How do I trigger the session wrap-up process?

You can trigger the skill by typing commands like /wrap, 'session wrap', or asking Claude to 'end the session' or 'document learnings'.

What is the purpose of the multi-agent analysis?

It uses specialized agents in parallel to handle distinct tasks like finding automation opportunities and extracting learnings without missing details.

What documentation does this skill update?

It primarily focuses on updating CLAUDE.md and project context files to ensure new architectural decisions or workflows are preserved.

How does it handle duplicate documentation suggestions?

The skill includes a sequential 'duplicate-checker' agent that validates Phase 1 proposals against existing docs to prevent redundant information.

Does it automatically commit code to my repository?

No, it presents a 'Create commit' option at the end of the analysis, which you can choose to execute or skip based on the suggested message.

Intelligent Session Wrap-Up

Name: Intelligent Session Wrap-Up
Author: micsapp

bymicsapp

0•

生产力与工作流

Streamlines the end of coding sessions by using multi-agent analysis to update documentation, extract learnings, and suggest follow-up tasks.

The Session Wrap skill provides a comprehensive workflow for concluding development sessions within Claude Code. It orchestrates four parallel agents—focused on documentation, automation, learnings, and follow-ups—to analyze your recent work and git history. By utilizing a secondary validation phase to prevent duplicate documentation, this skill ensures your project context remains organized, your CLAUDE.md stays up-to-date, and your next session begins with clear priorities and captured knowledge.

主要功能

01Parallel multi-agent analysis of session changes and decisions

020 GitHub stars

03Learning point extraction for 'Today I Learned' (TIL) style logs

04Automated identification of repetitive patterns for new skill creation

05Smart documentation updates for CLAUDE.md and context files

06Automated Git status and diff summarization

使用场景

01Summarizing a complex feature implementation before committing code

02Generating a prioritized task list for the next development session

03Capturing technical decisions and 'lessons learned' at the end of a workday

主要功能

01Parallel multi-agent analysis of session changes and decisions

020 GitHub stars

03Learning point extraction for 'Today I Learned' (TIL) style logs

04Automated identification of repetitive patterns for new skill creation

05Smart documentation updates for CLAUDE.md and context files

06Automated Git status and diff summarization

使用场景

01Summarizing a complex feature implementation before committing code

02Generating a prioritized task list for the next development session

03Capturing technical decisions and 'lessons learned' at the end of a workday