cloudflare-workers-edge-ai-development
Build ultra-low-latency edge computing applications with Cloudflare Workers, Workers AI for LLM inference, V8 isolates, Durable Objects, and serverless patterns deployed across 330+ data centers worldwide
final-approach
Final Approach - the landing sequence. Runs Go Poll with review agents (mission-control, telemetry, flight-director) using Haiku model. Supports A+ skip rule for efficient re-reviews.
review-suno-song
This skill should be used when the user asks to "review my Suno song", "check Suno prompt quality", "evaluate song lyrics", "review this prompt", "check for AI-slop", "validate my Suno prompt", or wants independent quality assessment of Suno prompts and lyrics. Launches the quality-reviewer sub-agent to evaluate material against professional production standards including AI-slop detection, cliché detection, poor quality lines, rhyme assessment, style-lyric consistency, gender-pronoun consistency, and general taste.
mcp-development
Model Context Protocol (MCP) server development and AI/ML integration patterns. Covers MCP server implementation, tool design, resource handling, and LLM integration best practices. Use when developing MCP servers, creating AI tools, integrating with LLMs, or when asking about MCP protocol, prompt engineering, or AI system architecture.
research-web
Deep web research with parallel investigators, multi-wave exploration, and structured synthesis. Spawns multiple web-researcher agents to explore different facets of a topic simultaneously, launches additional waves when gaps are identified, then synthesizes findings. Use when asked to research, investigate, compare options, find best practices, or gather comprehensive information from the web.\n\nThoroughness: quick for factual lookups | medium for focused topics | thorough for comparisons/evaluations (waves continue while critical gaps remain) | very-thorough for comprehensive research (waves continue until satisficed). Auto-selects if not specified.
link-langchain
快速在新 Next.js 项目中集成 LangGraph 后端（localhost:2024），创建极简的 /chat 页面，支持真正的流式 AI 对话。适用于需要快速搭建聊天界面的场景：1) 集成 LangGraph Studio 本地部署的后端，2) 创建支持实时流式响应的聊天页面，3) 使用 LangGraph SDK 进行客户端直接连接，4) 实现优雅的 UI 交互（避免双气泡、流畅的加载动画）。
create-skill
Create, update, validate, and canonicalize Claude Code skills. USE WHEN user wants to create a new skill OR modify an existing skill OR validate skill structure OR fix skill format OR migrate legacy skills.
fabric
Native Fabric pattern execution for Claude Code. USE WHEN processing content with Fabric patterns (extract_wisdom, summarize, analyze_claims, threat modeling, etc.). Patterns run natively in Claude's context - no CLI spawning needed. Only use fabric CLI for YouTube transcripts (-y) or pattern updates (-U).
ai-agent-upskilling
Comprehensive L&D framework for upskilling DevOps/IaC/Automation teams to become AI Agent Engineers. Covers LLM literacy, RAG, agent frameworks, multi-agent systems, and LLMOps. Designed to help traditional automation teams compete with OpenAI and Anthropic.
swarm-orchestrator
Deploys a multi-agent swarm (Researcher, Reviewer, Safety Officer) to solve complex biomedical or research tasks in parallel.
plan-and-solve-agent
Breaks down complex queries into a step-by-step plan before execution, improving performance on multi-hop reasoning tasks.
smithers-orchestrator
Create and monitor multi-agent AI orchestrations using Smithers framework. Use when user wants to coordinate multiple AI agents, create complex workflows, build agent pipelines, or mentions "smithers", "multi-agent", "orchestration", "workflow", "agent coordination". Strongly recommends plan mode for orchestrations with 3+ phases.
apply-prompt-feedback
Applies user feedback to prompts with precision - incorporates feedback intent without over-fitting, maintains information density, prevents regressions. Use when asked to apply feedback, incorporate suggestions, or update a prompt based on user input.
claude-skills-reference
Document for build custom skill for claude code, with full Reference and Example Codes.
mcp-builder
Build Model Context Protocol (MCP) servers to extend GitHub Copilot and AI agents with custom tools and data sources
skill-authoring
Create and maintain Claude Code skills following Anthropic best practices. Use when building new skills, refactoring existing ones, or ensuring skills follow official guidelines for structure, naming, progressive disclosure, and testing.
subagent-maintenance
Subagent（{{AGENT_CONFIG_DIR}}/agents/*.md）の作成・更新・削除を対話で行い、フロントマター仕様と品質を維持したまま反映する。Subagent作成、agent追加、subagent updateを依頼されたときに使用する。
