New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Event Driven Detector

by Geeksfino in Geeksfino/finskills

Identify and analyze corporate events that create mispricing opportunities, including M&A, spinoffs, buybacks, restructurings, and index changes.

Apache-2.0Auto-check passedBackend & APIs

Install Event Driven Detector

skills CLI
$ npx skills add Geeksfino/finskills --skill event-driven-detector -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Geeksfino/finskills event-driven-detector --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/US-market/event-driven-detector .claude/skills/event-driven-detector && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
event-driven-detector
GitHub stars
283
Token cost
~1.2k tokens
SKILL.md length
504 words
Files
4 (incl. references)
Skills in repo
30
Repo updated
First seen
Licence
Apache-2.0

At a glance

Identify and analyze corporate events that create mispricing opportunities, including M&A, spinoffs, buybacks, restructurings, and index changes.

  • Works in 5 steps: Define Scope → Scan for Active Events → Analyze Each Opportunity → …
  • The user asks about merger arbitrage
  • SKILL.md covers Workflow, Data Enhancement and Important Guidelines
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Event Driven Detector is an agent skill from Geeksfino/finskills. 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.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/event-framework.md` and `references/output-template.md`).

It sits in Backend & APIs, covering Event-driven systems. The repository describes itself as: Financial engineering and risk/compliance skills for agents. The licence is Apache-2.0.

When your agent uses it

  • The user asks about merger arbitrage
  • Spinoff opportunities
  • Share buyback analysis
  • Corporate restructuring plays

Example prompts

  • “/event-driven-detector”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Define Scope
  2. Scan for Active Events
  3. Analyze Each Opportunity
  4. Risk Assessment
  5. Rank and Present

What it can do on your machine

Read from SKILL.md and the folder at commit 8722415. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Event Driven Detector loads about 1.2k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 504 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~94
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Geeksfino/finskills at commit 8722415, republished under its Apache-2.0 licence (© Geeksfino). 504 words, ~1,174 tokens.

Download SKILL.mdSave it as .claude/skills/event-driven-detector/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
event-driven-detector
description
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.
license
Apache-2.0

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?
Show full SKILL.md (182 more words)Show less
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.

© Geeksfino, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in US-market/event-driven-detector of Geeksfino/finskills.

  • SKILL.md
  • LICENSE.txt
  • references/event-framework.md
  • references/output-template.md

Open the folder on GitHubat commit 8722415

Compare with similar skills

Event Driven Detector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Event Driven Detector compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Event Driven Detector this skillGeeksfino/finskills283—~1.2kAutomated safety check: PassApache-2.0
Stripe Projectsfossasia/eventyay1.7k5 repos~2kAutomated safety check: NotesApache-2.0
MQTTX CLIemqx/MQTTX5.1k—~1.9kAutomated safety check: PassApache-2.0
AWS Serverless Edazxkane/aws-skills3674 repos~3.2kAutomated safety check: PassMIT
Windmill Trigger Type Checklistwindmill-labs/windmill18k—~4.7kAutomated safety check: PassCustom licence
FoundatioFoundatioFx/Foundatio2.1k—~3.9kAutomated safety check: PassApache-2.0

Similar skills

  • Stripe Projects

    fossasia/eventyay

    A skill your agent uses when the user wants to provision infrastructure or third-party services using Stripe Projects.

    1.7k GitHub starsUsed in 5 repos~2k tokens
    Backend & APIsAuto-check: notes

  • MQTTX CLI

    emqx/MQTTX

    Operates the `mqttx` command line client to connect, publish, subscribe, benchmark and simulate data against an MQTT broker, with TLS and MQTT 5 support.

    5.1k GitHub stars~1.9k tokensUpdated today
    Backend & APIsAuto-check passed

  • AWS Serverless Eda

    zxkane/aws-skills

    AWS serverless and event-driven architecture expert based on Well-Architected Framework.

    367 GitHub starsUsed in 4 repos~3.2k tokens
    Backend & APIsAuto-check passed

  • Windmill Trigger Type Checklist

    windmill-labs/windmill

    Checklist of every backend, frontend, CLI and capture change needed to add a new TriggerCrud-based trigger type, such as Azure, GCP or Kafka, to Windmill.

    18k GitHub stars~4.7k tokensUpdated today
    Backend & APIsAuto-check passed

  • Foundatio

    FoundatioFx/Foundatio

    A skill your agent uses when working with Foundatio infrastructure abstractions for .NET -- caching, queuing, messaging, file storage, distributed locking, or background jobs.

