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simmer-skill-builder

Generate complete, installable OpenClaw trading skills from natural language strategy descriptions. Use when your human wants to create a new trading strategy, build a bot, generate a skill, automate a trade idea, turn a tweet into a strategy, or asks "build me a skill that...". Produces a full skill folder (SKILL.md + Python script + config) ready to install and run.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/adlai88/simmer-skill-builder
Or

What This Skill Does

The Simmer Skill Builder is an intelligent automation agent designed for OpenClaw that accelerates the creation of custom trading bots for prediction markets. Instead of manually writing boilerplate code, you describe your trading strategy in natural language, and the skill builder handles the architecture, API integrations, and safety logic. It generates a production-ready folder containing a Python execution script, a comprehensive SKILL.md documentation file, and a standardized configuration schema. It abstracts away the complexity of interfacing with the Simmer SDK, allowing users to focus on defining signals, entry/exit criteria, and position sizing without becoming a developer.

Installation

To integrate this builder into your workflow, execute the following command in your terminal: clawhub install openclaw/skills/skills/adlai88/simmer-skill-builder

Use Cases

  • Automated Prediction Hedging: Create a bot that automatically monitors weather-related prediction markets and enters positions based on real-time NOAA data.
  • Trend Following: Convert a momentum-based crypto trading tweet into an executable agent that monitors price history and executes trades on Polymarket via the Simmer SDK.
  • Market Arbitrage: Rapidly prototype agents that compare orderbook spreads across different prediction market categories and trigger orders when specific liquidity conditions are met.

Example Prompts

  1. "Build me a skill that monitors the price of Bitcoin on Polymarket and executes a buy order if the price drops by 5% in under an hour, using a fixed position size of $100."
  2. "Create a trading strategy that uses the NOAA weather API to look for extreme heat events in Texas and automatically bets on high-temperature prediction markets."
  3. "I have a strategy based on market sentiment from RSS feeds; build me a skill that parses the feed and trades when the sentiment score exceeds 0.8."

Tips & Limitations

  • Verification: Always audit the generated Python scripts before deploying real capital, especially regarding risk management parameters and exit logic.
  • Dependencies: Ensure your system has the Simmer SDK installed and configured; the builder provides the scaffolding, but the underlying SDK credentials must be managed securely.
  • Safety: The builder includes boilerplate for safeguards, but you must define your specific stop-loss and maximum exposure thresholds during the strategy definition phase to prevent excessive loss.

Metadata

Author@adlai88
Stars4473
Views0
Updated2026-05-01
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-adlai88-simmer-skill-builder": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#trading#defi#automation#prediction-markets#bots
Safety Score: 3/5

Flags: network-access, file-write, external-api, code-execution