finish

Remove temporary console logs, instrumentation, and legacy code from codebases.

2|Updated Dec 22, 2025
One-click install
npx skills add https://github.com/TMI-apps/boilerplate-vite-supabase-mui-cursor --skill finish-tmi-apps
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: finish
Source: https://github.com/TMI-apps/boilerplate-vite-supabase-mui-cursor/tree/main/.cursor/skills/finish
Command: npx skills add https://github.com/TMI-apps/boilerplate-vite-supabase-mui-cursor --skill finish-tmi-apps

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Clean up codebases after feature completion by removing temporary logs, instrumentation, and redundant legacy code to reduce noise and risk.

Core Features & Use Cases

  • Remove temporary console logs and debugging instrumentation to improve readability and performance.
  • Eliminate redundant or legacy code paths to reduce technical debt and surface area.
  • Enforce release-readiness by ensuring versioning and changelog updates, and proper staging checks as part of the finish workflow.

Quick Start

Execute the finish skill to prune temporary logs, remove instrumentation, and delete legacy code to ready the project for release.

Frequently Asked Questions about finish

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

FAQPage Schema
How do I remove temporary console logs and debugging instrumentation before a release?

Automating code cleanup removes temporary console logs and debugging instrumentation during finalization to ensure a clean, maintainable codebase. This process eliminates debugging noise and redundant legacy paths before release readiness checks.

What is the best way to ensure release readiness with version updates and changelog maintenance?

Enforcing release readiness involves applying version updates and changelog maintenance within your finalization workflow. This ensures the project satisfies functional requirements and passes staging checks before deployment.

How do I clean up legacy code paths and temporary instrumentation after feature completion?

Cleaning up legacy code paths after feature completion involves pruning temporary logs and deleting redundant code. This reduces technical debt and the project's surface area for better maintainability.

Does the code cleanup workflow support versioning and staging checks for release finalization?

Yes, the cleanup workflow supports release finalization by satisfying functional requirements for versioning and staging checks. It ensures all temporary instrumentation is removed before the final version update.

Why should I automate code cleanup instead of manually removing debug logs?

Automating code cleanup prevents human error when removing debug logs and legacy code. It enforces consistent release readiness by systematically applying versioning and changelog updates across the project workflow.