name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
日本語の概要は準備中です。原文の説明を表示しています。
Automate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Automate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting.
Tell your agent what you need:
| Bucket | Risk Level | Action |
|---|---|---|
| Current (0-30) | Low | Monitor |
| 31-60 days | Medium | Friendly reminder |
| 61-90 days | High | Escalation call + written notice |
| 90+ days | Critical | Final demand → collections/write-off review |
Priority Score = (Invoice Amount × 0.4) + (Days Overdue × 0.3) + (Customer Risk Score × 0.3)
Customer Risk Score (1-10) based on:
Subject: Invoice #[NUM] — Payment Due Today Tone: Friendly, informational
Subject: Friendly Reminder — Invoice #[NUM] Past Due Tone: Warm but clear
Subject: Payment Required — Invoice #[NUM] Now 30 Days Past Due Tone: Professional, firm
Subject: Urgent — Invoice #[NUM] Significantly Overdue Tone: Serious, mention late fees / service impact
Subject: Final Notice — Invoice #[NUM] Requires Immediate Payment Tone: Formal, mention collections referral
| Industry | Good DSO | Average DSO | Poor DSO |
|---|---|---|---|
| SaaS / Software | <30 | 30-45 | >60 |
| Professional Services | <35 | 35-55 | >70 |
| Manufacturing | <40 | 40-60 | >75 |
| Construction | <45 | 45-70 | >90 |
| Healthcare | <35 | 35-50 | >65 |
Estimate write-off probability by aging bucket:
Apply to outstanding amounts for expected loss provision.
When generating AR reports, include:
This skill handles AR analysis and workflows. For full financial operations automation:
Built by AfrexAI — operational AI for businesses that run on results, not hype.
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概要と使いどころ
name: 4d-compression-core version: 1.0.2 description: "把长内容压缩成结构化向量——节省 60-80% Token,保留核心信息" metadata: { "openclaw": { "emoji": "🌀", "requires": { "bins": ["jq", "awk"] }, "triggers": ["压缩", "4d",...
日本語の概要は準備中です。原文の説明を表示しています。
Use cheap, TEE-verified AI models from the 0G Compute Network as OpenClaw providers. Discover available models and compare pricing vs OpenRouter, verify provider integrity via hardware attestation (Intel TDX), manage your 0G wallet and sub-accounts, and configure models in OpenClaw with one workflow. Supports DeepSeek, GLM-5, Qwen, and other models available on the 0G marketplace.
日本語の概要は準備中です。原文の説明を表示しています。
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.
日本語の概要は準備中です。原文の説明を表示しています。
Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
日本語の概要は準備中です。原文の説明を表示しています。
Find and complete paid tasks on the 0xWork decentralized marketplace (Base chain, USDC escrow). Use when: the agent wants to earn money/USDC by doing work, discover available tasks, claim a bounty, submit deliverables, check earnings or wallet balance, or set up as a 0xWork worker. Task categories: Writing, Research, Social, Creative, Code, Data. NOT for: posting tasks (use the website), managing the 0xWork platform, or frontend development.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and practices that dramatically accelerate development velocity. Covers parallel execution, automation, feedback loops, workflow optimization, and anti-pattern avoidance. Use when starting projects, planning sprints, optimizing workflows, or onboarding developers.
日本語の概要は準備中です。原文の説明を表示しています。