Поиск skills
Найдите подходящую возможность для вашего агента.
domain-expert
Meta-skill for rapidly learning new domains. Covers domain research process, expert consultation simulation, knowledge validation, and documentation generation.
fabric-improve-prompt
Improve LLM prompts using prompt engineering best practices. Invoke when user wants to optimize prompts, improve slash commands, or apply prompt engineering.
aws-sagemaker
Amazon SageMaker for building, training, and deploying machine learning models. Use for SageMaker AI endpoints, model training, inference, MLOps, and AWS machine learning services.
gemini-3-advanced
Advanced Gemini 3 Pro features including function calling, built-in tools (Google Search, Code Execution, File Search, URL Context), structured outputs, thought signatures, context caching, batch processing, and framework integration. Use when implementing tools, function calling, structured JSON output, context caching, batch API, LangChain, Vercel AI, or production features.
manufacturingdemo
Demo manufacturing knowledge base for Taylored Systems. Shows how tribal knowledge gets captured and made queryable. USE WHEN demonstrating to potential clients or answering manufacturing process questions.
a2a-patterns
Agent-to-Agent (A2A) protocol implementation patterns for Google ADK - exposing agents via A2A, consuming external agents, multi-agent communication, and protocol configuration. Use when building multi-agent systems, implementing A2A protocol, exposing agents as services, consuming remote agents, configuring agent cards, or when user mentions A2A, agent-to-agent, multi-agent collaboration, remote agents, or agent orchestration.
skill-creator-enhanced
Enhanced guide for creating effective skills with automatic packaging workflow. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Automatically offers to package and provide download links for immediate installation.
validating-openai-api-implementations
Use when reviewing OpenAI API usage, answering questions about OpenAI endpoints, or validating implementations against the official API specification. Provides expert knowledge on chat completions, embeddings, models, audio, assistants, batch processing, and moderations endpoints. Essential for code reviews involving OpenAI integrations and determining if features/parameters are part of the official API.
rag-implementation
RAG (Retrieval Augmented Generation) implementation patterns including document chunking, embedding generation, vector database integration, semantic search, and RAG pipelines. Use when building RAG systems, implementing semantic search, creating knowledge bases, or when user mentions RAG, embeddings, vector database, retrieval, document chunking, or knowledge retrieval.
example-skill
Describe when this skill should be invoked. Include trigger keywords, file patterns, and explicit use cases. The more specific, the better Claude can determine when to load this skill.
ai-collaboration-modes
Select appropriate human-AI collaboration modes: Automation (AI acts independently), Augmentation (AI assists human work), or Agency (AI takes delegated responsibility).
memory
PMC memory system for persistent context across sessions. Store, search, and retrieve project knowledge using semantic vector search (OpenAI embeddings) and full-text keyword search. Use when: storing important context, searching for past solutions, retrieving project-specific knowledge, or building up institutional memory.
agent-browser
Automate headless browser interactions using agent-browser CLI. Use when scraping web pages, automating form submissions, testing web apps, or performing browser automation tasks. Works with element refs (@e1, @e2) optimized for AI agent reasoning.
ai-safety-planning
Plan AI safety measures including alignment, guardrails, red teaming, and regulatory compliance (EU AI Act, NIST AI RMF).
topic-synthesis
Synthesize claims across multiple sources to identify consensus, disagreements, and emerging narratives on AI research topics. Use when you have claims from both lab researchers and critics on the same topic and need to understand where they agree, disagree, and what the overall hype level is.
