first-customer-finder
first-customer-finder is a Prospecting & lead research skill for AI agents, published by Kappaemme-git in the codex-first-customer-finder-skill repository on GitHub. Skillspace rates first-customer-finder C (79/100) and it passed the safety scan; the rating is based on static analysis only.
Find and qualify evidence-backed potential first customers, early adopters, design partners, or beta users for a startup using recent public pain and buying signals. Use when Codex needs to analyze a product URL or idea, define an ideal customer profile, research public discussions and business pages, identify first-user prospects, rank lead fit and timing, prepare source-based outreach drafts, or create a shareable early-customer prospecting report without sending messages automatically.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 705
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
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General startup customer-discovery research method, no product dependency
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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