codex-first-customer-finder-skill

Name: codex-first-customer-finder-skill
Rating: 81 (1 reviews)
Author: Kappaemme-git

Kappaemme-git/codex-first-customer-finder-skill

This skill analyzes a startup URL or product description to find, qualify, and rank evidence-backed potential first customers using public demand and pain signals.

981 114MITUpdated 2026-08-13

Great

View on GitHub Open source file

Overview

Designed to help early-stage startups and founders discover their initial adopters, design partners, or beta testers. It systematically processes a product link or idea, defines the ideal customer profile, researches public discussions and business pages for pain or timing signals, scores prospect fit, drafts respectful outreach openers, and compiles everything into a standalone HTML report without automating any messaging.

Capabilities

▸Startup URL and product copy analysis
▸Ideal Customer Profile (ICP) definition and disqualification criteria
▸Public-signal search planning and execution
▸Evidence-based prospect scoring and ranking
▸Drafting source-grounded outreach messages
▸Standalone HTML report generation

Best for

Identifying early beta testers and design partners for a new startup product, Finding high-intent B2B prospects based on public hiring, expansion, or workflow frustration signals, Generating evidence-backed customer shortlists with customized manual outreach openers

Works with

Codex

Evoa Score breakdown= Σ (score × weight)

Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 — AIによるSKILL.md/README解析

Maintenance15%100 → +15.0

リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ

Documentation12%35 → +4.2

ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量

Security15%80 → +12.0

危険・不審な挙動が無いか。 — AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 — AIによる独自性判定

Popularity8%77 → +6.2

コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）

Compatibility5%25 → +1.3

対応AIエージェントの広さ。 — AIによる対応エージェント判定

Weighted total80.6 / 100

ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。ランキングはこのScoreのみで決まり、広告で変わりません。算出方法の詳細 →

Security considerations

Strictly adheres to safe research guidelines by avoiding private data brokers, leaked datasets, login/paywall bypasses, and sensitive attributes (health, finance, politics). All outreach remains strictly manual to prevent automated spam.