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    "slug": "afrexai-accounts-receivable",
    "name": "Accounts Receivable Manager",
    "source": "tencent",
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      },
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  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Accounts Receivable Manager",
        "body": "Automate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting."
      },
      {
        "title": "What It Does",
        "body": "AR Aging Report — Bucket outstanding invoices by 0-30, 31-60, 61-90, 90+ days with risk scoring\nCollection Priority Queue — Rank overdue accounts by amount × days × risk for optimal follow-up order\nPayment Reminder Drafts — Generate professional escalation emails (friendly → firm → final notice → collections)\nCash Application Matching — Match incoming payments to open invoices with variance handling\nBad Debt Forecasting — Predict write-offs using historical payment patterns and aging trends\nDSO Tracking — Calculate Days Sales Outstanding with trend analysis and benchmarks by industry"
      },
      {
        "title": "How to Use",
        "body": "Tell your agent what you need:\n\n\"Run an AR aging analysis for our open invoices\"\n\"Prioritize our collection queue — what should we chase first?\"\n\"Draft a 60-day overdue reminder for [client name]\"\n\"Our DSO is 47 days — how does that compare to SaaS benchmarks?\"\n\"Forecast bad debt exposure for Q1\""
      },
      {
        "title": "AR Aging Buckets",
        "body": "BucketRisk LevelActionCurrent (0-30)LowMonitor31-60 daysMediumFriendly reminder61-90 daysHighEscalation call + written notice90+ daysCriticalFinal demand → collections/write-off review"
      },
      {
        "title": "Collection Priority Formula",
        "body": "Priority Score = (Invoice Amount × 0.4) + (Days Overdue × 0.3) + (Customer Risk Score × 0.3)\n\nCustomer Risk Score (1-10) based on:\n\nPayment history (avg days to pay)\nNumber of past-due invoices\nCredit limit utilization\nIndustry default rates"
      },
      {
        "title": "Day 1 (Invoice Due)",
        "body": "Subject: Invoice #[NUM] — Payment Due Today\nTone: Friendly, informational"
      },
      {
        "title": "Day 7 (1 Week Overdue)",
        "body": "Subject: Friendly Reminder — Invoice #[NUM] Past Due\nTone: Warm but clear"
      },
      {
        "title": "Day 30 (1 Month Overdue)",
        "body": "Subject: Payment Required — Invoice #[NUM] Now 30 Days Past Due\nTone: Professional, firm"
      },
      {
        "title": "Day 60 (2 Months Overdue)",
        "body": "Subject: Urgent — Invoice #[NUM] Significantly Overdue\nTone: Serious, mention late fees / service impact"
      },
      {
        "title": "Day 90+ (Final Notice)",
        "body": "Subject: Final Notice — Invoice #[NUM] Requires Immediate Payment\nTone: Formal, mention collections referral"
      },
      {
        "title": "DSO Benchmarks by Industry",
        "body": "IndustryGood DSOAverage DSOPoor DSOSaaS / Software<3030-45>60Professional Services<3535-55>70Manufacturing<4040-60>75Construction<4545-70>90Healthcare<3535-50>65"
      },
      {
        "title": "Bad Debt Forecasting Model",
        "body": "Estimate write-off probability by aging bucket:\n\nCurrent: 1-2% default rate\n31-60 days: 5-8%\n61-90 days: 15-25%\n90-120 days: 30-50%\n120+ days: 50-80%\n\nApply to outstanding amounts for expected loss provision."
      },
      {
        "title": "Cash Application Rules",
        "body": "Exact match — Payment amount matches one open invoice exactly\nCombination match — Payment matches sum of multiple invoices\nShort payment — Payment < invoice amount → flag for dispute/deduction review\nOverpayment — Payment > invoice → apply to oldest open balance or issue credit\nUnidentified — No match found → hold in suspense, research within 48 hours"
      },
      {
        "title": "Output Format",
        "body": "When generating AR reports, include:\n\nTotal AR outstanding\nAging distribution ($ and %)\nTop 10 overdue accounts by priority score\nDSO current vs. 3-month trend\nEstimated bad debt exposure\nRecommended actions (who to call, what to send)"
      },
      {
        "title": "Take It Further",
        "body": "This skill handles AR analysis and workflows. For full financial operations automation:\n\nAI Agent Context Packs — Industry-specific agent configs for Fintech, Professional Services, SaaS, and more ($47 each)\nAI Revenue Leak Calculator — Find where your business is losing money to manual processes\nAgent Setup Wizard — Get your AI agent configured in minutes\n\nBuilt by AfrexAI — operational AI for businesses that run on results, not hype."
