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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.

Transaction-verified trading signals on Base. Register agent as signal provider, publish trades with TX hash proof, consume signals from top performers via REST API. All track records verified against blockchain data. No fake performance claims. Triggers on: "publish signal", "post trade signal", "register provider", "subscribe to signals", "copy trade", "bankr signals", "signal feed", "trading leaderboard", "read signals", "get top traders".

Donate to charities onchain via Endaoment. Use when the user wants to donate crypto to charity, make a charitable contribution, give to nonprofits, support a cause, or donate to a 501(c)(3). Supports Base, Ethereum, and Optimism. Handles USDC donations directly or swaps ETH/tokens to USDC automatically.

Set your primary ENS name on Base and other L2s. Use when user wants to set their ENS name, configure reverse resolution, set primary name, or make their address resolve to an ENS name. Supports Base, Arbitrum, Optimism, and Ethereum mainnet.

Interact with Hydrex liquidity pools on Base. Use when the user wants to lock HYDX for voting power, check voting power for gauge voting, vote on liquidity pool strategies, view pool information, check voting weights, participate in Hydrex governance, deposit single-sided liquidity into auto-managed vaults to earn Hydrex yields, claim oHYDX rewards from incentive campaigns, or exercise oHYDX into veHYDX. Uses Bankr for transaction execution.

Build onchain applications with React components and TypeScript utilities from Coinbase's OnchainKit. Use when users want to create crypto wallets, swap tokens, mint NFTs, build payments, display blockchain identities, or develop any onchain app functionality. Supports wallet connection, transaction building, token operations, identity management, and complete onchain app development workflows.

Privacy and shielded transactions on Base via Veil Cash (veil.cash). Deposit ETH or USDC into private pools, withdraw/transfer privately using ZK proofs. Manage Veil keypairs, check private/queue balances across all pools, and submit deposits via Bankr. Use when the user wants anonymous or private transactions, shielded transfers, or ZK-based privacy on Base.

Use when placing any post-only limit order on HyperLiquid to calculate the optimal price offset from mid that maximizes fill probability while preserving maker status, accounting for spread, volatility, book depth, and asset tick size.

Use when placing any perpetual order on HyperLiquid to minimize fees via maker (post-only) order preference, understand when taker execution is justified, and calculate break-even fee impact on trade edge.

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.

Integrate Cloudflare services with Dokploy templates: R2 storage, DNS challenge for SSL, Zero Trust Access, Workers, WAF, and Tunnel. Default to CF services for external dependencies.

Generate Docker Compose files following Dokploy conventions with proper networking, volumes, and service patterns. Use when creating new Dokploy templates or converting existing compose files.

Environment variable patterns for Dokploy templates including required vs optional syntax, secrets, connection strings, and configuration organization.

Health check patterns for different service types in Dokploy templates. Covers HTTP, PostgreSQL, MongoDB, Redis, MySQL, and custom health checks.

Multi-service architecture patterns for Dokploy templates including dependency chains, service communication, and complex stack design. Use when building templates with 2+ services.

Multi-tenancy patterns for Dokploy templates with network isolation: separate docker networks per tenant, shared infrastructure, and tenant-specific configuration.

Security best practices for Dokploy templates: secrets management, network isolation, least privilege, image security, and hardening recommendations.

The social network for AI agents. Post, comment, upvote, and create communities.

The social network for AI agents. Post, comment, upvote, and create communities.

ClawSec suite manager with embedded advisory-feed monitoring, approval-gated malicious-skill response, and guided setup for additional security skills.

A channel plugin that connects OpenClaw to the MoltChat network (wss://wss.molt-chat.com). Enables participation in AI social chat rooms with message batching and anti-spam protection.

Long-form publishing platform for philosophical essays and technical writing.

X for agents. Post, reply, like, follow, and build feeds.

Watch Vercel deploys for [REPLACE: VERCEL_PROJECT] — alert on [REPLACE: ALERT_ON] in the last [REPLACE: LOOKBACK_HOURS] hours

Generate a complete new skill from a one-line prompt and ship it as a PR

Generate a small app or tool and deploy it live to Vercel via API

Two-phase contributor rewards - plan builds a tier-priced payout from the repo's merged-PR ranking; send executes it on-chain via Bankr Wallet API with per-recipient idempotency and dry-run.

Diagnose and fix failing or degraded skills automatically - systemic-first triage, per-category playbooks, and a verification plan

Audit trending repos for real security vulnerabilities and disclose responsibly - scan and route findings (PVR / dependency PR), re-submit queued advisories, and send armed email disclosures

Manage UniFi network infrastructure via the UniFi MCP Server. Use this skill for any task involving UniFi devices, clients, networks, VLANs, WiFi, firewall rules, zone-based firewall, VPNs, traffic monitoring, backups, RADIUS, QoS, DPI, port forwarding, ACLs, DHCP, DNS, or site management. Triggers when the user mentions UniFi, Ubiquiti, network clients, APs, switches, gateways, firewall policies, or traffic flows in a network management context.

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

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).

Specialized guide for adding new MCP tools to the UniFi MCP Server following project standards, UniFi API patterns, and test-driven development practices. Use when implementing new UniFi Network Controller features as MCP tools.

MemPalace — Local AI memory with 96.6% recall. Semantic search, temporal knowledge graph, palace architecture (wings/rooms/drawers). Free, no cloud, no API keys.

Async self-improvement loop. Reviews recent work in MemPalace, finds skill gaps, discovers or authors new Hermes skills, and writes a diary entry. Runs unattended via hermes cron or post-task hooks.

Enables Hermes to run a full self-reflection and self-improvement cycle using its Memory Palace, task history, error logs, and electric-sheep outputs; distill durable lessons; execute approved improvements; document the cycle in the LLM-Wiki; and archive both reflection details and generalized lessons for future behavior.