    2.1k GitHub stars~3.9k tokensUpdated today
    Backend & APIsAuto-check passed

  • Homerail Dag Ops

    xiaotianfotos/homerail

    Design, start, supervise, inspect, and continue HomeRail DAG workflows from any agent with CLI or HTTP access.

    992 GitHub stars~1.5k tokensUpdated 13 days ago
    Backend & APIsAuto-check passed

More from Geeksfino/finskills

All 30 skills in this repo

  • US Market Data Toolkit

    Geeksfino/finskills

    Free Python scripts that fetch US stock data, SEC filings, insider trades and macro indicators, and run financial score calculators and portfolio analytics.

    283 GitHub stars~1.2k tokensUpdated 7 mo ago
    Auto-check passed

  • Financial Statement Deep Dive

    Geeksfino/finskills

    Runs a forensic review of one company's financial statements covering DuPont profitability, earnings quality, financial health scores and fraud-risk signals.

    283 GitHub stars~1.8k tokensUpdated 7 mo ago
    Auto-check passed

  • Quantitative Factor Screener

    Geeksfino/finskills

    Screens a stock universe with a six-factor model, scores value, momentum, quality, low volatility, size and growth, ranks by composite score and notes which factors suit the macro regime.

    283 GitHub stars~1.3k tokensUpdated 7 mo ago
    Auto-check passed

  • Tech Hype vs Fundamentals

    Geeksfino/finskills

    Compares leading tech stocks to separate hype-driven valuations from fundamentally justified ones and to flag undervalued names the market overlooks.

    283 GitHub stars~1.3k tokensUpdated 7 mo ago
    Auto-check passed

  • Dividend Aristocrat Calculator

    Geeksfino/finskills

    Analyze Dividend Aristocrats (25+ years of consecutive dividend increases) for income reliability and total return.

    283 GitHub stars~1.2k tokensUpdated 7 mo ago
    Auto-check passed

  • ESG Stock Screener

    Geeksfino/finskills

    Screens US stocks through an ESG lens, applies optional exclusion lists, scores the environmental, social and governance pillars and judges whether ESG quality is improving.

    283 GitHub stars~1.4k tokensUpdated 7 mo ago
    Auto-check passed

Categories

Questions about Event Driven Detector

What does Event Driven Detector do?

Identify and analyze corporate events that create mispricing opportunities, including M&A, spinoffs, buybacks, restructurings, and index changes. Event Driven Detector is an agent skill from Geeksfino/finskills. Identify and analyze corporate events that create mispricing opportunities, including M&A, spinoffs, buybacks, restructurings, and index changes.

When should I use Event Driven Detector?

Event Driven Detector fits situations like: the user asks about merger arbitrage; spinoff opportunities; share buyback analysis; corporate restructuring plays.

How do I install Event Driven Detector in Claude Code?

Run `npx skills add Geeksfino/finskills --skill event-driven-detector -a claude-code`. Or copy the skill folder (US-market/event-driven-detector in Geeksfino/finskills) into .claude/skills/event-driven-detector in your project. Claude Code loads it when a task matches its description.

How do I install Event Driven Detector in Codex?

Run `npx skills add Geeksfino/finskills --skill event-driven-detector -a codex`. Or copy the skill folder (US-market/event-driven-detector in Geeksfino/finskills) into .agents/skills/event-driven-detector in your project. Codex loads it when a task matches its description.

Can I use Event Driven Detector in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Geeksfino/finskills --skill event-driven-detector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/event-driven-detector, .gemini/skills/event-driven-detector, .github/skills/event-driven-detector and .opencode/skills/event-driven-detector in your project.

What does Event Driven Detector need to run?

SKILL.md names no scripts, command-line tools or credentials: Event Driven Detector is instructions for the agent only.

Does Event Driven Detector access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Event Driven Detector safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Event Driven Detector use?

Event Driven Detector is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Event Driven Detector use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.2k tokens, read only when the agent opens those files.

What are the alternatives to Event Driven Detector?

Skills that share tags, products or a category with Event Driven Detector: Stripe Projects (fossasia/eventyay, 1.7k stars), MQTTX CLI (emqx/MQTTX, 5.1k stars), AWS Serverless Eda (zxkane/aws-skills, 367 stars) and Windmill Trigger Type Checklist (windmill-labs/windmill, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Event Driven Detector?

Geeksfino (a GitHub user) maintains it in Geeksfino/finskills, which has 283 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on March 5, 2026.

Source: Geeksfino/finskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.