
Cash Flow Snapshot
Pulls AR/AP from QuickBooks, PayPal, Stripe, or Square (or accepts a CSV if nothing's connected) and builds a 30/60/90 day cash forecast with confidence bands based on actual payment lag variance. It flags specific risks by name: late payers who shift invoices across windows, payroll dates that hit when the low-band estimate is underwater, customers with thin payment history. You get a chat summary and a three-sheet XLSX with inline transaction breakdowns under each forecast line so you can see what drives the numbers. Useful when someone asks "will I make payroll" or mentions runway. Read-only, no approval gates. The variance model defaults to plus or minus thirty percent when fewer than three payments exist for a given source.
- skills.sh installs
- 2K
- GitHub stars
- 35.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add anthropics/knowledge-work-plugins --skill cash-flow-snapshot --agent claude-codeInstalls into .claude/skills of the current project.
Files
Cash Flow Snapshot
Produces a 30/60/90-day cash flow forecast with percentage-variance confidence bands and named risk flags. Delivers a two-part output: a concise chat summary and a downloadable XLSX workbook.
Quick start
"Will I make payroll next month?"
Claude pulls the current bank balance, AR/AP, and fixed costs from connected sources, calculates expected inflows and outflows across 30, 60, and 90-day windows, applies confidence bands from each customer's payment variance, and flags specific risks by name.
Workflow
Step 1 — Identify available data sources
Check which connectors are live. Pull from every one that is, in one batch:
Sponsors
Details
- Repository
- github.com/anthropics/knowledge-work-plugins
- Categories
- Testing & QA, Productivity & Planning, Office & Documents, Finance & Trading
- First seen
- Jul 14, 2026
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