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startup-analysis

Agent skill fromhimself65/finance-skills

Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and competitive position, with a verdict for each. Use this skill whenever the user wants to evaluate a startup or private tech company: due diligence, whether to invest in it or join it, weighing a startup job offer, company health, outlook, or competitive position, or open-ended asks such as "what do you think of [company]" or "research [company] for me".

How to install startup-analysis

install startup-analysis
# install the finance-skills pack with the skills CLI
npx skills add himself65/finance-skills

# or add only this skill to Claude Code: copy the folder

plugins/startup-tools/skills/startup-analysis/

# into

~/.claude/skills/startup-analysis/ (all projects)

.claude/skills/startup-analysis/ (one project)

plugins/startup-tools/skills/startup-analysis/SKILL.md

MITFull file
1# Startup Analysis
2
3Produces a multi-perspective analysis of a startup, examining it through three lenses that each reveal different aspects of company health and potential:
4
51. **VC Investor Lens** — Is this a good investment? Market size, unit economics, growth trajectory, team quality, defensibility
62. **Job Applicant Lens** — Should I work here? Equity value, runway risk, culture signals, career growth, compensation fairness
73. **CEO/Founder Lens** — How healthy is this company? Product-market fit, burn efficiency, competitive moat, organizational health
8
9Each 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.
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11---
12
13## Step 1: Gather Information
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15Before 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.
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17**Key data to gather:**
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19| Category | What to find |
20|----------|-------------|
21| **Basics** | Founded year, HQ location, employee count, what the product does |
22| **Funding** | Total raised, last round (size, date, valuation if known), key investors |
23| **Product** | What they sell, who buys it, pricing model, key competitors |
24| **Traction** | Users, revenue (if public), growth signals, notable customers |
25| **Team** | Founders' backgrounds, key hires, LinkedIn headcount trends |
26…

Excerpt shown under the repository's MIT license.

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