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Pm Agent Strategy Authoring

Community
YichengYang-Ethan
pm-agent-strategy-authoring

Turn an LLM- or tool-driven idea into AgentStrategy code and evaluate it with paper trading.

Overview

PublisherYichengYang-Ethan
Repositoryoracle3-prediction-market-agent
Skill namepm-agent-strategy-authoring
Stars
502
Forks
59
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by YichengYang-Ethan on GitHub. Read the source before you install it.

Installation

Install the Pm Agent Strategy Authoring AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/YichengYang-Ethan/oracle3-prediction-market-agent/tree/main/.claude/skills/pm-agent-strategy-authoring
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/YichengYang-Ethan/oracle3-prediction-market-agent.git /tmp/oracle3-prediction-market-agent
mkdir -p .claude/skills
cp -r /tmp/oracle3-prediction-market-agent/.claude/skills/pm-agent-strategy-authoring .claude/skills/pm-agent-strategy-authoring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Agent Strategy Authoring in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pm Agent Strategy Authoring on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pm Agent Strategy Authoring is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PM Agent Strategy Authoring

Use this skill when the user asks for a strategy that makes decisions with an LLM, MCP tools or external APIs.

Goals

  • A runnable strategy class (an AgentStrategy subclass).
  • strategy validate and paper run both succeed.
  • No parameter grid search: agent strategies cannot be auto-tuned.

Code entry points

  • Base class contract: oracle3/strategy/agent_strategy.py (AgentStrategy).
  • LLM strategy reference: oracle3/strategy/simple_strategy.py.
  • New strategies go in strategies/.

Steps

  1. Create the skeleton
  • oracle3 strategy create --output strategies/<name>.py --class-name <ClassName> --type agent
  1. Implement the strategy
  • Call the LLM, MCP tools or external APIs inside process_event.
  • Non-determinism is fine: results may differ between calls.
  • Write the LLM output into the reasoning field with self.record_decision(reasoning=...) so it can be monitored.
  • Call trader.place_order(...) to act.
  • Guard every decision with self.is_paused() to respect the control plane.
  1. Quick validation
  • oracle3 strategy validate --strategy-ref strategies/<name>.py:<ClassName> --dry-run --events 10 --json
  1. Evaluate with paper trading (the right way to evaluate agent strategies)
  • oracle3 paper run --strategy-ref strategies/<name>.py:<ClassName> --monitor
  • Watch decisions and positions with oracle3 trade status --json.
  • Take a full snapshot with oracle3 trade state --json.
  1. Intervene and adjust
  • oracle3 trade pause / oracle3 trade resume
  • Hot-swap the strategy with oracle3 trade swap --strategy-ref strategies/<new>.py:<NewClass>.

Hard rules

  • AgentStrategy subclasses cannot be used with research auto-tune --param-grid-json; it raises an error.
  • External API calls need timeouts and error handling so they never block the event loop.
  • Check self.is_paused() before every decision.
  • Never use future information (no look-ahead).
  • Keep runs reproducible: record the strategy file path, class name and command.

Frequently asked questions

What does the Pm Agent Strategy Authoring AI skill do?

Turn an LLM- or tool-driven idea into AgentStrategy code and evaluate it with paper trading.

Why use Pm Agent Strategy Authoring on TypingMind?

Because you install it once and use it with any model. Pm Agent Strategy Authoring is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pm Agent Strategy Authoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/YichengYang-Ethan/oracle3-prediction-market-agent/tree/main/.claude/skills/pm-agent-strategy-authoring. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Agent Strategy Authoring?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pm Agent Strategy Authoring?

As many as you like. As long as a model supports skills, you can use Pm Agent Strategy Authoring with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pm Agent Strategy Authoring AI skill free?

Yes. It is published on GitHub by YichengYang-Ethan under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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