Variance analysis
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.
npx -y skills add m-binimran/finance-pack --skill variance-analysisAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Run budget-vs-actual / forecast-vs-actual variance analysis (FP&A) - compute variances, find drivers, and recommend actions. Use for monthly/quarterly close, business reviews, or reforecasts.
SKILL.md
1.3 KB, as published. Nobody here has run it
variance-analysis
Explain the gap between plan and reality, then say what to do about it.
Process
- Compare actual vs. budget (and vs. prior/forecast) by line item: revenue, COGS, opex, EBITDA. Compute the variance ($ and %) and flag material ones.
- Decompose drivers: price vs. volume vs. mix on revenue; rate vs. usage on costs; one-offs vs. structural.
- Favorable vs. unfavorable - and is it timing (will reverse) or permanent?
- Root cause + owner for each material variance.
- Action / reforecast: what changes for the rest of the year; update the outlook.
Output
- A variance table (actual / budget / variance $ / variance % / driver / timing-vs-permanent / action) and a short narrative on the material movers, plus any reforecast.
Guardrails
- Actuals from the GL/close (sourced); don't fabricate a variance or driver.
- Materiality threshold stated; reforecast figures labeled as estimates (
projections-assumptions). - Confidential internal data stays internal (
confidentiality-mnpi).