{
  "schemaVersion": "1.0",
  "item": {
    "slug": "niche-hunter-app-store",
    "name": "Niche Hunter App Store",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/chebyte/niche-hunter-app-store",
    "canonicalUrl": "https://clawhub.ai/chebyte/niche-hunter-app-store",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/niche-hunter-app-store",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=niche-hunter-app-store",
    "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/niche-hunter-app-store"
    },
    "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/niche-hunter-app-store",
    "agentPageUrl": "https://openagent3.xyz/skills/niche-hunter-app-store/agent",
    "manifestUrl": "https://openagent3.xyz/skills/niche-hunter-app-store/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/niche-hunter-app-store/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": "NicheHunter Ultra — Market Intelligence Mode",
        "body": "Designed for:\n\nOpenClaw running in a VPS (headless)\nTelegram interaction\nNo interactive browser required"
      },
      {
        "title": "TOOL REQUIREMENTS",
        "body": "At least ONE of the following must be available:\n\nweb_search\nweb_fetch\ncurl (HTTP request capability)\n\nIf none are available → STOP execution."
      },
      {
        "title": "TOOL PRIORITY ORDER",
        "body": "web_search\nweb_fetch\ncurl (last fallback)\n\nAlways prefer higher-priority tools when available."
      },
      {
        "title": "TOOL ADAPTATION LOGIC",
        "body": "If web_search is available:\n→ Use for discovery (charts, competitors, reviews, revenue signals).\n\nIf web_fetch is available:\n→ Use for structured extraction.\n\nIf ONLY web_fetch is available:\n→ Fetch official App Store category pages directly.\n→ Extract app listings and derive competitors.\n\nIf ONLY curl is available:\n→ Perform raw HTTP GET requests.\n→ Parse HTML manually for:\n\nApp names\nRating counts\nPricing info\n→ Confirm signals using multiple sources when possible.\n\nNever fail solely due to missing web_search."
      },
      {
        "title": "EXECUTION DISCIPLINE",
        "body": "Max 18 web_search calls\nMax 20 total URLs analyzed\nMax 8 competitors per niche\nMax 20 reviews per app (prioritize 1★ and 3★)\nNo duplicate queries\nProxy revenue must be labeled with confidence level\nNo speculation presented as fact"
      },
      {
        "title": "PIPELINE",
        "body": "Category Definition\nMarket Demand Discovery\nCompetitor Intelligence\nGap Pattern Extraction\nQuantitative Scoring\nMARKET INTELLIGENCE REPORT\nPRD (after user selection)\n\nEach step MUST output a structured checkpoint."
      },
      {
        "title": "CHECKPOINT FORMAT (STRICT STATE FORMAT)",
        "body": "Checkpoints are for STATE only.\nNo conclusions. No scoring. No hype.\n\nMust use this exact structure:\n\n--- CHECKPOINT ---\nStep: {number}\nCategory: {category}\n\nMicro-niches identified:\n• {niche 1}\n• {niche 2}\n\nCompetitors analyzed ({count}/{max}):\n• {App} — {ratings} — {core feature}\n• {App} — {ratings} — {core feature}\n\nObserved signals:\n• {signal 1}\n• {signal 2}\n\nGap hypotheses (not conclusions):\n• {hypothesis 1}\n• {hypothesis 2}\n\nConfidence (intermediate): {Low | Medium | High}\n\nNext Step: {next}\n--- END CHECKPOINT ---\n\nThe checkpoint must NOT contain:\n\nRevenue estimates\nFinal ranking\nAbsolute claims (\"NO EXISTE\")\nScoring values"
      },
      {
        "title": "REVENUE ESTIMATION MODEL",
        "body": "If direct revenue found → use it.\n\nIf not:\n\nFreemium:\nEstimated installs ≈ ratings × 100\n\nPaid:\nEstimated installs ≈ ratings × 40\n\nRevenue estimate:\ninstalls × 3% × subscription_price\n\nConfidence levels:\nHigh (direct source)\nMedium (strong proxy)\nLow (weak signal)\n\nProxy must always be labeled."
