[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-93260":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":13,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":14,"stars7d":15,"stars30d":15,"stars90d":14,"forks30d":14,"starsTrendScore":14,"compositeScore":16,"rankGlobal":9,"rankLanguage":9,"license":17,"archived":18,"fork":18,"defaultBranch":19,"hasWiki":20,"hasPages":18,"topics":21,"createdAt":9,"pushedAt":9,"updatedAt":28,"readmeContent":29,"aiSummary":30,"trendingCount":14,"starSnapshotCount":14,"syncStatus":31,"lastSyncTime":32,"discoverSource":33},93260,"codex-first-customer-finder-skill","Kappaemme-git\u002Fcodex-first-customer-finder-skill","Kappaemme-git","A Codex skill that finds evidence-backed potential first customers from recent public signals.",null,"Python",800,83,1,0,314,79.77,"MIT License",false,"main",true,[22,23,24,25,26,27],"codex","codex-skill","customer-discovery","early-adopters","prospecting","startup","2026-07-22 04:02:08","# Codex First Customer Finder Skill\n\nA Codex skill that turns a startup URL or product idea into a qualified shortlist of potential first customers using recent public pain, demand, and timing signals.\n\nIt defines the ideal customer profile, researches public sources, links the evidence behind every prospect, ranks fit and timing, drafts a source-based opener, and creates a polished HTML report. It never sends outreach automatically.\n\n## What It Does\n\n- Analyzes a startup URL, repository, or product description\n- Defines the primary and adjacent ideal customer profiles\n- Finds explicit demand, pain, workaround, switching, and timing signals\n- Qualifies prospects with an evidence-based score\n- Links every primary prospect to the original public source\n- Drafts respectful, source-based outreach openers\n- Creates a responsive standalone HTML report\n- Keeps all outreach manual by default\n- Avoids private contact enrichment and sensitive personal data\n\n## Installation\n\n```bash\nnpx --yes codex-first-customer-finder-skill@latest\n```\n\nThis installs the skill into:\n\n```text\n~\u002F.codex\u002Fskills\u002Ffirst-customer-finder\n```\n\nRestart Codex after installation.\n\n## Usage\n\nFind the first ten potential customers:\n\n```text\nUse $first-customer-finder to find ten evidence-backed potential first customers for https:\u002F\u002Fexample.com and create the final HTML report.\n```\n\nFind design partners:\n\n```text\nUse $first-customer-finder in design-partners mode for this startup: [URL]. Prioritize people publicly describing the problem and likely to give product feedback.\n```\n\nB2B research:\n\n```text\nUse $first-customer-finder in b2b mode for [URL]. Find public business triggers, qualify the relevant companies, and draft one opener per prospect without sending anything.\n```\n\n## Output\n\nThe report includes:\n\n1. Early-customer verdict\n2. Primary ICP and disqualifiers\n3. Highest-confidence prospect\n4. Evidence-backed prospect shortlist\n5. Fit and timing scores\n6. Source links and signal dates\n7. Personalized outreach openers\n8. Repeated pain patterns\n9. Seven-day manual outreach plan\n10. Research limitations\n\nProspects are hypotheses based on public signals, not confirmed customers or guaranteed buyers.\n\n## Modes\n\n- `quick`: up to five strong prospects\n- `standard`: up to ten prospects across several source types\n- `deep`: up to twenty prospects and repeated-pattern analysis\n- `design-partners`: feedback-oriented early adopters\n- `b2b`: companies and public business triggers\n- `community`: explicit requests and public discussion signals\n\n## Manual Installation\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002FKappaemme-git\u002Fcodex-first-customer-finder-skill.git\nmkdir -p ~\u002F.codex\u002Fskills\ncp -R codex-first-customer-finder-skill\u002Ffirst-customer-finder ~\u002F.codex\u002Fskills\u002Ffirst-customer-finder\n```\n\nRestart Codex after installation.\n\n## License\n\nMIT\n","这是一个基于Codex平台的客户发现技能，用于从公开信号中识别有证据支持的首批潜在客户。它通过分析初创公司网址或产品描述，自动定义理想客户画像，扫描社交媒体、论坛、博客等公开渠道中的需求、痛点、替代方案和时机信号，对候选人进行证据加权评分，并生成含原始信源链接、个性化触达话术和HTML报告的输出结果，全程不自动发送消息且不处理隐私数据。适用于早期创业团队在冷启动阶段开展手动客户验证、设计伙伴招募和B2B市场调研等场景。",2,"2026-07-15 02:30:03","CREATED_QUERY"]