session-wrap

Analyze completed coding sessions and generate commit messages with Git.

18|15|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/ai-native-camp/camp-2 --skill session-wrap-ai-native-camp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: session-wrap
Source: https://github.com/ai-native-camp/camp-2/tree/main/.claude/skills/session-wrap
Command: npx skills add https://github.com/ai-native-camp/camp-2 --skill session-wrap-ai-native-camp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the process of summarizing your coding session, identifying key learnings, suggesting follow-up tasks, and preparing commit messages, ensuring that valuable work and insights are not lost.

Core Features & Use Cases

  • Automated Session Summary: Generates a comprehensive summary of the work done during a session.
  • Learning Extraction: Identifies and documents key learnings, mistakes, and new discoveries.
  • Actionable Follow-ups: Suggests incomplete tasks and priorities for the next session.
  • Commit Preparation: Helps create meaningful commit messages based on session activity.
  • Use Case: After a productive coding session where you've implemented a new feature and refactored some code, use this Skill to automatically generate a commit message, document the new learnings about the codebase, and list any remaining tasks for the next day.

Quick Start

Run the session-wrap skill to document your completed work and prepare for your next steps.

Frequently Asked Questions about session-wrap

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically generate a commit message from my recent code changes?

To automatically generate a commit message from recent code changes, this Skill orchestrates parallel analysis agents to review Git diffs and session activity, producing actionable commit messages and documentation updates.

What is the best way to extract learnings and document mistakes after a coding session?

The best way to extract learnings after a coding session is to use an automated workflow that analyzes completed work, identifies key discoveries, and documents mistakes to ensure valuable insights are not lost.

Can I use this session summary tool to suggest follow-up tasks for my next coding session?

Yes, you can use this session summary tool to suggest follow-up tasks. It includes a dedicated followup-suggester agent that identifies incomplete tasks and priorities for your next session.

How does the session wrap process check for duplicate follow-up tasks or documentation?

The session wrap process checks for duplicates using a sequential validation agent called the duplicate-checker, which runs after parallel analysis agents to ensure your generated insights and tasks are unique.

Does this automated documentation tool integrate directly with Git status and diffs?

Yes, this automated documentation tool integrates directly with Git status and diffs. It checks repository changes to accurately prepare commit messages and document learnings based on actual code activity.

What follow-up actions can I take after generating a session summary and learnings?

After generating a session summary, you can take follow-up actions such as committing changes directly or updating documentation based on the actionable insights and options provided by the workflow.