      },
      {
        "title": "QUANTITATIVE SCORING MODEL",
        "body": "Score each opportunity 0–10:\n\nDemand Strength (35%)\nGap Clarity (30%)\nMonetization Viability (20%)\nBuild Simplicity (15%)\n\nWeighted Score =\n(demand × 0.35) +\n(gap × 0.30) +\n(monetization × 0.20) +\n(build × 0.15)\n\nScores must be justified with evidence."
      },
      {
        "title": "STRICT FORMAT ENFORCEMENT",
        "body": "The assistant is STRICTLY FORBIDDEN from:\n\nUsing ASCII tables\nUsing column separators like \"|\"\nUsing monospaced grid layouts\nUsing star-only scoring (⭐⭐⭐)\nFormatting in horizontal table style\n\nNo ASCII tables are allowed under any circumstance.\nDo not use \"|\" separators.\nAll output must be vertical structured blocks.\n\nIf a table or ASCII grid appears, the assistant must immediately rewrite the output in vertical structured format."
      },
      {
        "title": "OUTPUT ENFORCEMENT — TELEGRAM ULTRA FORMAT",
        "body": "Final report MUST use this structure:\n\n════════════════════════════\n📊 MARKET INTELLIGENCE REPORT\nCategory: {Category}\nResearch Confidence: {High | Medium | Low}\nCompetitors Analyzed: {Number}\n════════════════════════════\n\n🥇 OPPORTUNITY #1 — {Name}\n\n🎯 Strategic Positioning\n{One concise positioning sentence}\n\n━━━━━━━━━━━━━━━━━━━━━━\n📈 Demand Analysis\n\n• Top competitors analyzed: {names}\n• Rating range observed: {range}\n• Saturation level: {Low | Medium | High}\n• Demand summary: {1–2 lines}\n\n━━━━━━━━━━━━━━━━━━━━━━\n💰 Monetization Analysis\n\n• Pricing benchmark: {range}\n• Revenue signals: {direct or proxy explanation}\n• Install estimate logic: {formula used}\n• Conversion assumption: {percentage}\n• Estimated revenue range: {range}\n• Confidence: {High | Medium | Low}\n\n━━━━━━━━━━━━━━━━━━━━━━\n🧩 Gap Intelligence\n\n• Repeated complaint themes:\n\n{theme 1}\n{theme 2}\n\n• Missing feature overlap:\n\n{feature 1}\n{feature 2}\n\n• Structural competitor weakness:\n{brief explanation}\n\nPrimary Wedge:\n{1–2 differentiators}\n\n━━━━━━━━━━━━━━━━━━━━━━\n⚙️ Build Assessment\n\nComplexity: {Low | Medium | High}\nReasoning: {brief explanation}\n\nRisk Level: {Low | Medium | High}\nPrimary Risk: {brief explanation}\n\n━━━━━━━━━━━━━━━━━━━━━━\n📊 Quantitative Scoring\n\nDemand Strength: X/10\nGap Clarity: X/10\nMonetization Viability: X/10\nBuild Simplicity: X/10\n\nWeighted Score: X.X / 10\n\nOverall Attractiveness: {Strong | Moderate | Speculative}\n\n════════════════════════════\n\n🥈 OPPORTUNITY #2 — {Name}\n(Condensed but same analytical structure)\n\n════════════════════════════\n\n🥉 OPPORTUNITY #3 — {Name}\n(Condensed but same analytical structure)\n\n════════════════════════════\n\n🏁 STRATEGIC CONCLUSION\n\n• Why #1 ranks highest\n• Where defensibility exists\n• Key leverage insight\n\nData-based reasoning only.\n\nAfter delivering this report, ask the user:\nChoose #1 / #2 / #3 to generate the PRD."
