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Found 13 Skills
Expert guidance for Anthropic Claude API development including Messages API, tool use, prompt engineering, and building production applications with Claude models.
Comprehensive skill for Evolution API - open-source WhatsApp integration platform with multi-service chatbot and automation support
Comprehensive skill for Microsoft GraphRAG - modular graph-based RAG system for reasoning over private datasets
Extract structured information from unstructured text using LLMs with source grounding. Use when extracting entities from documents, medical notes, clinical reports, or any text requiring precise, traceable extraction. Supports Gemini, OpenAI, and local models (Ollama). Includes visualization and long document processing.
Comprehensive skill for Graphiti and Zep - temporal knowledge graph framework for AI agents with dynamic context engineering
Build LLM applications using Dify's visual workflow platform. Use when creating AI chatbots, implementing RAG pipelines, developing agents with tools, managing knowledge bases, deploying LLM apps, or building workflows with drag-and-drop. Supports hundreds of LLMs, Docker/Kubernetes deployment.
Comprehensive skill for building, deploying, and managing multi-agent AI systems with Agno framework
Anthropic's Contextual Retrieval technique for improved RAG. Use when chunks lose context during retrieval, implementing hybrid BM25+vector search, or reducing retrieval failures.
Quality gate for skill development and sharing. Validates naming, description quality, and structure. Before sharing, scans for PII/secrets. Triggers on 'check this skill', 'validate skill', 'can I share this', 'scan for sharing'. Complements skill-creator (process) with validation (requirements). (user)
Add Anthropic Claude models (Opus, Sonnet, Haiku) to Microsoft Teams.ai applications using @youdotcom-oss/teams-anthropic. Optionally integrate You.com MCP server for web search and content extraction. - MANDATORY TRIGGERS: teams-anthropic, @youdotcom-oss/teams-anthropic, Microsoft Teams.ai, Teams AI, Anthropic Claude, Teams MCP, Teams bot - Use when: building Microsoft Teams bots with Claude, integrating Anthropic with Teams.ai, adding MCP tools to Teams applications
Meta-skill for improving and optimizing prompts using Anthropic's prompt engineering best practices. Provides the 4-step improvement workflow (example identification, initial draft, chain of thought refinement, example enhancement), keyword registries for documentation lookup, and decision trees for improvement strategies. Use when improving prompts, optimizing for accuracy, adding chain of thought reasoning, structuring with XML tags, enhancing examples, or iterating on prompt quality. Delegates to docs-management skill for official prompt engineering documentation.
[Hyper] Use when the user explicitly wants Anthropic Claude Code CLI (`claude`) for an isolated session, non-interactive (`-p`) run, session resume by ID or name, or a CI-friendly `--bare` invocation. Trigger phrases: "use claude code", "ask claude", "run claude", "continue the last claude session", "resume the auth-refactor claude session", or "use Anthropic's CLI to inspect or fix this repo".