finalize

    by Alex Shi

    2

    The ultimate pre-commit checklist agent for cleaning code, updating docs, and validating repository state.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    I'm done with the auth middleware. Can you clean up my debug logs, check the git status, update the README for the new env vars, and run the tests before I commit?

    Your agent does

    Finalization summary

    Cleaned up

    • Removed .pytest_cache and debug.log

    Documentation updated

    • Updated README.md with new ENV variables.

    Validation run

    • npm test: passed

    Suggested commit message

    feat(api): add auth middleware and update docs

    What you get

    Remove debug statements and temporary logs before committing codeAutomatically update README.md based on recent architectural changesDetect and warn about hardcoded paths or potential secrets in the diffRun the correct project-specific test suite to ensure zero regressions

    About this skill

    What it does

    The Finalize skill acts as an automated quality assurance engineer for your repository. It systematically scans your working directory to clean up temporary artifacts, detect debug leftovers (like console logs or hardcoded paths), update relevant documentation, and run the project's native validation suites (tests, linters, type-checkers). It ensures that every commit or handoff is professional, clean, and stable.

    Why use this skill

    Modern development involves a lot of "clutter"—temporary logs, scratch files, and outdated READMEs. Manually checking for these is tedious and error-prone. This skill is better than simple prompting because it follows a rigorous multi-step workflow: it inventories the repo state, classifies files to prevent accidental deletion, searches for sensitive leaks, and inferentially determines the correct test commands based on your project's specific configuration files (like package.json, Cargo.toml, or Makefiles).

    Supported tools

    • Version Control: Deep Git integration for status and diff analysis.
    • Languages/Frameworks: Node.js, Python, Go, Rust, Java, Kotlin, Ruby.
    • Environment: Works with standard task runners (Make, Just) and package managers (npm, pip, cargo, maven).

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 3 months ago

    Listed3 months ago

    Creator

    Alex Shi

    Alex Shi

    Frequently Asked Questions

    Popular in Testing & QA