Pm Quant Strategy Authoring

Community

YichengYang-Ethan

pm-quant-strategy-authoring

Turn an agent's quantitative idea into Strategy code with tunable parameters and verifiable behavior.

Overview

Publisher	YichengYang-Ethan
Repository	`oracle3-prediction-market-agent`
Skill name	`pm-quant-strategy-authoring`
Stars	502
Forks	59
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

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

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.

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

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/YichengYang-Ethan/oracle3-prediction-market-agent/tree/main/.claude/skills/pm-quant-strategy-authoring

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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-quant-strategy-authoring .claude/skills/pm-quant-strategy-authoring

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Quant 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 Quant 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 Quant 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 Quant Strategy Authoring

Use this skill when the user asks the agent to come up with a strategy and write the code.

Goals

A runnable strategy class (a QuantStrategy subclass).
Exposed numeric parameters, so the strategy can be auto-tuned.
strategy validate and backtest run both succeed.

Code entry points

Base class contract: oracle3/strategy/quant_strategy.py (QuantStrategy).
For LLM-driven strategies use AgentStrategy instead (see pm-agent-strategy-authoring).
Example strategies: examples/strategies/*.py, strategies/*.py.
New strategies go in strategies/.

Steps

Create the skeleton

oracle3 strategy create --output strategies/<name>.py --class-name <ClassName> --type quant

Implement the strategy

In process_event, handle only the event types you need (usually PriceChangeEvent).
Put parameters in the constructor; numeric parameters are what tuning searches over.
Call trader.place_order(...) to act.
Record actions and signals with self.record_decision(...).

Quick validation

oracle3 strategy validate --strategy-ref strategies/<name>.py:<ClassName> --strategy-kwargs-json '<json>' --dry-run --events 10 --json

Single-market backtest

oracle3 backtest run --history-file <history.jsonl> --market-id <M> --event-id <E> --strategy-ref strategies/<name>.py:<ClassName> --strategy-kwargs-json '<json>' --json

Prepare for tuning

Every parameter has a clear meaning, bounds and a default.
Parameter types stay JSON-serializable.
Tune with oracle3 research auto-tune --param-grid-json '<json>' ....

Hard rules

Do not hard-code strategy logic in a command-line script; it belongs in its own strategy file.
Never use future information (no look-ahead).
Keep runs reproducible: record the strategy file path, class name, kwargs and command.

Frequently asked questions

What does the Pm Quant Strategy Authoring AI skill do?

Turn an agent's quantitative idea into Strategy code with tunable parameters and verifiable behavior.

Why use Pm Quant Strategy Authoring on TypingMind?

Because you install it once and use it with any model. Pm Quant 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 Quant 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-quant-strategy-authoring. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Quant 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 Quant Strategy Authoring?

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

Is the Pm Quant 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

PM Quant Strategy Authoring

Goals

Code entry points

Steps

Hard rules

Frequently asked questions

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