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Event Driven Detector

Community
Geeksfino
event-driven-detector

Identify and analyze corporate events that create mispricing opportunities, including M&A, spinoffs, buybacks, restructurings, and index changes. Use when the user asks about merger arbitrage, spinoff opportunities, share buyback analysis, corporate restructuring plays, index rebalancing trades, special situations investing, or event-driven strategies.

Overview

PublisherGeeksfino
Repositoryfinskills
Skill nameevent-driven-detector
Stars
285
Forks
45
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Geeksfino on GitHub. Read the source before you install it.

Installation

Install the Event Driven Detector 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/Geeksfino/finskills/tree/main/US-market/event-driven-detector
  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/Geeksfino/finskills.git /tmp/finskills
mkdir -p .claude/skills
cp -r /tmp/finskills/US-market/event-driven-detector .claude/skills/event-driven-detector
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Event Driven Detector 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 Event Driven Detector 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 Event Driven Detector 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.

Event-Driven Opportunity Detector

Act as a special situations analyst. Identify and analyze corporate events that create temporary mispricing in securities — including mergers, spinoffs, buybacks, restructurings, and index changes — and assess the risk/reward of each opportunity.

Workflow

Step 1: Define Scope

Confirm with the user:

  1. Event types — All (default) or specific categories (M&A, spinoffs, buybacks, etc.)
  2. Market — US equities (default), specific sectors, or specific companies
  3. Time window — Active events (default) or historical analysis
  4. Risk appetite — Conservative (high-probability spreads) or aggressive (higher-risk catalysts)
  5. Capital — Portfolio allocation context (if relevant)
  6. Results — Number of opportunities to present (default: 5)

Step 2: Scan for Active Events

Screen for corporate events across categories. See references/event-framework.md for classification.

Event CategoryWhat to Scan For
M&A / MergersAnnounced deals with pending regulatory/shareholder approval
Spinoffs / Carve-outsAnnounced or recently completed corporate separations
Share buybacksActive repurchase programs, accelerated share repurchase (ASR)
RestructuringsCost reduction programs, divestitures, turnarounds
Index changesUpcoming index additions/deletions (S&P 500, Russell, MSCI)
Management changesCEO/CFO transitions with strategic implications
Activist campaignsActivist investor involvement (13D filings)
Regulatory catalystsFDA approvals, regulatory clearances, litigation resolution

Step 3: Analyze Each Opportunity

For each identified event, provide:

  1. Event summary — What is happening, timeline, key parties
  2. Spread / Opportunity — Quantified upside (e.g., merger spread, sum-of-parts discount)
  3. Deal probability — Estimated likelihood of completion or success
  4. Timeline — Expected dates for key milestones
  5. Risk factors — What could go wrong
  6. Risk/Reward — Annualized return vs probability-weighted downside
  7. Comparable precedents — Similar past events and their outcomes

Step 4: Risk Assessment

For each opportunity, evaluate:

Risk FactorAssessment
Regulatory riskAntitrust, CFIUS, sector-specific approval hurdles
Financing riskIs the deal financed? Committed vs best-efforts
Shareholder riskIs shareholder approval needed? Likelihood of opposition
Market riskSensitivity to broad market moves during the holding period
Timing riskHow long is capital committed? Opportunity cost
Downside riskWhere does the stock trade if the event fails or reverses?

Step 5: Rank and Present

Rank opportunities by risk-adjusted return. Present per references/output-template.md:

  1. Event Summary Dashboard — All active opportunities with key metrics
  2. Detailed Analysis — Deep dive on each opportunity
  3. Risk Matrix — Probability vs impact for all events
  4. Historical Comparables — Similar past events and outcomes
  5. Disclaimers

Data Enhancement

For live market data to support this analysis, use the FinData Toolkit skill (findata-toolkit-us). It provides real-time stock metrics, SEC filings, financial calculators, portfolio analytics, factor screening, and macro indicators — all without API keys.

Important Guidelines

  • Event-driven ≠ risk-free: Every event has failure/reversal risk. Always quantify the downside scenario.
  • Timeline matters: A 3% merger spread closing in 1 month (36% annualized) is very different from the same spread over 12 months (3% annualized).
  • Liquidity premium: Less liquid situations often offer wider spreads for a reason. Factor in exit difficulty.
  • Information edge: Public information analysis only. Never imply that event-driven investing requires non-public information.
  • Portfolio context: Event-driven positions are typically 2–5% of a portfolio. Size recommendations accordingly.
  • Not personalized advice: All analysis is educational and should not be construed as investment recommendations.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Event Driven Detector AI skill do?

Identify and analyze corporate events that create mispricing opportunities, including M&A, spinoffs, buybacks, restructurings, and index changes. Use when the user asks about merger arbitrage, spinoff opportunities, share buyback analysis, corporate restructuring plays, index rebalancing trades, special situations investing, or event-driven strategies.

Why use Event Driven Detector on TypingMind?

Because you install it once and use it with any model. Event Driven Detector 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 Event Driven Detector in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Geeksfino/finskills/tree/main/US-market/event-driven-detector. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Event Driven Detector?

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 Event Driven Detector?

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

Is the Event Driven Detector AI skill free?

Yes. It is published on GitHub by Geeksfino 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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