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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.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install adlai88/simmer-skill-builder打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Generate complete, runnable Simmer trading skills from a strategy description.
You are building an OpenClaw skill that trades prediction markets through the Simmer SDK. The skill you generate will be installed into your skill library and run by you — it must be a complete, self-contained folder that works out of the box.
Ask your human what their strategy does. They might:
Clarify until you understand:
Read these files to understand the patterns:
references/skill-template.md — The canonical skill skeleton. Copy the boilerplate blocks verbatim (config system, get_client, safeguards, execute_trade, CLI args).references/simmer-api.md — Simmer SDK API surface. All available methods, field names, return types.If the Simmer MCP server is available (simmer://docs/skill-reference resource), prefer reading that for the most up-to-date API docs. Otherwise use references/simmer-api.md.
For real examples of working skills, read:
references/example-weather-trader.md — Pattern: external API signal + Simmer SDK tradingreferences/example-mert-sniper.md — Pattern: Simmer API only, filter-and-trade...这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Simmer Skill Builder Generate complete, runnable Simmer trading skills from a strategy description. > You are building an OpenClaw skill that trades prediction markets through the Simmer SDK. The skill you generate will be installed into your skill library and run by you — it must be a complete, self-contained folder that works out of the box. ## Workflow ### Step 1: Understand the Strategy Ask your human what their strategy does. They might: - Describe a trading thesis in plain language - Paste a tweet or thread about a strategy - Reference an external data source (Synth, NOAA, Binance, RSS, etc.) - Say something like "build me a bot that buys weather markets" or "create a skill for crypto momentum" Clarify until you understand: 1. **Signal** — What data drives the decision? (external API, market price, on-chain data, timing, etc.) 2. **Entry logic** — When to buy? (price threshold, signal divergence, timing window, etc.) 3. **Exit logic** — When to sell? (take profit threshold, time-based, signal reversal, or rely on auto-risk monitors) 4. **Market selection** — Which markets? (by tag, keyword, category, or discovery logic) 5. **Position sizing** — Fixed amount or smart sizing? What default max per trade? ### Step 2: Load References Read these files to understand the patterns: 1. **`references/skill-template.md`** — The canonical skill skeleton. Copy the boilerplate blocks verbatim (config system, get_client, safeguards, execute_trade, CLI args). 2. **`references/simmer-api.md`** — Simmer SDK API surface. All available methods, field names, return types. If the Simmer MCP server is available (`simmer://docs/skill-reference` resource), prefer reading that for the most up-to-date API docs. Otherwise use `references/simmer-api.md`. For real examples of working skills, read: - **`references/example-weather-trader.md`** — Pattern: external API signal + Simmer SDK trading - **`references/example-mert-sniper.md`** — Pattern: Simmer API only, filter-and-trade...
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