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Budget planning

Skill m-binimran/finance-pack/skills/budget-planning

Claude Code pack for financial analysts: data-integrity (citation), SEC/FINRA disclaimer, projection-labeling & MNPI/PII guardrails + skills for statement analysis, ratios, DCF/comps valuation, modeling, earnings, forecasting & FP&A, loops & review agents. Not investment advice.

Install
npx -y skills add m-binimran/finance-pack --skill budget-planning

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Build an annual operating budget / plan - revenue, headcount, opex, and cash - from drivers, with monthly phasing. Use for annual planning, departmental budgets, or a board plan.

SKILL.md

1.3 KB, as published. Nobody here has run it

budget-planning

A budget the business can be held to: driver-based, phased, and tied to the goals.

Process

  1. Top-down targets meet bottom-up build: reconcile leadership goals with what the drivers actually support.
  2. Revenue plan from drivers (pipeline, capacity, cohorts) - not a flat growth %.
  3. Headcount plan: roles, timing, fully-loaded cost - usually the biggest opex line; phase hires realistically.
  4. Opex by department/category; separate fixed vs. variable; tie to the revenue plan.
  5. Phasing: spread to months (seasonality, hire dates, campaign timing) - not 1/12 flat.
  6. Cash & runway: the cash impact and, for startups, burn/runway.
  7. Set up variance tracking so actuals can be compared later (variance-analysis).

Output

  • The budget (revenue, headcount, opex, EBITDA, cash) by month, with the driver assumptions and the top-down/bottom-up reconciliation - all labeled as a plan/estimate.

Guardrails

  • Plan figures are estimates with assumptions (projections-assumptions); base on sourced historicals.
  • Realistic phasing + capacity checks (methodology); internal data stays confidential.

Keep looking

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