      }
    ],
    "body": "Accounts Receivable Manager\n\nAutomate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting.\n\nWhat It Does\nAR Aging Report — Bucket outstanding invoices by 0-30, 31-60, 61-90, 90+ days with risk scoring\nCollection Priority Queue — Rank overdue accounts by amount × days × risk for optimal follow-up order\nPayment Reminder Drafts — Generate professional escalation emails (friendly → firm → final notice → collections)\nCash Application Matching — Match incoming payments to open invoices with variance handling\nBad Debt Forecasting — Predict write-offs using historical payment patterns and aging trends\nDSO Tracking — Calculate Days Sales Outstanding with trend analysis and benchmarks by industry\nHow to Use\n\nTell your agent what you need:\n\n\"Run an AR aging analysis for our open invoices\"\n\"Prioritize our collection queue — what should we chase first?\"\n\"Draft a 60-day overdue reminder for [client name]\"\n\"Our DSO is 47 days — how does that compare to SaaS benchmarks?\"\n\"Forecast bad debt exposure for Q1\"\nAR Aging Buckets\nBucket\tRisk Level\tAction\nCurrent (0-30)\tLow\tMonitor\n31-60 days\tMedium\tFriendly reminder\n61-90 days\tHigh\tEscalation call + written notice\n90+ days\tCritical\tFinal demand → collections/write-off review\nCollection Priority Formula\nPriority Score = (Invoice Amount × 0.4) + (Days Overdue × 0.3) + (Customer Risk Score × 0.3)\n\n\nCustomer Risk Score (1-10) based on:\n\nPayment history (avg days to pay)\nNumber of past-due invoices\nCredit limit utilization\nIndustry default rates\nPayment Reminder Escalation\nDay 1 (Invoice Due)\n\nSubject: Invoice #[NUM] — Payment Due Today Tone: Friendly, informational\n\nDay 7 (1 Week Overdue)\n\nSubject: Friendly Reminder — Invoice #[NUM] Past Due Tone: Warm but clear\n\nDay 30 (1 Month Overdue)\n\nSubject: Payment Required — Invoice #[NUM] Now 30 Days Past Due Tone: Professional, firm\n\nDay 60 (2 Months Overdue)\n\nSubject: Urgent — Invoice #[NUM] Significantly Overdue Tone: Serious, mention late fees / service impact\n\nDay 90+ (Final Notice)\n\nSubject: Final Notice — Invoice #[NUM] Requires Immediate Payment Tone: Formal, mention collections referral\n\nDSO Benchmarks by Industry\nIndustry\tGood DSO\tAverage DSO\tPoor DSO\nSaaS / Software\t<30\t30-45\t>60\nProfessional Services\t<35\t35-55\t>70\nManufacturing\t<40\t40-60\t>75\nConstruction\t<45\t45-70\t>90\nHealthcare\t<35\t35-50\t>65\nBad Debt Forecasting Model\n\nEstimate write-off probability by aging bucket:\n\nCurrent: 1-2% default rate\n31-60 days: 5-8%\n61-90 days: 15-25%\n90-120 days: 30-50%\n120+ days: 50-80%\n\nApply to outstanding amounts for expected loss provision.\n\nCash Application Rules\nExact match — Payment amount matches one open invoice exactly\nCombination match — Payment matches sum of multiple invoices\nShort payment — Payment < invoice amount → flag for dispute/deduction review\nOverpayment — Payment > invoice → apply to oldest open balance or issue credit\nUnidentified — No match found → hold in suspense, research within 48 hours\nOutput Format\n\nWhen generating AR reports, include:\n\nTotal AR outstanding\nAging distribution ($ and %)\nTop 10 overdue accounts by priority score\nDSO current vs. 3-month trend\nEstimated bad debt exposure\nRecommended actions (who to call, what to send)\nTake It Further\n\nThis skill handles AR analysis and workflows. For full financial operations automation:\n\nAI Agent Context Packs — Industry-specific agent configs for Fintech, Professional Services, SaaS, and more ($47 each)\nAI Revenue Leak Calculator — Find where your business is losing money to manual processes\nAgent Setup Wizard — Get your AI agent configured in minutes\n\nBuilt by AfrexAI — operational AI for businesses that run on results, not hype."
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    "owner": "1kalin",
    "version": "1.0.0",
    "license": null,
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