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Analyzes all open quotes, ranks by expected close value, identifies stalled/dead deals using staleness scoring. Recommends next moves (follow-up, discount, convert, mark lost) for human review and execution.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | quote-acceleration |
| description | Analyzes all open quotes, ranks by expected close value, identifies stalled/dead deals using staleness scoring. Recommends next moves (follow-up, discount, convert, mark lost) for human review and execution. |
Rank your open quotes by revenue impact and identify which deals need attention this week.
Analyzes all open quotes to:
Markdown worklist ranked by revenue impact showing customer name, quote amount, days open, staleness score, expected close value, and recommended action.
Status flags: ✅ Accepted (convert now), ⚠️ Stalled (needs push), ☠️ Dead (mark lost)
✓ This skill analyzes and recommends ✗ This skill never modifies quotes, sends emails, or applies changes
All outputs are Markdown proposals for your team to review and execute in Zoho Billing.
See references/output-format.md and references/workflow-details.md for detailed examples and staleness algorithm.
Show Annual Recurring Revenue with QoQ and YoY trend and a growth trajectory. Use when the user asks about ARR, annual recurring revenue, annual run rate, or year-over-year revenue growth. Do NOT use for MRR, NRR, or monthly breakdowns.
Identify overdue invoices most likely heading toward write-off, while a save is still possible. Use when the user asks about bad debt, write-off risk, invoices unlikely to be recovered, or wants to see which AR is at risk of becoming bad debt. Do NOT use for general overdue lists or collections prioritisation.
List subscriptions whose payment card expires in the next 30 or 60 days, ranked by MRR at risk. Use when the user asks about expiring cards, cards about to expire, or wants to prevent involuntary churn from payment method expiry. Do NOT use for current payment failures or dunning analysis.
Show the full product catalog: all products, their plans with pricing and billing frequency, addons, and one-time items. Use when the user asks what plans are available, wants to see the product catalog, pricing, or available addons and items. Do NOT use for subscription status, customer-specific data, or coupon lookup.
Decompose churn into voluntary (customers who chose to leave) vs involuntary (failed payments) and identify which plans and products are driving losses. Use when the user asks why customers are churning, churn composition, voluntary vs involuntary split, or which products have the highest cancellation rate. Do NOT use for MRR, NRR, or retention rate questions.
Daily AR worklist: top 20 overdue invoices ranked by recovery probability (outstanding amount × payment-behaviour score). Use when the user asks who to chase for payments today, wants a collections prioritisation, or needs a daily AR action list. Do NOT use for aggregate overdue totals or bad-debt analysis.
