{
  "schemaVersion": "1.0",
  "item": {
    "slug": "afrexai-churn-analyzer",
    "name": "Churn Risk Analyzer",
    "source": "tencent",
    "type": "skill",
    "category": "数据分析",
    "sourceUrl": "https://clawhub.ai/1kalin/afrexai-churn-analyzer",
    "canonicalUrl": "https://clawhub.ai/1kalin/afrexai-churn-analyzer",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/afrexai-churn-analyzer",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-churn-analyzer",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "README.md",
      "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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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/afrexai-churn-analyzer"
    },
    "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/afrexai-churn-analyzer",
    "agentPageUrl": "https://openagent3.xyz/skills/afrexai-churn-analyzer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/afrexai-churn-analyzer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/afrexai-churn-analyzer/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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Churn Risk Analyzer",
        "body": "Identify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions."
      },
      {
        "title": "When to Use",
        "body": "Customer success reviews\nQuarterly retention planning\nWhen usage data or support ticket logs are available\nProactive outreach prioritization"
      },
      {
        "title": "1. Gather Data",
        "body": "Ask the user for available data sources:\n\nUsage metrics (logins, feature adoption, API calls)\nSupport tickets (frequency, sentiment, resolution time)\nBilling history (downgrades, late payments, discount requests)\nEngagement signals (email opens, meeting attendance, NPS scores)\n\nIf no structured data, work from what the user describes qualitatively."
      },
      {
        "title": "2. Score Each Account",
        "body": "Apply this risk framework:\n\nSignalWeightHigh Risk IndicatorUsage decline (30d)25%>30% dropSupport ticket spike20%2x+ above baselineChampion departure20%Key contact leftContract timing15%<90 days to renewalPayment behavior10%Late/disputed invoicesEngagement drop10%No response to last 3 outreach\n\nScore: 0-100 (higher = more likely to churn)"
      },
      {
        "title": "3. Categorize",
        "body": "🔴 Critical (75-100): Immediate intervention needed\n🟡 At Risk (50-74): Schedule check-in this week\n🟢 Healthy (25-49): Monitor monthly\n💚 Thriving (0-24): Expansion opportunity"
      },
      {
        "title": "4. Recommend Actions",
        "body": "For each at-risk account, suggest specific retention plays:\n\nExecutive sponsor call\nCustom success plan\nFeature training session\nPricing review / loyalty offer\nRoadmap preview (show upcoming value)"
      },
      {
        "title": "5. Output",
        "body": "Generate a retention report with:\n\nRanked list of accounts by churn risk\nTop 3 actions per critical account\nEstimated revenue at risk\n30/60/90 day retention calendar"
      },
      {
        "title": "Integration Notes",
        "body": "Works with CSV exports, CRM data, or manual input\nPair with the AfrexAI Context Packs for industry-specific retention strategies ($47/pack)\nFor a full AI-powered retention system built for your business, try the AI Revenue Calculator to see what you're leaving on the table"
      }
    ],
    "body": "Churn Risk Analyzer\n\nIdentify customers most likely to churn before they leave. Uses behavioral signals, usage patterns, and engagement data to score accounts and recommend retention actions.\n\nWhen to Use\nCustomer success reviews\nQuarterly retention planning\nWhen usage data or support ticket logs are available\nProactive outreach prioritization\nHow It Works\n1. Gather Data\n\nAsk the user for available data sources:\n\nUsage metrics (logins, feature adoption, API calls)\nSupport tickets (frequency, sentiment, resolution time)\nBilling history (downgrades, late payments, discount requests)\nEngagement signals (email opens, meeting attendance, NPS scores)\n\nIf no structured data, work from what the user describes qualitatively.\n\n2. Score Each Account\n\nApply this risk framework:\n\nSignal\tWeight\tHigh Risk Indicator\nUsage decline (30d)\t25%\t>30% drop\nSupport ticket spike\t20%\t2x+ above baseline\nChampion departure\t20%\tKey contact left\nContract timing\t15%\t<90 days to renewal\nPayment behavior\t10%\tLate/disputed invoices\nEngagement drop\t10%\tNo response to last 3 outreach\n\nScore: 0-100 (higher = more likely to churn)\n\n3. Categorize\n🔴 Critical (75-100): Immediate intervention needed\n🟡 At Risk (50-74): Schedule check-in this week\n🟢 Healthy (25-49): Monitor monthly\n💚 Thriving (0-24): Expansion opportunity\n4. Recommend Actions\n\nFor each at-risk account, suggest specific retention plays:\n\nExecutive sponsor call\nCustom success plan\nFeature training session\nPricing review / loyalty offer\nRoadmap preview (show upcoming value)\n5. Output\n\nGenerate a retention report with:\n\nRanked list of accounts by churn risk\nTop 3 actions per critical account\nEstimated revenue at risk\n30/60/90 day retention calendar\nIntegration Notes\nWorks with CSV exports, CRM data, or manual input\nPair with the AfrexAI Context Packs for industry-specific retention strategies ($47/pack)\nFor a full AI-powered retention system built for your business, try the AI Revenue Calculator to see what you're leaving on the table"
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/1kalin/afrexai-churn-analyzer",
    "publisherUrl": "https://clawhub.ai/1kalin/afrexai-churn-analyzer",
    "owner": "1kalin",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/afrexai-churn-analyzer",
    "downloadUrl": "https://openagent3.xyz/downloads/afrexai-churn-analyzer",
    "agentUrl": "https://openagent3.xyz/skills/afrexai-churn-analyzer/agent",
    "manifestUrl": "https://openagent3.xyz/skills/afrexai-churn-analyzer/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/afrexai-churn-analyzer/agent.md"
  }
}