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Kelly Finance

skill-mr-kelly-skills-kelly-finance · by mr-kelly

Build, analyze, repair, and audit finance three-statement models and operating forecasts. Use when the user invokes $kelly-finance, asks for 财务三表, 三表模型, income statement, balance sheet, cash flow statement, forecast model, budget model, financial projections, FP&A model, SaaS/unit economics forecast, fundraising model, board finance pack, investor model, model checks, balance-sheet balancing, cas…

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Install

$ agentstack add skill-mr-kelly-skills-kelly-finance

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Kelly Finance

Overview

Use this skill as a practical FP&A and corporate-finance modeling desk. It builds clean three-statement models, turns assumptions into forecast tables, audits model logic, and explains finance outputs in English or Chinese.

For spreadsheet file creation or editing, also use the local spreadsheet/xlsx tooling if available. This skill owns the finance logic, modeling structure, checks, and presentation standard.

Default interaction mode: App UI. Unless the user explicitly asks for chat-only handling, generate or load the local model snapshot, start/reuse the local app with app/start.sh, and give the actual local URL. Use chat-only mode only when the user says "纯聊天", "chat only", "不要打开 UI", or similar.

Boundary

  • The skill may build local workbooks, inspect local workbook/export files, normalize assumptions, write local model snapshots, and draft model-review recommendations.
  • The app reads and writes local files only. It must not connect to banks/accounting systems, send files, mutate ERP records, move money, or change external systems.
  • Treat financial models and assumptions as sensitive. Do not commit config.local.json, env files, app/.data/, private workbook exports, statements, customer/vendor data, or execution reports.
  • Any external action, such as sending a model to investors or changing source-of-truth books, is approval-required and executed outside the app by the agent after human review.

Local App

Start the model review desk with:

skills/kelly-finance/app/start.sh

The app uses local HTTP on 127.0.0.1, preferring ports 3000 through 4000, or KELLY_FINANCE_UI_PORT when set.

Views:

  • #/overview: model KPI dashboard, forecast table, and top model checks.
  • #/checks and #/checks/: review queue for formula ties, model quality issues, and delivery notes. Users can approve, request changes, block, or dismiss each check.
  • #/workbook: generated workbook path and tab contract.
  • #/settings: sanitized config summary, onboarding marker, lock, and data provider.

Demo mode:

  • ?demo=1 opens a deterministic offline model for screenshots and review.
  • lang=en or lang=zh forces UI chrome language.
  • Demo responses never read or write files under app/.data/; demo decisions stay in the browser.

File Contract

Read references/finance-ui-schema.md before editing the app, scripts, or generated model snapshots.

Primary local files:

  • app/.data/model_snapshot.json: canonical model dashboard and check queue.
  • app/.data/decisions.json: user verdicts and notes keyed by check id.
  • app/.data/agent_tasks.json: queued agent work for changes_requested checks.
  • app/.data/execution_report.json: dry-run/apply handoff report for approved checks.
  • app/.data/onboarding.json: onboarding completion marker.
  • app/.data/agent.lock: temporary lock while the skill generates or executes.
  • config.local.json: private company/model defaults, ignored by git.

Use node scripts/validate_ui_schema.ts app/.data/model_snapshot.json before relying on a snapshot in the UI.

Default Workflow

  1. Clarify the model purpose only when needed: fundraising, board reporting, budget, acquisition, cash runway, lender package, or operating plan.
  2. Identify the business model: SaaS, marketplace, ecommerce, services, consumer app, asset-heavy, or generic operating company.
  3. Ask for missing high-impact inputs, but proceed with clearly labeled assumptions when the user wants speed.
  4. Build or review the three statements in this order: assumptions, income statement, balance sheet, cash flow, checks.
  5. Keep formulas auditable: drivers on assumptions tabs, calculations in schedules/statements, no hardcoded constants hidden inside formulas.
  6. Add checks before presenting: balance sheet balances, cash roll-forward ties, net income flows to retained earnings, depreciation ties to PP&E, debt schedule ties to interest/debt balances, and working capital changes tie to balance-sheet movements.
  7. Summarize key outputs: revenue, gross margin, EBITDA, net income, ending cash, cash runway, debt, free cash flow, and any broken checks.
  8. Start/reuse the App UI and route the user to #/checks for human review unless the user asked for chat-only.

Create A Three-Statement Template

Use scripts/build_three_statement_model.py for a dependency-free Excel starter model:

python3 skills/kelly-finance/scripts/build_three_statement_model.py \
  --output /tmp/three_statement_model.xlsx \
  --company "ExampleCo" \
  --start-year 2026 \
  --years 5 \
  --currency USD \
  --base-revenue 1000000

The script creates an .xlsx workbook with:

  • Assumptions: operating, working-capital, capex, debt, tax, dividend, and opening balance assumptions.
  • Income Statement: revenue through net income.
  • Balance Sheet: cash, working capital, PP&E, debt, equity, and balance check.
  • Cash Flow: CFO, capex, financing, dividends, and ending cash.
  • Checks: high-level model-integrity checks.

After generating, open or inspect the workbook when possible. If the user needs a polished investor-facing model, add formatting, scenario cases, and relevant operating schedules after the starter model is created.

Review Or Repair A Model

When reviewing an existing workbook:

  • Preserve user formulas and formatting unless asked to rebuild.
  • First map sheets, time axis, linked statements, hardcodes, and check rows.
  • Find the actual source of a mismatch before changing formulas.
  • Use a separate Checks or Audit tab if the workbook lacks one.
  • Never force a balance-sheet plug without labeling it and explaining why it is temporary.

Use references/three-statement-modeling.md for the review checklist, forecast-driver conventions, and model quality bar.

Modeling Standards

  • Use positive revenue and expense rows with clear sign labels; cash-flow outflows should be negative.
  • Separate historical actuals from forecast periods when actuals are supplied.
  • Use named scenarios or assumption columns for base/downside/upside cases instead of duplicating whole models.
  • State whether currency values are units, thousands, or millions.
  • Mark estimates as assumptions, not facts.
  • Treat user financial data as sensitive. Do not commit private models, exports, statements, or customer/vendor-level finance data.

Common Outputs

  • Three-statement forecast workbook.
  • Lightweight cash runway model.
  • Monthly budget or annual operating plan.
  • SaaS metrics pack: ARR, MRR, churn, NRR, CAC, LTV, gross margin, burn, runway.
  • Board/investor finance summary.
  • Model audit report with broken checks and recommended fixes.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.