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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.

adlai880 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install adlai88/simmer-skill-builder

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/adlai88/simmer-skill-builder
Version
—
Commit
d7e2f9a384fe5791480326bd85d0a01dbce724b0
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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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