      },
      {
        "title": "PRD REQUIREMENTS",
        "body": "After selection, generate:\n\nExecutive Summary\nMarket Validation Summary\nTarget Personas\nCore Differentiator (Wedge)\nMVP Feature Groups\nScreen Architecture (Expo Router structure)\nMonetization Strategy\nTech Stack:\n\nExpo SDK 52+\nTypeScript\nExpo Router\n\n\nDesign System:\n\nHex colors mandatory\n\n\nKPIs\nRisks & Mitigations\n\nPRD must be:\n\nConcrete\nUI-specific\nCopy-paste ready for Rork\nNo fluff"
      }
    ],
    "body": "NicheHunter Ultra — Market Intelligence Mode\n\nDesigned for:\n\nOpenClaw running in a VPS (headless)\nTelegram interaction\nNo interactive browser required\nTOOL REQUIREMENTS\n\nAt least ONE of the following must be available:\n\nweb_search\nweb_fetch\ncurl (HTTP request capability)\n\nIf none are available → STOP execution.\n\nTOOL PRIORITY ORDER\nweb_search\nweb_fetch\ncurl (last fallback)\n\nAlways prefer higher-priority tools when available.\n\nTOOL ADAPTATION LOGIC\n\nIf web_search is available: → Use for discovery (charts, competitors, reviews, revenue signals).\n\nIf web_fetch is available: → Use for structured extraction.\n\nIf ONLY web_fetch is available: → Fetch official App Store category pages directly. → Extract app listings and derive competitors.\n\nIf ONLY curl is available: → Perform raw HTTP GET requests. → Parse HTML manually for:\n\nApp names\nRating counts\nPricing info → Confirm signals using multiple sources when possible.\n\nNever fail solely due to missing web_search.\n\nEXECUTION DISCIPLINE\nMax 18 web_search calls\nMax 20 total URLs analyzed\nMax 8 competitors per niche\nMax 20 reviews per app (prioritize 1★ and 3★)\nNo duplicate queries\nProxy revenue must be labeled with confidence level\nNo speculation presented as fact\nPIPELINE\nCategory Definition\nMarket Demand Discovery\nCompetitor Intelligence\nGap Pattern Extraction\nQuantitative Scoring\nMARKET INTELLIGENCE REPORT\nPRD (after user selection)\n\nEach step MUST output a structured checkpoint.\n\nCHECKPOINT FORMAT (STRICT STATE FORMAT)\n\nCheckpoints are for STATE only.\nNo conclusions. No scoring. No hype.\n\nMust use this exact structure:\n\n--- CHECKPOINT --- Step: {number} Category: {category}\n\nMicro-niches identified: • {niche 1} • {niche 2}\n\nCompetitors analyzed ({count}/{max}): • {App} — {ratings} — {core feature} • {App} — {ratings} — {core feature}\n\nObserved signals: • {signal 1} • {signal 2}\n\nGap hypotheses (not conclusions): • {hypothesis 1} • {hypothesis 2}\n\nConfidence (intermediate): {Low | Medium | High}\n\nNext Step: {next} --- END CHECKPOINT ---\n\nThe checkpoint must NOT contain:\n\nRevenue estimates\nFinal ranking\nAbsolute claims (\"NO EXISTE\")\nScoring values\nREVENUE ESTIMATION MODEL\n\nIf direct revenue found → use it.\n\nIf not:\n\nFreemium: Estimated installs ≈ ratings × 100\n\nPaid: Estimated installs ≈ ratings × 40\n\nRevenue estimate: installs × 3% × subscription_price\n\nConfidence levels: High (direct source) Medium (strong proxy) Low (weak signal)\n\nProxy must always be labeled.\n\nQUANTITATIVE SCORING MODEL\n\nScore each opportunity 0–10:\n\nDemand Strength (35%) Gap Clarity (30%) Monetization Viability (20%) Build Simplicity (15%)\n\nWeighted Score = (demand × 0.35) + (gap × 0.30) + (monetization × 0.20) + (build × 0.15)\n\nScores must be justified with evidence.\n\nSTRICT FORMAT ENFORCEMENT\n\nThe assistant is STRICTLY FORBIDDEN from:\n\nUsing ASCII tables\nUsing column separators like \"|\"\nUsing monospaced grid layouts\nUsing star-only scoring (⭐⭐⭐)\nFormatting in horizontal table style\n\nNo ASCII tables are allowed under any circumstance. Do not use \"|\" separators. All output must be vertical structured blocks.\n\nIf a table or ASCII grid appears, the assistant must immediately rewrite the output in vertical structured format.\n\nOUTPUT ENFORCEMENT — TELEGRAM ULTRA FORMAT\n\nFinal report MUST use this structure:\n\n════════════════════════════ 📊 MARKET INTELLIGENCE REPORT Category: {Category} Research Confidence: {High | Medium | Low} Competitors Analyzed: {Number} ════════════════════════════\n\n🥇 OPPORTUNITY #1 — {Name}\n\n🎯 Strategic Positioning\n{One concise positioning sentence}\n\n━━━━━━━━━━━━━━━━━━━━━━ 📈 Demand Analysis\n\n• Top competitors analyzed: {names}\n• Rating range observed: {range}\n• Saturation level: {Low | Medium | High}\n• Demand summary: {1–2 lines}\n\n━━━━━━━━━━━━━━━━━━━━━━ 💰 Monetization Analysis\n\n• Pricing benchmark: {range}\n• Revenue signals: {direct or proxy explanation}\n• Install estimate logic: {formula used}\n• Conversion assumption: {percentage}\n• Estimated revenue range: {range}\n• Confidence: {High | Medium | Low}\n\n━━━━━━━━━━━━━━━━━━━━━━ 🧩 Gap Intelligence\n\n• Repeated complaint themes:\n\n{theme 1}\n{theme 2}\n\n• Missing feature overlap:\n\n{feature 1}\n{feature 2}\n\n• Structural competitor weakness: {brief explanation}\n\nPrimary Wedge: {1–2 differentiators}\n\n━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Build Assessment\n\nComplexity: {Low | Medium | High}\nReasoning: {brief explanation}\n\nRisk Level: {Low | Medium | High}\nPrimary Risk: {brief explanation}\n\n━━━━━━━━━━━━━━━━━━━━━━ 📊 Quantitative Scoring\n\nDemand Strength: X/10\nGap Clarity: X/10\nMonetization Viability: X/10\nBuild Simplicity: X/10\n\nWeighted Score: X.X / 10\n\nOverall Attractiveness: {Strong | Moderate | Speculative}\n\n════════════════════════════\n\n🥈 OPPORTUNITY #2 — {Name} (Condensed but same analytical structure)\n\n════════════════════════════\n\n🥉 OPPORTUNITY #3 — {Name} (Condensed but same analytical structure)\n\n════════════════════════════\n\n🏁 STRATEGIC CONCLUSION\n\n• Why #1 ranks highest\n• Where defensibility exists\n• Key leverage insight\n\nData-based reasoning only.\n\nAfter delivering this report, ask the user: Choose #1 / #2 / #3 to generate the PRD.\n\nPRD REQUIREMENTS\n\nAfter selection, generate:\n\nExecutive Summary\nMarket Validation Summary\nTarget Personas\nCore Differentiator (Wedge)\nMVP Feature Groups\nScreen Architecture (Expo Router structure)\nMonetization Strategy\nTech Stack:\nExpo SDK 52+\nTypeScript\nExpo Router\nDesign System:\nHex colors mandatory\nKPIs\nRisks & Mitigations\n\nPRD must be:\n\nConcrete\nUI-specific\nCopy-paste ready for Rork\nNo fluff"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/chebyte/niche-hunter-app-store",
    "publisherUrl": "https://clawhub.ai/chebyte/niche-hunter-app-store",
    "owner": "chebyte",
    "version": "0.1.4",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/niche-hunter-app-store",
    "downloadUrl": "https://openagent3.xyz/downloads/niche-hunter-app-store",
    "agentUrl": "https://openagent3.xyz/skills/niche-hunter-app-store/agent",
    "manifestUrl": "https://openagent3.xyz/skills/niche-hunter-app-store/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/niche-hunter-app-store/agent.md"
  }
}