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Pm Data Discovery

Community
YichengYang-Ethan
pm-data-discovery

Find out what prediction-market data is available, locate the target markets, and save research samples to files. Data discovery and collection only; no strategy hypotheses.

Overview

PublisherYichengYang-Ethan
Repositoryoracle3-prediction-market-agent
Skill namepm-data-discovery
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 Data Discovery 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-data-discovery
  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-data-discovery .claude/skills/pm-data-discovery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pm Data Discovery 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 Data Discovery 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 Data Discovery 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 Data Discovery

Use this skill when the user wants to look at data, find markets, or collect research samples before any strategy work.

Goals

Answer three questions:

  • Which data sources are available?
  • How do I find the target markets?
  • How do I save the data as files that later strategy research can use?

Data entry points

  1. Market metadata and search (online)
  • oracle3 market list --exchange polymarket --limit 50 --json
  • oracle3 market search --exchange polymarket --query "<keyword>" --limit 50 --json
  • oracle3 market info --exchange polymarket --market-id <market_id> --json
  • oracle3 market history --market-id <market_id> --interval 1h --limit 500 --json
  1. News and external events (online)
  • oracle3 news fetch --source google --query "<keyword>" --limit 30 --json
  • oracle3 news fetch --source rss --query "<keyword>" --limit 30 --json
  1. Local history files (offline)
  • oracle3 research markets --history-file <history.jsonl> --sort-by points --limit 50 --json
  • oracle3 research slice --history-file <history.jsonl> --market-id <M> --event-id <E> --output <slice.jsonl> --json
  1. Raw stream recording (online)
  • oracle3 data record --exchange polymarket --output <events.jsonl> --duration 3600 --json
  1. Through the MCP server (oracle3-mcp)
  • search_markets, get_market, get_orderbook, get_quote for Kalshi and Polymarket.

Recommended flow

  1. Use market search or market list to define the candidate markets.
  2. Pull market info and market history for the candidates to check liquidity and price behavior.
  3. For offline research, record with data record or use an existing history file.
  4. Produce slices of the key markets for the strategy agent to read.

Output requirements

  • A clear data inventory: markets, time range, file paths.
  • Every conclusion comes with a command that reproduces it.
  • If the network is unavailable, switch to the local research commands instead of stopping.

Hard rules

  • Do not propose strategy logic in this skill.
  • Only discover, filter, sample and save data.
  • Prefer --json output so that later agents can consume it.

Frequently asked questions

What does the Pm Data Discovery AI skill do?

Find out what prediction-market data is available, locate the target markets, and save research samples to files. Data discovery and collection only; no strategy hypotheses.

Why use Pm Data Discovery on TypingMind?

Because you install it once and use it with any model. Pm Data Discovery 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 Data Discovery 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-data-discovery. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pm Data Discovery?

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 Data Discovery?

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

Is the Pm Data Discovery 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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