session-wrap

ai-native-camp/camp-2 · updated Apr 8, 2026

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

Comprehensive session wrap-up workflow with multi-agent analysis.

skill.md

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.

how to use session-wrap

How to use session-wrap on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add session-wrap
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

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

The skills CLI fetches session-wrap from GitHub repository ai-native-camp/camp-2 and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/session-wrap

Reload or restart Cursor to activate session-wrap. Access the skill through slash commands (e.g., /session-wrap) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.634 reviews
  • Zaid Mehta· Dec 16, 2024

    We added session-wrap from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Chinedu Martinez· Dec 4, 2024

    Useful defaults in session-wrap — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hassan Wang· Nov 23, 2024

    I recommend session-wrap for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Ira Brown· Nov 7, 2024

    Keeps context tight: session-wrap is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Ishan Tandon· Oct 26, 2024

    session-wrap has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Benjamin Taylor· Oct 14, 2024

    session-wrap reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hassan Abbas· Sep 25, 2024

    I recommend session-wrap for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Oshnikdeep· Sep 21, 2024

    Keeps context tight: session-wrap is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Piyush G· Sep 17, 2024

    session-wrap fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Hassan Li· Aug 16, 2024

    session-wrap reduced setup friction for our internal harness; good balance of opinion and flexibility.

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