fix-papercuts

Categorize and resolve open repository issues with Python scripts.

Updated Feb 18, 2026

Search Tags:#code quality #issue tracking #triage #issue resolution #repository cleanup

Ready to run

npx skills add https://github.com/tcole333/ithildin --skill fix-papercuts

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fix-papercuts
Source: https://github.com/tcole333/ithildin/tree/main/.codex/skills/fix-papercuts
Command: npx skills add https://github.com/tcole333/ithildin --skill fix-papercuts

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, uv, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of organizing and resolving accumulated issues within a repository, streamlining the process of triage, resolution, and cleanup.

Core Features & Use Cases

Triage Issues: Automatically process open issues and categorize them based on type.
Resolve Issues: Execute fixes and improvements based on predefined criteria.
Promote Larger Work: Create and link infrastructure requests for broader issues.
Report Outcomes: Provide a detailed report of actions taken and results achieved.
Use Case: When faced with a repository filled with papercuts and small issues, this Skill can be used to clean up the repository and improve its maintainability.

Quick Start

Run the fix-papercuts skill with no arguments to start the cleanup process for the oldest open issues.

Frequently Asked Questions about fix-papercuts

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

FAQPage Schema

How do I automatically triage and resolve open issues in a code repository?▼

Automatically triaging and resolving open repository issues involves categorizing them by type and executing predefined fixes. This skill processes accumulated issues, handles friction gaps by applying fixes, and consolidates duplicates to streamline repository cleanup.

What is the best way to clean up small repository issues and improve maintainability?▼

Cleaning up small repository issues and improving maintainability is achieved by categorizing open issues, executing immediate fixes for friction points, and promoting larger infrastructure requests. This approach systematically eliminates accumulated repository papercuts while providing a detailed outcome report.

Do I need Python and uv to run automated issue resolution scripts?▼

Python and uv are required dependencies to run these automated issue resolution scripts. The skill relies on Python scripts and uv to execute repository cleanup commands and interact with repository tracking tools for issue categorization and resolution.

How does issue triage handle larger infrastructure work versus small fixes?▼

Issue triage handles larger infrastructure work by promoting it into linked infrastructure requests instead of applying direct fixes. Small friction and process gap issues are resolved immediately by executing predefined fixes, separating routine cleanup from broader architectural improvements.

Can I consolidate duplicate issues automatically during repository cleanup?▼

Duplicate issues are consolidated automatically during repository cleanup by the triage process. The skill identifies overlapping open issues, merges them to reduce clutter, and documents the consolidation actions within a detailed report of the results achieved.