maintainer-skills-lab
Active·★ 48·MIT·Updated 2026-10-22
Maintainer Skills Lab is a collection of 17 skills and 6 agent profiles designed for various AI coding assistants like Codex, Claude Code, and Grok Bot. It aims to streamline developer workflows by providing tools for tasks such as improving drafts, debugging code, reviewing pull requests, and automating documentation.
#AI Agent Skills#Code Assistant Tooling#LLM Integration#Developer Productivity#Code Review Automation#ML Debugging#Documentation Generation#Writing Assistant
01
Features
01Provides 17 distinct skills and 6 agent profiles for multiple AI coding clients.
02Centralized Markdown source for skills, generating native versions for each client.
03Includes a Humanizer skill for editing drafts while preserving facts and code.
04Offers tools for debugging ML training issues in PyTorch, Lightning, and TensorFlow/Keras.
05Features Skill Watch for catching outdated agent instructions by comparing source documentation with baselines.
02
Compatibility
Codex
AI Client
Verified via docs
Claude Code
AI Client
Verified via docs
Cursor
AI Client
Verified via docs
OpenCode
AI Client
Verified via docs
Grok Bot
AI Client
Verified via docs
Python
Runtime
Verified via docs
03
Quick start
1
$ git clone https://github.com/00200200/maintainer-skills-lab.git
2
$ cd maintainer-skills-lab
3
$ python3 tools/kit.py install --target codex --project YOUR_PROJECT_PATH
04
Use cases
↳Improve writing voice and humanize stiff drafts.
↳Debug code and ML training with reproducible evidence.
↳Review pull requests, dependency updates, and changed reference documentation.
↳Localize content between languages (e.g., Polish and English) while preserving commands and meaning.
↳Generate READMEs and explain project functionality based on repository content.
05
Alternatives
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A containerized Model Context Protocol (MCP) server providing static code analysis using Joern's Code Property Graph (CPG) with support for Java, C/C++, JavaScript, Python, Go, Kotlin, C#, Ghidra, Jimple, PHP, Ruby, and Swift.
kin★ 68
The system of record for AI-written software. A persistent graph of entities, relationships, changes, and provenance, so humans and AI agents see what a change touches before it merges. Beside Git today.
ios-agent-skill★ 40
Swift source, Apple guides and MCP tools for AI coding agents. Review iOS code, scaffold apps, and build/run/preview with Xcode Simulator.
ThreeBrowserStudio★ 24
LLM-first Three.js WebGPU scene and animation authoring with a persistent native viewport and typed MCP editing
pi-code★ 36
Claude Code experience for the pi coding agent: reads your .claude config (rules, commands, skills, hooks, output styles, MCP, agents) and adds todo, checkpoints, memory, web search, and subagents.
sruja★ 24
A CLI-first autonomous coding agent where the actor never grades itself. Every edit is grounded in your repo's real topology and verified by an independent deterministic grader (drift, lint, verify-task, intent) before it ships. Closed-loop: comprehend → plan → execute → critique → replan. Also a passive MCP harness.
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