# Send Accounts Receivable Manager to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text 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. ``` ### Upgrade existing ```text 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. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "afrexai-accounts-receivable", "name": "Accounts Receivable Manager", "source": "tencent", "type": "skill", "category": "效率提升", "sourceUrl": "https://clawhub.ai/1kalin/afrexai-accounts-receivable", "canonicalUrl": "https://clawhub.ai/1kalin/afrexai-accounts-receivable", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/afrexai-accounts-receivable", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=afrexai-accounts-receivable", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "README.md", "SKILL.md" ], "downloadMode": "redirect", "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-accounts-receivable" }, "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." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/afrexai-accounts-receivable", "downloadUrl": "https://openagent3.xyz/downloads/afrexai-accounts-receivable", "agentUrl": "https://openagent3.xyz/skills/afrexai-accounts-receivable/agent", "manifestUrl": "https://openagent3.xyz/skills/afrexai-accounts-receivable/agent.json", "briefUrl": "https://openagent3.xyz/skills/afrexai-accounts-receivable/agent.md" } } ``` ## Documentation ### Accounts Receivable Manager Automate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting. ### What It Does AR Aging Report — Bucket outstanding invoices by 0-30, 31-60, 61-90, 90+ days with risk scoring Collection Priority Queue — Rank overdue accounts by amount × days × risk for optimal follow-up order Payment Reminder Drafts — Generate professional escalation emails (friendly → firm → final notice → collections) Cash Application Matching — Match incoming payments to open invoices with variance handling Bad Debt Forecasting — Predict write-offs using historical payment patterns and aging trends DSO Tracking — Calculate Days Sales Outstanding with trend analysis and benchmarks by industry ### How to Use Tell your agent what you need: "Run an AR aging analysis for our open invoices" "Prioritize our collection queue — what should we chase first?" "Draft a 60-day overdue reminder for [client name]" "Our DSO is 47 days — how does that compare to SaaS benchmarks?" "Forecast bad debt exposure for Q1" ### AR Aging Buckets BucketRisk LevelActionCurrent (0-30)LowMonitor31-60 daysMediumFriendly reminder61-90 daysHighEscalation call + written notice90+ daysCriticalFinal demand → collections/write-off review ### Collection Priority Formula Priority Score = (Invoice Amount × 0.4) + (Days Overdue × 0.3) + (Customer Risk Score × 0.3) Customer Risk Score (1-10) based on: Payment history (avg days to pay) Number of past-due invoices Credit limit utilization Industry default rates ### Day 1 (Invoice Due) Subject: Invoice #[NUM] — Payment Due Today Tone: Friendly, informational ### Day 7 (1 Week Overdue) Subject: Friendly Reminder — Invoice #[NUM] Past Due Tone: Warm but clear ### Day 30 (1 Month Overdue) Subject: Payment Required — Invoice #[NUM] Now 30 Days Past Due Tone: Professional, firm ### Day 60 (2 Months Overdue) Subject: Urgent — Invoice #[NUM] Significantly Overdue Tone: Serious, mention late fees / service impact ### Day 90+ (Final Notice) Subject: Final Notice — Invoice #[NUM] Requires Immediate Payment Tone: Formal, mention collections referral ### DSO Benchmarks by Industry IndustryGood DSOAverage DSOPoor DSOSaaS / Software<3030-45>60Professional Services<3535-55>70Manufacturing<4040-60>75Construction<4545-70>90Healthcare<3535-50>65 ### Bad Debt Forecasting Model Estimate write-off probability by aging bucket: Current: 1-2% default rate 31-60 days: 5-8% 61-90 days: 15-25% 90-120 days: 30-50% 120+ days: 50-80% Apply to outstanding amounts for expected loss provision. ### Cash Application Rules Exact match — Payment amount matches one open invoice exactly Combination match — Payment matches sum of multiple invoices Short payment — Payment < invoice amount → flag for dispute/deduction review Overpayment — Payment > invoice → apply to oldest open balance or issue credit Unidentified — No match found → hold in suspense, research within 48 hours ### Output Format When generating AR reports, include: Total AR outstanding Aging distribution ($ and %) Top 10 overdue accounts by priority score DSO current vs. 3-month trend Estimated bad debt exposure Recommended actions (who to call, what to send) ### Take It Further This skill handles AR analysis and workflows. For full financial operations automation: AI Agent Context Packs — Industry-specific agent configs for Fintech, Professional Services, SaaS, and more ($47 each) AI Revenue Leak Calculator — Find where your business is losing money to manual processes Agent Setup Wizard — Get your AI agent configured in minutes Built by AfrexAI — operational AI for businesses that run on results, not hype. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: 1kalin - Version: 1.0.0 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/afrexai-accounts-receivable) - [Send to Agent page](https://openagent3.xyz/skills/afrexai-accounts-receivable/agent) - [JSON manifest](https://openagent3.xyz/skills/afrexai-accounts-receivable/agent.json) - [Markdown brief](https://openagent3.xyz/skills/afrexai-accounts-receivable/agent.md) - [Download page](https://openagent3.xyz/downloads/afrexai-accounts-receivable)