By ZaBrisket
Repeatable tuck-in acquisition analysis pipeline for commercial door services and adjacent lower-middle-market service businesses. Takes a target name, website, owner-provided revenue mix, and a historical financials file; produces a staged target intelligence brief, market and multiples memo, quality-of-earnings findings memo, valuation thesis, three-statement model with returns, and a screening memo. An orchestrator skill dispatches five scoped subagents across three waves; one subagent holds write access.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Performs a first-pass quality-of-earnings review of an acquisition target's historical financials — reconstructs the adjusted-EBITDA bridge, builds an add-back register, normalizes owner compensation, tests related-party items, assesses revenue quality and customer concentration, and pegs normalized working capital. Wave 1 of the tuck-in pipeline. Read-only; produces the QoE findings memo.
Researches the target's sector and adjacent service-rollup analogs and returns a market context memo with a defensible entry/exit multiple range. Wave 1 of the tuck-in pipeline. Read-only; web search only — no paid data feeds.
Builds the three-statement model with a returns view in Excel and drafts the screening memo, from an approved assumption set and the QoE findings memo. Wave 3 of the tuck-in pipeline. This is the only subagent with write access.
Crawls an acquisition target's website and returns a structured company profile — service and product lines, end markets, footprint, manufacturer relationships, certifications, and leadership facts. Wave 1 of the tuck-in pipeline. Read-only; touches untrusted external web content.
Builds a revenue forecast by segment and positions the target within the multiple range, working from the QoE memo's normalized earnings base. Wave 2 of the tuck-in pipeline. Read-only synthesis; produces the assumption set that becomes the model's input contract. Does not write deliverable files.
Sector knowledge for analyzing commercial door services acquisition targets — segment structure, the revenue-quality hierarchy, the certification and compliance drivers of recurring revenue, the adjacent service-rollup analogs, and how to triangulate a defensible valuation multiple when no clean public comparables exist. Use when researching the market context for a commercial door services or adjacent field-service tuck-in.
Method for positioning a lower-middle-market service-business acquisition target within a valuation multiple range — identifying the company-specific quality factors that move a business up or down within the range, and stating the position without false precision. Use when converting market research and a normalized earnings base into a valuation thesis for a tuck-in.
Method for a first-pass quality-of-earnings review of a lower-middle-market service-business acquisition target — building the adjusted-EBITDA bridge, disciplining add-backs, normalizing owner compensation, scrutinizing revenue quality, pegging normalized working capital, and handling cash-basis financials. Use when reviewing a target's historical financials to establish a defensible normalized earnings base.
Structure and method for the screening memo a corporate-development team produces at the end of a tuck-in first-pass analysis — the recommendation document that synthesizes target intelligence, market context, the QoE findings, the valuation thesis, and the model into a clear proceed / further-diligence / pass call. Use when drafting the recommendation document for an acquisition target.
Method for crawling a target company's website with Firecrawl and extracting a structured company profile for acquisition analysis. Covers the map-then-extract workflow, the door-services field taxonomy, how to read each field analytically, and the cautions specific to small private-company websites. Use when building the first-pass intelligence on an acquisition target.
This plugin requires configuration values that are prompted when the plugin is enabled. Sensitive values are stored in your system keychain.
firecrawl_api_keyAPI key from firecrawl.dev. Used by the target-intel worker to crawl target company websites. Stored securely; never written to a plugin file.
${user_config.firecrawl_api_key}External network access
Connects to servers outside your machine
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimnpx claudepluginhub zabrisket/vortex-tuck-in-analyst --plugin vortex-tuck-in-analystSolves financial-services case studies end-to-end. Inventories provided materials, classifies the case (model-only, deck-only, or model+deck), and dispatches a thin set of workers preloaded with Anthropic's financial-analysis, investment-banking, and private-equity skills. Headless: produces .xlsx and .pptx file artifacts under <case-folder>/_output/.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification