{
  "schemaVersion": "1.0",
  "item": {
    "slug": "ai-recruitment-talent-scout",
    "name": "AI Recruitment & Talent Scout Engine — Build Your Shortlist in 10 Minutes",
    "source": "tencent",
    "type": "skill",
    "category": "开发工具",
    "sourceUrl": "https://clawhub.ai/g4dr/ai-recruitment-talent-scout",
    "canonicalUrl": "https://clawhub.ai/g4dr/ai-recruitment-talent-scout",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/ai-recruitment-talent-scout",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=ai-recruitment-talent-scout",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/ai-recruitment-talent-scout"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/ai-recruitment-talent-scout",
    "agentPageUrl": "https://openagent3.xyz/skills/ai-recruitment-talent-scout/agent",
    "manifestUrl": "https://openagent3.xyz/skills/ai-recruitment-talent-scout/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/ai-recruitment-talent-scout/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "👥 AI Recruitment & Talent Scout Engine",
        "body": "Slug: ai-recruitment-talent-scout\nCategory: HR / Talent Acquisition\nPowered by: Apify + Claude AI\n\nInput a job role + criteria. Get a ranked shortlist of pre-qualified candidates — scraped from LinkedIn, GitHub, and job boards — with AI-scored profiles, personalized outreach messages, and full contact details. Hire faster than any recruiter alive."
      },
      {
        "title": "💥 Why This Skill Is a Goldmine on ClawHub",
        "body": "Recruitment agencies charge $15,000–$30,000 per hire. In-house HR teams spend 23 days on average to fill a single position. This skill does the same work in under 10 minutes.\n\nEvery startup, scale-up, agency, HR consultant, and freelance recruiter is your target. That's one of the largest B2B markets on earth.\n\nWhat gets automated:\n\n🔍 Scrape hundreds of matching candidate profiles from LinkedIn, GitHub & job boards\n🎯 AI-score each candidate against your exact criteria (0–100 fit score)\n📊 Enrich profiles with skills, experience, location, availability signals\n📬 Generate hyper-personalized outreach messages per candidate\n🏆 Deliver a ranked shortlist of your top 10 candidates ready to contact\n💡 Detect passive candidates — people not actively looking but open to opportunities"
      },
      {
        "title": "🛠️ Apify Actors Used",
        "body": "ActorIDPurposeLinkedIn Profile Scraperdev_fusion/linkedin-profile-scraperCandidate profiles, experience, skillsLinkedIn Jobs Scrapercurious_coder/linkedin-jobs-scraperActive job seekers & recent moversGitHub Scraperapify/github-scraperTop developers by tech stack & activityIndeed Scrapermisceres/indeed-scraperCandidates actively looking for workHunter.io Email Findermisceres/prospectin-email-finderVerified professional email addressesGoogle Search Scraperapify/google-search-scraperPersonal websites, portfolios, press mentions"
      },
      {
        "title": "⚙️ Full Workflow",
        "body": "INPUT: Job title + required skills + location + seniority + compensation range\n        ↓\nSTEP 1 — Multi-Platform Candidate Sourcing\n  └─ LinkedIn: profiles matching title + skills + location\n  └─ GitHub: developers ranked by activity, stars, tech stack\n  └─ Indeed: active job seekers with matching experience\n        ↓\nSTEP 2 — Profile Enrichment\n  └─ Current role, company, tenure, career trajectory\n  └─ Skills detected, certifications, education\n  └─ Availability signals (recent job change? open to work badge?)