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Found 160 Skills
This skill should be used when configuring Claude, setting up MCP servers, or when "settings.json", "claude_desktop_config", "MCP server", or "Claude config" are mentioned.
Reviews Claude configuration files for security, structure, and prompt engineering quality. Use when reviewing changes to CLAUDE.md files (project-level or .claude/), skills (SKILL.md), agents, prompts, commands, or settings. Validates YAML frontmatter, progressive disclosure patterns, token efficiency, and security best practices. Detects critical issues like committed settings.local.json, hardcoded secrets, malformed YAML, broken file references, oversized skill files, and insecure agent tool access.
Deploys the complete SDD architecture with engram persistence and ai-context/ memory layer in the current project. Trigger: /project-setup, initialize new project, setup SDD, configure claude project.
Exports the project's Claude configuration (CLAUDE.md + ai-context/) to tool-specific instruction files for GitHub Copilot, Google Gemini, and Cursor. Trigger: /config-export, export config, copilot instructions, gemini config, cursor rules.
Claude Code config optimization skill. Use when: - Editing CLAUDE.md, rules/, skills/, agents/, commands/ - User asks about config best practices - Checking optimization status - User says "claude code changelog" or "claude code updates" - User asks about new features or breaking changes in Claude Code
Simplify and refine recently modified code for clarity and consistency. Use after writing code to improve readability without changing functionality.
Run accessibility and visual design review on components. Use when reviewing UI code for WCAG compliance and design issues.
Refactor CLAUDE.md files to follow progressive disclosure principles. Use when CLAUDE.md is too long or disorganized.
Remove AI-generated code slop from the current branch. Use after writing code to clean up unnecessary comments, defensive checks, and inconsistent style.
Run knip to find and remove unused files, dependencies, and exports. Use for cleaning up dead code and unused dependencies.
Export .pen design to React/Tailwind code. Does ONE thing well. Input: .pen frame ID or file path Output: React component code + Tailwind config Use when: design-exploration or user needs implementation code from a finalized Pencil design.
LLM gateway and routing configuration using OpenRouter and LiteLLM. Invoke when: - Setting up multi-model access (OpenRouter, LiteLLM) - Configuring model fallbacks and reliability - Implementing cost-based or latency-based routing - A/B testing different models - Self-hosting an LLM proxy Keywords: openrouter, litellm, llm gateway, model routing, fallback, A/B testing