ai-tuning
Optimize AI assistant configurations for maximum effectiveness. USE THIS SKILL when user says "improve CLAUDE.md", "better copilot instructions", "tune AI", "optimize prompts", "MCP configuration", or wants to enhance AI assistant behavior. See .github/instructions/ai-tuning.instructions.md for standards.
npx skills add majiayu000/claude-skill-registry --skill ai-tuning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AI Tuning Skill ## Purpose Optimize AI assistant configurations for maximum effectiveness, including CLAUDE.md, copilot-instructions.md, and MCP server setup. ## Standards Reference **Complete standards**: See `.github/instructions/ai-tuning.instructions.md` ## Triggers - "improve my CLAUDE.md" - "better copilot instructions" - "tune AI for this project" - "add MCP servers" - "optimize AI prompts" ## Usage Provide your existing AI configuration files or describe your project, and this skill will generate optimized CLAUDE.md, copilot-instructions.md, and MCP configurations following best practices defined in the instructions file.
- Purpose
- Standards Reference
- Triggers
- Usage
What does the ai-tuning skill do?
Optimize AI assistant configurations for maximum effectiveness. USE THIS SKILL when user says "improve CLAUDE.md", "better copilot instructions", "tune AI", "optimize prompts", "MCP configuration", or wants to enhance AI assistant behavior. See .github/instructions/ai-tuning.instructions.md for standards.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ai-tuning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