\n        ↓\nSTEP 3 — AI Fit Scoring (0–100 per candidate)\n  └─ Skills match vs requirements\n  └─ Career trajectory (growing or stagnating?)\n  └─ Seniority level alignment\n  └─ Location & remote compatibility\n  └─ Culture fit signals (company types, industries worked in)\n        ↓\nSTEP 4 — Contact Details Extraction\n  └─ Professional email (verified)\n  └─ LinkedIn URL, GitHub, portfolio, personal site\n        ↓\nSTEP 5 — Claude AI Generates Personalized Outreach\n  └─ LinkedIn DM: short, specific, human — referencing their actual work\n  └─ Email: 5-line max, compelling hook, clear opportunity\n  └─ Follow-up message: for non-responders at Day 5\n        ↓\nOUTPUT: Ranked shortlist of top 10 candidates + full profiles + outreach messages\n        (JSON / CSV / Notion-ready)"
      },
      {
        "title": "📥 Inputs",
        "body": "{\n  \"job\": {\n    \"title\": \"Senior Full-Stack Engineer\",\n    \"required_skills\": [\"React\", \"Node.js\", \"PostgreSQL\", \"AWS\"],\n    \"nice_to_have\": [\"TypeScript\", \"Docker\", \"GraphQL\"],\n    \"seniority\": \"senior\",\n    \"location\": \"London or Remote (EU timezone)\",\n    \"remote\": true,\n    \"compensation\": \"$90,000 - $130,000\"\n  },\n  \"company\": {\n    \"name\": \"YourStartup\",\n    \"stage\": \"Series A\",\n    \"industry\": \"FinTech\",\n    \"culture_keywords\": [\"fast-paced\", \"product-led\", \"no bureaucracy\"]\n  },\n  \"sourcing\": {\n    \"platforms\": [\"linkedin\", \"github\", \"indeed\"],\n    \"max_candidates\": 100,\n    \"exclude_companies\": [\"Google\", \"Meta\", \"Amazon\"],\n    \"min_experience_years\": 4\n  },\n  \"apify_token\": \"YOUR_APIFY_TOKEN\"\n}"
      },
      {
        "title": "📤 Output Example",
        "body": "{\n  \"search_summary\": {\n    \"role\": \"Senior Full-Stack Engineer\",\n    \"candidates_sourced\": 94,\n    \"candidates_scored\": 94,\n    \"shortlist_count\": 10,\n    \"avg_fit_score\": 81,\n    \"run_time_minutes\": 7\n  },\n  \"shortlist\": [\n    {\n      \"rank\": 1,\n      \"fit_score\": 96,\n      \"fit_label\": \"🔥 Exceptional Match\",\n      \"name\": \"Alex Morgan\",\n      \"current_role\": \"Full-Stack Engineer @ Revolut\",\n      \"experience_years\": 6,\n      \"location\": \"London, UK\",\n      \"skills_matched\": [\"React\", \"Node.js\", \"PostgreSQL\", \"AWS\", \"TypeScript\", \"Docker\"],\n      \"skills_missing\": [],\n      \"availability_signal\": \"Liked 3 startup job posts in last 14 days — likely open to move\",\n      \"github\": {\n        \"url\": \"github.com/alexmorgan\",\n        \"stars\": 847,\n        \"top_repos\": [\"react-dashboard-kit\", \"node-auth-boilerplate\"],\n        \"last_commit\": \"2 days ago\",\n        \"activity_level\": \"🟢 Very Active\"\n      },\n      \"contact\": {\n        \"linkedin\": \"linkedin.com/in/alex-morgan-dev\",\n        \"email\": \"alex.morgan@gmail.com\",\n        \"portfolio\": \"alexmorgan.dev\"\n      },\n      \"why_they_win\": \"6 years full-stack, currently at a FinTech scale-up (directly relevant), all required skills matched, highly active on GitHub with quality open-source work, showing passive job-seeking signals.\",\n      \"outreach\": {\n        \"linkedin_dm\": \"Hey Alex — saw your work on react-dashboard-kit, really clean architecture. We're building something similar at YourStartup (Series A FinTech, London) and looking for a senior full-stack engineer who can own the frontend infrastructure. Would love to share what we're working on — worth a quick chat?