vc-market-sizing
vc-market-sizing is a Market & industry research skill for AI agents, published by luisschmitzheadline in the VC-Skills.md repository on GitHub. Skillspace rates vc-market-sizing D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Bottom-up market sizing (TAM/SAM/SOM) for venture capital analysis. Use when: (1) sizing a startup's market opportunity, (2) calculating TAM/SAM/SOM for an investment memo or due diligence, (3) validating a company's market size claims, (4) comparing bottom-up vs top-down market estimates, (5) building ARPC-based revenue models by customer segment. Produces structured, source-backed market sizing with segment-level ARPC decomposition and top-down sanity check.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 22
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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