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Complete knowledge domain for Cloudflare Workers AI - Run AI models on serverless GPUs across Cloudflare's global network. Use when: implementing AI inference on Workers, running LLM models, generating text/images with AI, configuring Workers AI bindings, implementing AI streaming, using AI Gateway, integrating with embeddings/RAG systems, or encountering "AI_ERROR", rate limit errors, model not f

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Chief Security Officer mode. Infrastructure-first security audit: secrets archaeology, dependency supply chain, CI/CD pipeline security, LLM/AI security, skill supply chain scanning, plus OWASP Top 10, STRIDE threat modeling, and active verification. Two modes: daily (zero-noise, 8/10 confidence gate) and comprehensive (monthly deep scan, 2/10 bar). Trend tracking across audit runs. Use when: "sec

Review and optimize the MeMesh memory database. Analyzes health score, finds stale/conflicting/redundant memories, shows work patterns, and suggests cleanup actions. Use when asked to "review memories", "check memory health", "clean up knowledge", or "what's in my memory".

Astro Starlight documentation theme — setup, sidebar config, Pagefind search, dark/light mode, plugins (DocSearch, blog, openapi, typedoc, versions), multi-language, Content Layer API, llms.txt, customization. Use for building documentation sites.

Use this skill when building MCP (Model Context Protocol) servers with FastMCP in Python. FastMCP is a framework for creating servers that expose tools, resources, and prompts to LLMs like Claude. The skill covers server creation, tool/resource definitions, storage backends (memory/disk/Redis/DynamoDB), server lifespans, middleware system (8 built-in types), server composition (import/mount), OAut

Optimize prompts for LLMs and AI systems with structured techniques, evaluation patterns, and synthetic test data generation. Use when building AI features, improving agent performance, or crafting system prompts.

Domain-agnostic TrueSkill batch ranking via LLM-as-judge. Ranks any list of text items using overlapping subsets dispatched to Codex Spark workers. Swappable rubrics. Use when you need to rank, score, curate, or sort a collection by quality.

Use when optimizing for AI search engines (Generative Engine Optimization 2026). Covers Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, Copilot, LLM-readiness scoring 0-100, llms.txt.

Use when transforming existing code into agent-consumable surfaces — CLI (npm-publishable), MCP server (stdio/SSE/Streamable HTTP), and a companion skill. Triggers on 'agentize', 'henshin', 'expose as MCP', 'wrap as CLI', 'publish to npm', 'make LLM-accessible', 'turn into agent tool', 'expose feature as tool'. Runs when the user has existing code and wants to ship it to agents. NOT for building n

Experimental working-model protocol shipped with memesh v4.1. Status — protocol present + instrumented; effectiveness in real usage is being collected (see `memesh patterns`), not yet proven. Suggests a user-as-CTO / Claude-as-orchestrator / background-agents-as-engineers split. Claude routes work by verifiability, dispatches parallel background agents for high-verifiability technical work, and st

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).