\",\n        \"email_subject\": \"Senior Full-Stack role @ YourStartup — saw your GitHub work\",\n        \"email_body\": \"Hi Alex,\\n\\nYour react-dashboard-kit repo caught my eye — exactly the kind of clean, scalable React work we need at YourStartup.\\n\\nWe're a Series A FinTech in London building [one-line pitch]. Looking for a Senior Full-Stack Engineer to own our core product infrastructure.\\n\\nStack: React, Node.js, PostgreSQL, AWS — your exact wheelhouse.\\n\\nComp: $90K-$130K + equity. Remote-friendly (EU timezone).\\n\\nWorth 20 minutes to hear more?\\n\\n[Your name]\",\n        \"followup_day5\": \"Hey Alex — just circling back on this. Happy to share more details on what we're building if useful. No pressure either way!\"\n      }\n    },\n    {\n      \"rank\": 2,\n      \"fit_score\": 91,\n      \"fit_label\": \"🔥 Excellent Match\",\n      \"name\": \"Sarah Chen\",\n      \"current_role\": \"Full-Stack Developer @ Monzo\",\n      \"experience_years\": 5,\n      \"location\": \"Remote (UK-based)\",\n      \"skills_matched\": [\"React\", \"Node.js\", \"PostgreSQL\", \"AWS\", \"TypeScript\"],\n      \"skills_missing\": [\"Docker\"],\n      \"availability_signal\": \"Updated LinkedIn profile 8 days ago — strong signal\",\n      \"contact\": {\n        \"linkedin\": \"linkedin.com/in/sarah-chen-fullstack\",\n        \"email\": \"sarah.chen.dev@gmail.com\"\n      },\n      \"why_they_win\": \"5 years at two top UK FinTechs, recently updated her profile (strong availability signal), missing only Docker which is nice-to-have only.\"\n    }\n  ],\n  \"talent_market_insights\": {\n    \"avg_time_to_hire_this_role\": \"34 days (market average)\",\n    \"candidate_supply\": \"Medium — 94 matches found, market not oversaturated\",\n    \"avg_compensation_market\": \"$85,000 - $125,000 (your offer is competitive)\",\n    \"top_companies_to_poach_from\": [\"Revolut\", \"Monzo\", \"Wise\", \"Starling Bank\"],\n    \"best_outreach_day\": \"Tuesday or Wednesday morning\",\n    \"response_rate_benchmark\": \"18-24% for cold LinkedIn DMs in this role\"\n  }\n}"
      },
      {
        "title": "🧠 Claude AI Master Prompt",
        "body": "You are a world-class technical recruiter and talent acquisition specialist.\n\nCANDIDATE DATA FROM SCRAPING:\n{{candidates_raw_data}}\n\nJOB REQUIREMENTS:\n- Title: {{job_title}}\n- Required skills: {{required_skills}}\n- Nice to have: {{nice_to_have}}\n- Seniority: {{seniority}}\n- Location: {{location}}\n- Compensation: {{compensation}}\n\nCOMPANY PROFILE:\n- Name: {{company_name}}\n- Stage: {{company_stage}}\n- Industry: {{industry}}\n- Culture: {{culture_keywords}}\n\nFOR EACH CANDIDATE GENERATE:\n1. Fit score (0–100) based on: skills match (40%), experience (25%),\n   career trajectory (20%), availability signals (15%)\n2. Fit label: Exceptional (90+) / Excellent (80+) / Good (65+) / Weak (<65)\n3. Skills matched vs missing\n4. Availability signal (any passive job-seeking behavior detected)\n5. Why they win — 2-sentence honest assessment\n6. Outreach package:\n   - LinkedIn DM (max 80 words, reference something specific about their work)\n   - Email (subject + 5-line body max, mention their exact skills + your stack)\n   - Day 5 follow-up (2 lines, zero pressure)\n\nALSO GENERATE:\n- Talent market insights: supply level, avg compensation, best companies to source from\n- Recommended outreach timing\n\nRANK by fit score. Return top 10 only.\nOUTPUT: Valid JSON only. No markdown. No preamble."
