squeaky-clean

Community

Automate post-session cleanup and verification.

Authormbriggsy
Version1.0.0
Installs0

System Documentation

What problem does it solve?

End-of-session cleanup ensures the workspace is returned to a known, validated state by executing a fixed, ordered checklist: update artifacts, run typechecks, verify Git status, clean temporary files, commit, and push. It prevents drift between sessions and guarantees a reproducible end state.

Core Features & Use Cases

  • Update TODO.md when present to reflect reality: current state, next steps, landmines with exact prescriptions.
  • Run Typechecks using the project's configured tool (e.g., pnpm typecheck, tsc, mypy) and halt on failures.
  • Verify Git Status to ensure only expected files are changed and no credentials or large binaries are committed.
  • Clean Temp Files by removing contents of temp/ and related artifacts while preserving the directories.
  • Check for Doc Drift by scanning markdown changes for consistency with the current state.
  • Commit changes with descriptive messages and enforce repository conventions.
  • Push changes to origin and perform a final verification.

Quick Start

Execute the squeaky-clean skill from the project root to run the cleanup checklist, performing typechecks, git status verification, temp cleanup, commits, and pushes.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: squeaky-clean
Download link: https://github.com/mbriggsy/ai-learning-journey/archive/main.zip#squeaky-clean

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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