Catalyst Confirmation logo

Catalyst Confirmation

Organization
Superior-Trade
catalyst-confirmation

Use when a Polymarket prediction-market thesis rests on an external event — CPI, Fed, elections, court rulings, ETF decisions — and needs market confirmation before committing.

Overview

PublisherSuperior-Trade
Repositorysuperior-skills
Skill namecatalyst-confirmation
Stars
215
Forks
9
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 Superior-Trade on GitHub. Read the source before you install it.

Installation

Install the Catalyst Confirmation 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/Superior-Trade/superior-skills/tree/main/skills/catalyst-confirmation
  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/Superior-Trade/superior-skills.git /tmp/superior-skills
mkdir -p .claude/skills
cp -r /tmp/superior-skills/skills/catalyst-confirmation .claude/skills/catalyst-confirmation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Catalyst Confirmation 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 Catalyst Confirmation 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 Catalyst Confirmation 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.

Strategy: Polymarket · Catalyst Confirmation

When to use

Use this when the user ties a strategy idea to an external event (CPI, Fed, court rulings, ETF, earnings, protocol upgrade, sports injuries) and wants Polymarket behavior to confirm it.

What the agent should look for

  • Canonical Polymarket market from GET /context/markets?venue=polymarket.
  • Clear catalyst timestamp or date.
  • Evidence of filled-trade reaction after the catalyst window.
  • Enough filled history around the event window.
  • Confirmation that market question maps directly to the catalyst.

Backtest fit with filled data

Moderate fit. Filled TradeTick backtests can validate whether price reacted and how quickly after timestamps. They do not validate the news source itself or guarantee it remains relevant in future sessions.

This is an archetype template: it should be converted into custom NautilusTrader code and tuned by the user and engine constraints.

Strategy logic

Enter only when the expected directional catalyst outcome appears and a filled-trade confirmation move occurs after the catalyst window.

Nautilus strategy shape

  • Ignore ticks before the configured catalyst timestamp.
  • Require a confirmation_move in the right direction within confirmation_window_ticks.
  • Enter with the configured size only after confirmation.
  • Exit after exit_after_ticks, on reversal, or near market end.

Example strategyConfig

json
{
  "catalyst_time": "2026-06-12T18:00:00Z",
  "confirmation_move": 0.025,
  "confirmation_window_ticks": 20,
  "order_size": 10,
  "exit_after_ticks": 60
}

Iteration knobs

KnobEffect
confirmation_moveHigher = wait for stronger post-catalyst movement.
confirmation_window_ticksLower = tighter catalyst-response window.
exit_after_ticksHigher = hold longer for delayed event drift.

Failure modes

  1. Catalyst information may already be priced in before timestamp.
  2. Market may not map cleanly to the event framing.
  3. False-positive events can create temporary spikes without follow-through.
  4. Single-event backtests can overfit and fail in fresh conditions.

User-facing framing

"This is a catalyst-led archetype, not a guaranteed edge. It runs on filled TradeTick history and exact market identifiers, then becomes a starting point for custom Nautilus strategy generation."

Frequently asked questions

What does the Catalyst Confirmation AI skill do?

Use when a Polymarket prediction-market thesis rests on an external event — CPI, Fed, elections, court rulings, ETF decisions — and needs market confirmation before committing.

Why use Catalyst Confirmation on TypingMind?

Because you install it once and use it with any model. Catalyst Confirmation 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 Catalyst Confirmation in TypingMind?

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

Which AI models can use Catalyst Confirmation?

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 Catalyst Confirmation?

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

Is the Catalyst Confirmation AI skill free?

Yes. It is published on GitHub by Superior-Trade 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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