      },
      {
        "title": "💰 Cost Estimate",
        "body": "SearchesApify CUCostCandidates Sourced1 role~55 CU~$0.55100 candidates5 roles~270 CU~$2.70500 candidates20 roles~1,080 CU~$10.802,000 candidates100 roles~5,400 CU~$5410,000 candidates\n\n💡 $5 free Apify credits on signup = your first 9 full recruitment searches completely free.\n👉 https://www.apify.com?fpr=dx06p"
      },
      {
        "title": "🔗 Who Makes a Fortune With This Skill",
        "body": "UserUse CaseRevenue PotentialRecruitment AgencyAutomate candidate sourcing for clients$15K–$30K per placementHR FreelancerOffer sourcing-as-a-service at $500–$2K/role$10K–$30K/monthStartup FounderHire without paying a recruiterSave $20K per hireHR ConsultantBundle into talent strategy package$5K–$15K per engagementHeadhunterSource passive candidates 10x faster3x more placements/monthVC-backed StartupRapid team scaling post-fundingHire 10 people in 30 days"
      },
      {
        "title": "📊 Why This Destroys LinkedIn Recruiter ($9,000/year)",
        "body": "FeatureLinkedIn RecruiterAI Talent Scout EngineSearch LinkedIn profiles✅✅Search GitHub for developers❌✅Search Indeed job seekers❌✅AI fit scoring (0–100)❌✅Personalized outreach per candidate❌✅Availability signal detection❌✅Talent market insights❌✅Annual cost$9,000/year~$0.55/search"
      },
      {
        "title": "🚀 Setup in 3 Steps",
        "body": "Step 1 — Get your Apify API Token\nSign up free → https://www.apify.com?fpr=dx06p\nGo to: Settings → Integrations → API Token\n\nStep 2 — Define your ideal candidate\nJob title, must-have skills, location, seniority, compensation range.\n\nStep 3 — Run & get your shortlist\nTop 10 ranked candidates with outreach messages ready in under 10 minutes."
      },
      {
        "title": "⚡ Pro Tips to Hire Faster & Better",
        "body": "Target candidates at your #2 competitor — they know the industry, proven skills, motivated to move\nGitHub activity = best signal for developers — daily commits beat any resume claim\nProfile updated in last 30 days = strong availability signal — prioritize these first\nSend outreach Tuesday–Thursday morning — 40% higher response rates than Monday/Friday\nAlways reference something specific — mention their repo, their company, their last post — generic DMs get ignored\nFollow up exactly once at Day 5 — no more, no less"
      },
      {
        "title": "🏷️ Tags",
        "body": "recruitment talent-acquisition hr sourcing linkedin github headhunting apify ai-recruiting passive-candidates startup-hiring talent-scout\n\nPowered by Apify + Claude AI"
      }
    ],
    "body": "👥 AI Recruitment & Talent Scout Engine\n\nSlug: ai-recruitment-talent-scout\nCategory: HR / Talent Acquisition\nPowered by: Apify + Claude AI\n\nInput a job role + criteria. Get a ranked shortlist of pre-qualified candidates — scraped from LinkedIn, GitHub, and job boards — with AI-scored profiles, personalized outreach messages, and full contact details. Hire faster than any recruiter alive.\n\n💥 Why This Skill Is a Goldmine on ClawHub\n\nRecruitment agencies charge $15,000–$30,000 per hire. In-house HR teams spend 23 days on average to fill a single position. This skill does the same work in under 10 minutes.\n\nEvery startup, scale-up, agency, HR consultant, and freelance recruiter is your target. That's one of the largest B2B markets on earth.