Startup Analysis

This runs a three-angle teardown of any startup: VC investor (is this fundable?), job applicant (should I work here?), and CEO (how healthy is this company actually?). You feed it a company name and it pulls public data from web search, Crunchbase, LinkedIn headcount trends, then evaluates market size, unit economics, runway risk, equity value, product-market fit signals, and competitive moat. The frameworks are detailed, each perspective gets specific metrics and red flags from reference docs, then it synthesizes where the lenses agree or conflict. Useful when you're deciding whether to join a startup, invest, or just need honest due diligence that goes beyond the pitch deck. Outputs a verdict for each perspective with reasoning.

skills.sh installs: 3.2K
GitHub stars: 3.5K
last updated: Aug 21, 2026

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Install

$ npx -y skills add himself65/finance-skills --skill startup-analysis --agent claude-code

Installs into .claude/skills of the current project.

Files

Startup Analysis

Produces a multi-perspective analysis of a startup, examining it through three lenses that each reveal different aspects of company health and potential:

VC Investor Lens — Is this a good investment? Market size, unit economics, growth trajectory, team quality, defensibility
Job Applicant Lens — Should I work here? Equity value, runway risk, culture signals, career growth, compensation fairness
CEO/Founder Lens — How healthy is this company? Product-market fit, burn efficiency, competitive moat, organizational health

Each perspective surfaces insights the others miss. A company can be a great investment but a terrible place to work (or vice versa). The goal is to give the user a 360-degree view so they can make informed decisions.

Step 1: Gather Information

Before analyzing, collect as much public information as possible about the startup. Use web search, the company's website, Crunchbase data, press coverage, and any other available sources.

Key data to gather:

SKILL.md on GitHub