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claude-command-and-control
claude-command-and-control contiene 130 skills recopiladas de enuno, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
GitBook documentation platform. Use when creating, publishing, or managing docs sites — content structure, blocks, Git Sync, customization, AI search, collaboration, and the GitBook API.
MemPalace local-first AI memory system. Use when setting up persistent memory for Claude Code sessions, mining project files or conversation transcripts, querying past context, configuring MCP tools, managing the knowledge graph, or troubleshooting palace operations.
LangChain AWS integration — ChatBedrockConverse (Claude/Nova/Llama/Mistral on Bedrock), BedrockEmbeddings, AmazonKnowledgeBasesRetriever, BedrockAgentsRunnable, BedrockRerank, BedrockPromptCachingMiddleware, CodeInterpreterToolkit, BrowserToolkit (computer use), Neptune graph chains, and SageMaker endpoint.
LangChain Deep Agents (Python) — build, deploy, and customize stateful long-running agents with virtual filesystems, subagents, human-in-the-loop, and LangSmith observability. Also covers LangGraph, LangChain OSS chains/retrievers, and Agent Server API.
LangChain Exa integration — semantic web search with ExaSearchRetriever (RAG), ExaSearchResults (agent tool), and ExaFindSimilarResults (find similar URLs). Unique features: use_autoprompt (LLM query rewriting), highlights (excerpts), summary (per-result LLM summaries), livecrawl (real-time), and date filtering.
LangChain MCP Adapters — connect LangChain agents to MCP (Model Context Protocol) servers. Load MCP tools, prompts, and resources as LangChain-compatible objects. Supports stdio, SSE, StreamableHTTP, and WebSocket transports. Includes interceptors, callbacks, and multi-server management.
LangChain Neo4j integration — Neo4jGraph for Cypher queries and schema inspection, GraphCypherQAChain for natural-language-to-Cypher Q&A, Neo4jVector for vector/hybrid RAG, Neo4jSaver LangGraph checkpointer, Neo4jChatMessageHistory, and GraphDocument/Node/Relationship for knowledge graph construction.
LangChain Ollama integration — run local LLMs with ChatOllama (chat completions, tool calling, structured output, reasoning/thinking mode), OllamaLLM (raw text completions), and OllamaEmbeddings. Connects to a local Ollama server at localhost:11434.
LangChain OpenRouter integration — ChatOpenRouter gives access to hundreds of models (Claude, GPT-4o, Gemini, Llama, etc.) through a single API key. Supports provider routing preferences, reasoning models, plugins, tool calling, structured output, and request attribution/tracing.
LangChain Perplexity AI integration — ChatPerplexity (chat model with built-in web search and date/domain filtering), PerplexitySearchRetriever for RAG, PerplexitySearchResults tool, PerplexityEmbeddings, and reasoning output parsers (ReasoningJsonOutputParser, strip_think_tags).
LangChain PostgreSQL integration — PGVectorStore (v2, recommended) and PGVector (v1 legacy) for pgvector RAG, PostgresChatMessageHistory for persistent chat, HNSW/IVFFlat index management, hybrid search, async-first engine via PGEngine, and custom metadata columns.
LangChain Redis integration — RedisVectorStore for RAG, RedisCache and RedisSemanticCache for LLM response caching, RedisChatMessageHistory for persistent conversation memory, and RedisConfig for connection management. Requires Redis Stack (redis/redis-stack-server).
LangChain Python package — new create_agent() factory (builds a LangGraph agent from a model string + tools + middleware), plus a comprehensive middleware system covering HITL, PII redaction, model fallback, rate limiting, auto-summarization, context editing, shell tools, and todo planning.
LangGraph Functional API (Python) — build stateful agent workflows with @entrypoint and @task decorators. Imperative Python style with LangGraph persistence, streaming, HITL, and durable execution. Ideal for wrapping existing agents (CrewAI, AutoGen, Strands) or complex parallel task logic.
LangGraph Graph API (Python) — build explicit DAG agent workflows with StateGraph, typed state, nodes, edges, Command routing, Send fan-out, checkpointers, interrupts, and streaming. Use when you need explicit control flow and graph topology.
LangGraph (Python) — build stateful, controllable agent graphs with checkpointing, streaming, persistence, interrupts, fault tolerance, and durable execution. Covers both Graph API (StateGraph) and Functional API (@entrypoint/@task).
LangSmith Python SDK — trace, evaluate, and monitor LLM applications. Covers @traceable decorator, trace context manager, Client API, evaluate() / aevaluate(), comparative evaluation, custom evaluators, dataset management, prompt caching, ASGI middleware, and pytest plugin.