\n\nWhat gets automated:\n\n🔍 Scrape hundreds of matching candidate profiles from LinkedIn, GitHub & job boards\n🎯 AI-score each candidate against your exact criteria (0–100 fit score)\n📊 Enrich profiles with skills, experience, location, availability signals\n📬 Generate hyper-personalized outreach messages per candidate\n🏆 Deliver a ranked shortlist of your top 10 candidates ready to contact\n💡 Detect passive candidates — people not actively looking but open to opportunities\n🛠️ Apify Actors Used\nActor\tID\tPurpose\nLinkedIn Profile Scraper\tdev_fusion/linkedin-profile-scraper\tCandidate profiles, experience, skills\nLinkedIn Jobs Scraper\tcurious_coder/linkedin-jobs-scraper\tActive job seekers & recent movers\nGitHub Scraper\tapify/github-scraper\tTop developers by tech stack & activity\nIndeed Scraper\tmisceres/indeed-scraper\tCandidates actively looking for work\nHunter.io Email Finder\tmisceres/prospectin-email-finder\tVerified professional email addresses\nGoogle Search Scraper\tapify/google-search-scraper\tPersonal websites, portfolios, press mentions\n⚙️ Full Workflow\nINPUT: Job title + required skills + location + seniority + compensation range\n        ↓\nSTEP 1 — Multi-Platform Candidate Sourcing\n  └─ LinkedIn: profiles matching title + skills + location\n  └─ GitHub: developers ranked by activity, stars, tech stack\n  └─ Indeed: active job seekers with matching experience\n        ↓\nSTEP 2 — Profile Enrichment\n  └─ Current role, company, tenure, career trajectory\n  └─ Skills detected, certifications, education\n  └─ Availability signals (recent job change? open to work badge?)\n        ↓\nSTEP 3 — AI Fit Scoring (0–100 per candidate)\n  └─ Skills match vs requirements\n  └─ Career trajectory (growing or stagnating?)\n  └─ Seniority level alignment\n  └─ Location & remote compatibility\n  └─ Culture fit signals (company types, industries worked in)\n        ↓\nSTEP 4 — Contact Details Extraction\n  └─ Professional email (verified)\n  └─ LinkedIn URL, GitHub, portfolio, personal site\n        ↓\nSTEP 5 — Claude AI Generates Personalized Outreach\n  └─ LinkedIn DM: short, specific, human — referencing their actual work\n  └─ Email: 5-line max, compelling hook, clear opportunity\n  └─ Follow-up message: for non-responders at Day 5\n        ↓\nOUTPUT: Ranked shortlist of top 10 candidates + full profiles + outreach messages\n        (JSON / CSV / Notion-ready)\n\n📥 Inputs\n{\n  \"job\": {\n    \"title\": \"Senior Full-Stack Engineer\",\n    \"required_skills\": [\"React\", \"Node.js\", \"PostgreSQL\", \"AWS\"],\n    \"nice_to_have\": [\"TypeScript\", \"Docker\", \"GraphQL\"],\n    \"seniority\": \"senior\",\n    \"location\": \"London or Remote (EU timezone)\",\n    \"remote\": true,\n    \"compensation\": \"$90,000 - $130,000\"\n  },\n  \"company\": {\n    \"name\": \"YourStartup\",\n    \"stage\": \"Series A\",\n    \"industry\": \"FinTech\",\n    \"culture_keywords\": [\"fast-paced\", \"product-led\", \"no bureaucracy\"]\n  },\n  \"sourcing\": {\n    \"platforms\": [\"linkedin\", \"github\", \"indeed\"],\n    \"max_candidates\": 100,\n    \"exclude_companies\": [\"Google\", \"Meta\", \"Amazon\"],\n    \"min_experience_years\": 4\n  },\n  \"apify_token\": \"YOUR_APIFY_TOKEN\"\n}\n\n📤 Output Example\n{\n  \"search_summary\": {\n    \"role\": \"Senior Full-Stack Engineer\",\n    \"candidates_sourced\": 94,\n    \"candidates_scored\": 94,\n    \"shortlist_count\": 10,\n    \"avg_fit_score\": 81,\n    \"run_time_minutes\": 7\n  },\n  \"shortlist\": [\n    {\n      \"rank\": 1,\n      \"fit_score\": 96,\n      \"fit_label\": \"🔥 Exceptional Match\",\n      \"name\": \"Alex Morgan\",\n      \"current_role\": \"Full-Stack Engineer @ Revolut\",\n      \"experience_years\": 6,\n      \"location\": \"London, UK\",\n      \"skills_matched\": [\"React\", \"Node.js\", \"PostgreSQL\", \"AWS\", \"TypeScript\", \"Docker\"],\n      \"skills_missing\": [],\n      \"availability_signal\": \"Liked 3 startup job posts in last 14 days — likely open to move\",\n      \"github\": {\n        \"url\": \"github.com/alexmorgan\",\n        \"stars\": 847,\n        \"top_repos\": [\"react-dashboard-kit\", \"node-auth-boilerplate\"],\n        \"last_commit\": \"2 days ago\",\n        \"activity_level\": \"🟢 Very Active\"\n      },\n      \"contact\": {\n        \"linkedin\": \"linkedin.com/in/alex-morgan-dev\",\n        \"email\": \"alex.morgan@gmail.com\",\n        \"portfolio\": \"alexmorgan.dev\"\n      },\n      \"why_they_win\": \"6 years full-stack, currently at a FinTech scale-up (directly relevant), all required skills matched, highly active on GitHub with quality open-source work, showing passive job-seeking signals.\",\n      \"outreach\": {\n        \"linkedin_dm\": \"Hey Alex — saw your work on react-dashboard-kit, really clean architecture. We're building something similar at YourStartup (Series A FinTech, London) and looking for a senior full-stack engineer who can own the frontend infrastructure. Would love to share what we're working on — worth a quick chat?\",\n        \"email_subject\": \"Senior Full-Stack role @ YourStartup — saw your GitHub work\",\n        \"email_body\": \"Hi Alex,\\n\\nYour react-dashboard-kit repo caught my eye — exactly the kind of clean, scalable React work we need at YourStartup.\\n\\nWe're a Series A FinTech in London building [one-line pitch]. Looking for a Senior Full-Stack Engineer to own our core product infrastructure.\\n\\nStack: React, Node.js, PostgreSQL, AWS — your exact wheelhouse.\\n\\nComp: $90K-$130K + equity. Remote-friendly (EU timezone).\\n\\nWorth 20 minutes to hear more?\\n\\n[Your name]\",\n        \"followup_day5\": \"Hey Alex — just circling back on this. Happy to share more details on what we're building if useful. No pressure either way!\"\n      }\n    },\n    {\n      \"rank\": 2,\n      \"fit_score\": 91,\n      \"fit_label\": \"🔥 Excellent Match\",\n      \"name\": \"Sarah Chen\",\n      \"current_role\": \"Full-Stack Developer @ Monzo\",\n      \"experience_years\": 5,\n      \"location\": \"Remote (UK-based)\",\n      \"skills_matched\": [\"React\", \"Node.js\", \"PostgreSQL\", \"AWS\", \"TypeScript\"],\n      \"skills_missing\": [\"Docker\"],\n      \"availability_signal\": \"Updated LinkedIn profile 8 days ago — strong signal\",\n      \"contact\": {\n        \"linkedin\": \"linkedin.com/in/sarah-chen-fullstack\",\n        \"email\": \"sarah.chen.dev@gmail.com\"\n      },\n      \"why_they_win\": \"5 years at two top UK FinTechs, recently updated her profile (strong availability signal), missing only Docker which is nice-to-have only.\"\n    }\n  ],\n  \"talent_market_insights\": {\n    \"avg_time_to_hire_this_role\": \"34 days (market average)\",\n    \"candidate_supply\": \"Medium — 94 matches found, market not oversaturated\",\n    \"avg_compensation_market\": \"$85,000 - $125,000 (your offer is competitive)\",\n    \"top_companies_to_poach_from\": [\"Revolut\", \"Monzo\", \"Wise\", \"Starling Bank\"],\n    \"best_outreach_day\": \"Tuesday or Wednesday morning\",\n    \"response_rate_benchmark\": \"18-24% for cold LinkedIn DMs in this role\"\n  }\n}\n\n🧠 Claude AI Master Prompt\nYou are a world-class technical recruiter and talent acquisition specialist.