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Alphagbm Polymarket

CommunityPopular
AlphaGBM
alphagbm-polymarket

Integrates prediction market data (Polymarket) with options analysis to surface mispricing signals between event probabilities and options-implied probabilities. Triggers: "polymarket signals", "prediction market vs options", "event probability", "rate cut odds", "election odds vs options", "polymarket arbitrage", "implied probability mismatch", "prediction market data", "event-driven options"

Overview

PublisherAlphaGBM
Repositoryskills
Skill namealphagbm-polymarket
Stars
2.7K
Forks
290
Bundled files
Instructions only
LicenseMIT
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 AlphaGBM on GitHub. Read the source before you install it.

Installation

Install the Alphagbm Polymarket 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.
  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/AlphaGBM/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/alphagbm-polymarket .claude/skills/alphagbm-polymarket
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Alphagbm Polymarket 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 Alphagbm Polymarket 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 Alphagbm Polymarket 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.

AlphaGBM Polymarket Integration

Bridges prediction markets and options markets -- when Polymarket says 70% chance of a rate cut but options imply 55%, that is a potential mispricing you can trade.

What This Skill Does

ConceptDescription
Event ProbabilityThe prediction market's consensus probability for a specific event (e.g., rate cut, election outcome)
Options-Implied ProbabilityThe probability the options market is pricing in, derived from option prices and skew
Probability SpreadThe gap between prediction market and options-implied probabilities -- large spreads signal mispricing
Arbitrage SignalWhen the spread exceeds a threshold, there may be a tradeable opportunity
Event CorrelationHow strongly a binary event maps to specific options positions
Historical AccuracyTrack record of prediction markets vs options in forecasting similar past events

How to Use

Input: An event type or query about prediction market vs options pricing.

Output:

  • Event probability comparison table: Polymarket probability vs options-implied probability
  • Probability spread and direction (which market is more bullish/bearish on the event)
  • Mispricing signals ranked by confidence and spread size
  • Suggested options trades to exploit the mispricing
  • Historical accuracy comparison for similar past events

Example Queries:

  • polymarket signals — Scan for the largest probability mismatches right now
  • prediction market vs options rate cut — Compare Fed rate cut odds across markets
  • event probability election — Election outcome probabilities vs options positioning
  • rate cut odds — What prediction markets and options each imply about the next Fed meeting
  • polymarket arbitrage — Actionable mispricing opportunities

Mock Data

Mock data files are located in mock-data/polymarket/ and include:

  • rate-cut-comparison.json — Fed rate cut probabilities: Polymarket vs options-implied
  • event-scan.json — Top mispricing signals across active prediction markets
  • historical-accuracy.json — Past event forecasting accuracy by market type

API Endpoint

GET /api/analytics/polymarket/signals
GET /api/analytics/polymarket/event/{event_id}

Query parameters:

  • event_type (string) — Filter: "fed", "election", "earnings", "macro", "all"
  • min_spread (float, default 0.10) — Minimum probability spread to surface (10%)
  • include_trades (bool, default true) — Include suggested options trades

Response fields: events[], polymarket_prob, options_implied_prob, spread, confidence, suggested_trades[], historical_accuracy

Related Skills

SkillRelevance
alphagbm-market-sentimentMacro sentiment context for interpreting event probabilities
alphagbm-options-strategyStrategy recommendations that can exploit mispricing signals

Powered by AlphaGBM — Real-data options & research intelligence. 10K+ users.

Frequently asked questions

What does the Alphagbm Polymarket AI skill do?

Integrates prediction market data (Polymarket) with options analysis to surface mispricing signals between event probabilities and options-implied probabilities. Triggers: "polymarket signals", "prediction market vs options", "event probability", "rate cut odds", "election odds vs options", "polymarket arbitrage", "implied probability mismatch", "prediction market data", "event-driven options"

Why use Alphagbm Polymarket on TypingMind?

Because you install it once and use it with any model. Alphagbm Polymarket 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 Alphagbm Polymarket in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-polymarket. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Alphagbm Polymarket?

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 Alphagbm Polymarket?

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

Is the Alphagbm Polymarket AI skill free?

Yes. It is published on GitHub by AlphaGBM under the MIT 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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