ai-native-camp/camp-2 --skill session-wrap --agent claude-code

Installs into .claude/skills of the current project.

Files

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

AgentRoleOutput
doc-updaterAnalyze CLAUDE.md/context.md updatesSpecific content to add
automation-scoutDetect automation patternsskill/command/agent suggestions
learning-extractorExtract learning pointsTIL format summary
followup-suggesterSuggest follow-up tasksPrioritized 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.

Sponsors

SnugThe clipboard manager you and your agent can use, safelyAgent CaffeineClose your lid, come back to finished workWaxBlock anything with supervision, without erasing your iPhoneOpen StepsSponsoredFree and open-source skills that make AI coding agents easier to understand, verify, and control.

Details

Repository
github.com/ai-native-camp/camp-2
Categories
Git & Pull Requests, AI & Agent Building
First seen
Apr 16, 2026

More from ai-native-camp/camp-2

All 12
  • History Insight1.3K
  • Fetch Tweet1.3K
  • Content Digest1.3K
  • Session Analyzer1.3K
  • Team Assemble1.3K
  • Compound1.3K
  • Day1 Onboarding1.6K
  • Day3 Clarify1.5K
  • Day2 Mcp And Context Sync1.5K
  • Day4 Wrap And Analyze1.5K
  • Day1 Test Skill1.5K

Recommended

More Git & Pull Requests
1kostja94 avatargenerative-engine-optimizationkostja94/marketing-skillsWhen the user wants to optimize for AI search visibility (ChatGPT, Claude, Perplexity, AI Overviews). Also use when the user mentions "GEO," "AEO," "generative 1.3Kinstalls
2fleurytian avatarmckinsey-consultantfleurytian/awesome-claude-skillsMcKinsey顾问式问题解决系统。从商业问题出发,通过假设驱动的结构化分析方法,生成McKinsey风格研究报告和PPT。融合Problem Solving方法论、MECE原则、Issue Tree拆解、Hypotheses形成、Dummy Page设计、智能数据收集和专业PPT生成能力。1.3Kinstalls
3ai-native-camp avatarday6-prd-submitai-native-camp/camp-1PRD 초안을 작성하고 형식을 검증한 뒤 GitHub PR 제출을 안내한다. "PRD 작성", "PRD 검증", "Day 6", "6일차", "PR 제출", "prd submit" 요청에 사용.1.3Kinstalls
4nexscope-ai avatarmarket-gap-analysisnexscope-ai/ecommerce-skillsIdentify underserved market gaps and unmet customer needs in e-commerce. Analyzes competitor blind spots, review pain points, search demand without adequate sup1.3Kinstalls
5charleswiltgen avataraxiom-buildcharleswiltgen/axiomUse when ANY iOS build fails, test crashes, Xcode misbehaves, or environment issue occurs before debugging code. Covers build failures, compilation errors, depe1.3Kinstalls
6aj-geddes avatarmarkdown-documentationaj-geddes/useful-ai-promptsMaster markdown formatting, GitHub Flavored Markdown, README files, and documentation formatting. Use when writing markdown docs, READMEs, or formatting documen1.3Kinstalls