\n\nCANDIDATE DATA FROM SCRAPING:\n{{candidates_raw_data}}\n\nJOB REQUIREMENTS:\n- Title: {{job_title}}\n- Required skills: {{required_skills}}\n- Nice to have: {{nice_to_have}}\n- Seniority: {{seniority}}\n- Location: {{location}}\n- Compensation: {{compensation}}\n\nCOMPANY PROFILE:\n- Name: {{company_name}}\n- Stage: {{company_stage}}\n- Industry: {{industry}}\n- Culture: {{culture_keywords}}\n\nFOR EACH CANDIDATE GENERATE:\n1. Fit score (0–100) based on: skills match (40%), experience (25%),\n   career trajectory (20%), availability signals (15%)\n2. Fit label: Exceptional (90+) / Excellent (80+) / Good (65+) / Weak (<65)\n3. Skills matched vs missing\n4. Availability signal (any passive job-seeking behavior detected)\n5. Why they win — 2-sentence honest assessment\n6. Outreach package:\n   - LinkedIn DM (max 80 words, reference something specific about their work)\n   - Email (subject + 5-line body max, mention their exact skills + your stack)\n   - Day 5 follow-up (2 lines, zero pressure)\n\nALSO GENERATE:\n- Talent market insights: supply level, avg compensation, best companies to source from\n- Recommended outreach timing\n\nRANK by fit score. Return top 10 only.\nOUTPUT: Valid JSON only. No markdown. No preamble.\n\n💰 Cost Estimate\nSearches\tApify CU\tCost\tCandidates Sourced\n1 role\t~55 CU\t~$0.55\t100 candidates\n5 roles\t~270 CU\t~$2.70\t500 candidates\n20 roles\t~1,080 CU\t~$10.80\t2,000 candidates\n100 roles\t~5,400 CU\t~$54\t10,000 candidates\n\n💡 $5 free Apify credits on signup = your first 9 full recruitment searches completely free.\n👉 https://www.apify.com?fpr=dx06p\n\n🔗 Who Makes a Fortune With This Skill\nUser\tUse Case\tRevenue Potential\nRecruitment Agency\tAutomate candidate sourcing for clients\t$15K–$30K per placement\nHR Freelancer\tOffer sourcing-as-a-service at $500–$2K/role\t$10K–$30K/month\nStartup Founder\tHire without paying a recruiter\tSave $20K per hire\nHR Consultant\tBundle into talent strategy package\t$5K–$15K per engagement\nHeadhunter\tSource passive candidates 10x faster\t3x more placements/month\nVC-backed Startup\tRapid team scaling post-funding\tHire 10 people in 30 days\n📊 Why This Destroys LinkedIn Recruiter ($9,000/year)\nFeature\tLinkedIn Recruiter\tAI Talent Scout Engine\nSearch LinkedIn profiles\t✅\t✅\nSearch GitHub for developers\t❌\t✅\nSearch Indeed job seekers\t❌\t✅\nAI fit scoring (0–100)\t❌\t✅\nPersonalized outreach per candidate\t❌\t✅\nAvailability signal detection\t❌\t✅\nTalent market insights\t❌\t✅\nAnnual cost\t$9,000/year\t~$0.55/search\n🚀 Setup in 3 Steps\n\nStep 1 — Get your Apify API Token\nSign up free → https://www.apify.com?fpr=dx06p\nGo to: Settings → Integrations → API Token\n\nStep 2 — Define your ideal candidate\nJob title, must-have skills, location, seniority, compensation range.\n\nStep 3 — Run & get your shortlist\nTop 10 ranked candidates with outreach messages ready in under 10 minutes.\n\n⚡ Pro Tips to Hire Faster & Better\nTarget candidates at your #2 competitor — they know the industry, proven skills, motivated to move\nGitHub activity = best signal for developers — daily commits beat any resume claim\nProfile updated in last 30 days = strong availability signal — prioritize these first\nSend outreach Tuesday–Thursday morning — 40% higher response rates than Monday/Friday\nAlways reference something specific — mention their repo, their company, their last post — generic DMs get ignored\nFollow up exactly once at Day 5 — no more, no less\n🏷️ Tags\n\nrecruitment talent-acquisition hr sourcing linkedin github headhunting apify ai-recruiting passive-candidates startup-hiring talent-scout\n\nPowered by Apify + Claude AI"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/g4dr/ai-recruitment-talent-scout",
    "publisherUrl": "https://clawhub.ai/g4dr/ai-recruitment-talent-scout",
    "owner": "g4dr",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/ai-recruitment-talent-scout",
    "downloadUrl": "https://openagent3.xyz/downloads/ai-recruitment-talent-scout",
    "agentUrl": "https://openagent3.xyz/skills/ai-recruitment-talent-scout/agent",
    "manifestUrl": "https://openagent3.xyz/skills/ai-recruitment-talent-scout/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/ai-recruitment-talent-scout/agent.md"
  }
}