Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
This collection provides a framework for developing AI skills by studying successful and failed case studies. It emphasizes learning through practical application and the distillation of effective patterns rather than theoretical study.
Developers can use these tools to identify high-quality GitHub projects and search trusted marketplaces, transforming observed technical successes into structured skills for AI agents.
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
Follow the documented setup, then try a first task.
Setup
Clone directly for Claude Code
Installs: skill-from-masters skill · Claude Code
Before you start
skill-creator must be available in the environment
Run from: ~/.claude/skills
In a terminal, navigate to the Claude Code skills directory and clone the skill repository using the documented command block.
# Navigate to your skills directory
cd ~/.claude/skills # Claude Code
# or your platform's skills path
# Clone this skill
git clone https://github.com/anthropics/skill-from-masters.git
Before using the installed skill, ensure skill-creator is available in the environment.
Use skill-from-masters to help me create a skill for [SPECIFIC_TASK] in [SCENARIO], subject to [CONSTRAINTS]. First narrow the task, then find 3–5 real high-performing examples, at least five common failure patterns, and a direct effective-versus-ineffective comparison. Present the findings and stop before generating the skill so I can choose what to carry forward.
Preferred language, framework, or other constraints
Make sure skill-from-github is installed in your agent before trying this task.
Use skill-from-github to find 3–5 high-quality GitHub projects that address [TASK]. Account for my preferred language or framework, [PREFERENCE]. Apply the documented quality filters, briefly explain each candidate's strength, and stop for my selection before doing a deep dive.
Extract an actionable methodology from a local document
Uses skill-from-notebook
A local PDF, Word, or Markdown file path such as [LOCAL_FILE_PATH]
The intended task or output, if it is not clear from the file
Make sure skill-from-notebook is installed in your agent before trying this task.
Use skill-from-notebook on the local file [LOCAL_FILE_PATH]. Determine whether it is a methodology document or a finished example, then produce a concise actionable-methodology outline with its structure, quality criteria, production steps, checklist, and source attribution. Stop before creating the final reusable skill so I can review the extraction.
Claude
Codex
OpenClaw