skills

Step-by-step guide for building autonomous trading agents through 5 phases: design, routine, strategy, dry-run, live.

Create or edit Python routines for market analysis, monitoring, and data visualization. Use when the user asks to create, modify, or fix a routine in the routines/ folder.

Find Cross-Exchange Market Making (XEMM) opportunities by comparing order book depth and liquidity across exchanges. Identifies pairs where one exchange has thin liquidity (ideal for quoting) and another has deep liquidity (ideal for hedging).

Find arbitrage opportunities across exchanges by comparing prices for fungible token pairs like BTC/WBTC and USDT/USDC.

Developer skill for running Hummingbot and Gateway from source, building wheel and Docker images, and testing against Hummingbot API running from source. Use this skill when a developer wants to build, run, or test Hummingbot components locally.

OpenClaw cron job that delivers hourly Hummingbot status updates to your chat — API health, Gateway container, active bots/controllers, executors, and portfolio balances.

Run automated liquidity provision strategies on concentrated liquidity (CLMM) DEXs using Hummingbot API.

Check which exchanges work from your location and search for tokens with trading rules (min order size, price increment, order types).

Deploy Hummingbot trading infrastructure including API server, MCP server, and Condor Telegram bot. Use this skill when the user wants to install, deploy, set up, or configure Hummingbot.

Agent skill that faithfully reproduces Hummingbot CLI commands (connect, balance, create, start, stop, status, history) via Hummingbot API. V1 focuses on core trading workflows. For DEX/LP strategies on Solana, use lp-agent instead.

Create Hummingbot-branded PDF slides from markdown with Mermaid diagram support. Use for presentations, decks, and technical documentation with professional diagrams.