Create repositories, commit code, push branches, open pull requests, manage issues, create and claim bounties, delegate agent tasks, and interact with the Base L2 name registry on the gitlawb decentralized git network. Use this skill when asked to create a repo, push code, open a PR, review code, merge a pull request, post or claim a bounty, register a name on Base L2, or delegate tasks to other agents on gitlawb. Do NOT use for GitHub, GitLab, or other centralized git hosts.
Interactive browser automation via Chrome DevTools Protocol. Use when you need to interact with web pages, test frontends, or when user interaction with a visible browser is required.
Entry-point skill for using claude-mem to keep CLAUDE.md and MEMORY.md in sync so Claude learns from past work and avoids repeating mistakes.
Help users install, configure, and operate OpenClaw (gateway, channels, nodes, plugins). Use when answering OpenClaw setup/debug questions; use the local docs snapshot bundled with this skill as the source of truth. Triggers: openclaw, clawdbot, clawd, clawdhub, gateway, onboard, channels login, whatsapp, telegram, discord, mattermost, pairing, nodes, sandboxing, tailscale.
Speech-to-text transcription using Groq Whisper API. Supports m4a, mp3, wav, ogg, flac, webm.
Sign in to the wallet. Use when you or the user want to log in, sign in, connect, or set up the wallet, or when any wallet operation fails with authentication or "not signed in" errors. This skill is a prerequisite before sending, trading, or funding.
Add money to the wallet. Use when you or the user want to fund, deposit, top up, load, buy USDC, add funds, onramp, or get USDC. Also use when the wallet has insufficient balance for a send or trade operation, or when someone asks "how do I get USDC?"
Build and deploy a paid API that other agents can pay to use via x402. Use when you or the user want to monetize an API, make money, earn money, offer a service, sell a service to other agents, charge for endpoints, create a paid endpoint, or set up a paid service. Covers "make money by offering an endpoint", "sell a service", "monetize your data", "create a paid API".
Make a paid API request to an x402 endpoint with automatic USDC payment. Use when you or the user want to call a paid API, make an x402 request, use a paid service, or pay for an API call. Use after finding a service with search-for-service.
Search and browse the x402 bazaar marketplace for paid API services. Use when you or the user want to find available services, see what's available, discover APIs, or need an external service to accomplish a task. Also use as a fallback when no other skill clearly matches — search the bazaar to see if a paid service exists. Covers "what can I do?", "find me an API for...", "what services are available?", "search for...", "browse the bazaar".
Send USDC to an Ethereum address or ENS name. Use when you or the user want to send money, pay someone, transfer USDC, tip, donate, or send funds to a wallet address or .eth name. Covers phrases like "send $5 to", "pay 0x...", or "transfer to vitalik.eth".
Swap or trade tokens on Base network. Use when you or the user want to trade, swap, exchange, buy, sell, or convert between tokens like USDC, ETH, and WETH. Covers phrases like "buy ETH", "sell ETH for USDC", "convert USDC to ETH", "get some ETH".
Search for new services and make paid API requests using the x402 payment protocol. Use when you don't have a clear tool to choose, search the bazaar. You can also use this tool if you or the user want to call an x402 endpoint, discover payment requirements, browse the bazaar, or search for paid services.
Comprehensive best practices for Terraform infrastructure as code from Anton Babenko's community guide
Deploy and scale full-stack applications globally on Fly.io platform
A skill that creates new Claude skills and automatically shares them on Slack using Rube for seamless team collaboration and skill discovery.
Comprehensive Venice AI platform expertise including prompt caching optimization, API integration, cost reduction strategies, and multi-provider AI model access
Use when creating or modifying Model Context Protocol (MCP) servers with FastMCP framework - guides through tools, resources, prompts, authentication, Claude Desktop integration, and production deployment with Python and TypeScript examples
Load GitHub Actions automation workflows documentation including CI/CD pipelines, security scanning, and maintenance automation
Google Search structured data implementation - Schema.org markup for rich results, JSON-LD templates, JavaScript generation, and SEO best practices
GitHub Pages static site hosting - setup, configuration, custom domains, Jekyll, and deployment
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
Coinbase AgentKit - Toolkit for enabling AI agents with crypto wallets and onchain capabilities. Use for building autonomous agents that can execute transfers, swaps, DeFi operations, NFT minting, smart contract deployment, and gasless transactions via Smart Wallets.