Break down financial variances into drivers with waterfall and narrative analysis.
The materials indicate this is an open-source, prompt-only/document-style skill with no required secrets, no declared remote endpoints, and no evident local execution or data access capabilities, so overall risk is low. The main uncertainty is limited community adoption and unknown maintenance status, but no concrete high-risk red flags are visible in the provided materials.
The materials explicitly state that no keys or environment variables are required, and the README does not request any API token, account authorization, or credential injection, so there is no evident credential exposure or abuse surface.
The system flags it as prompt-only and no remote endpoints are declared; based on the provided content, it appears to be an analysis methodology rather than something that sends user data to external services.
The available materials do not indicate that it starts local processes, runs scripts, invokes a shell, or requests system-level capabilities; it appears to be a text-based analytical skill rather than an executable tool.
There is no declared need to read or write local files, databases, cloud resources, or other protected data sources; the description suggests it only provides variance-analysis frameworks and narrative templates, with no sign of excessive data access.
It comes from an open-source GitHub repository and is auditable, which is a clear risk-reducing factor; however, the license is unspecified, community adoption is low (0 stars), and maintenance status is unknown, so the repository contents and update history should still be reviewed before production use.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "variance-analysis" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/knowledge-work-plugins/main/finance/skills/variance-analysis/SKILL.md 2. Save it as ~/.claude/skills/variance-analysis/SKILL.md 3. Reload skills and tell me it's ready
Analyze the following budget vs actual data. Decompose the variance into drivers such as price, volume, and cost mix, then produce leadership-ready commentary and a waterfall analysis framework: Budget revenue: 12.0M, actual revenue: 10.8M; budget gross margin: 35%, actual gross margin: 31%; budget marketing expense: 1.8M, actual: 2.1M.
A breakdown of revenue, margin, and expense variances with concise leadership commentary and a presentation-ready waterfall structure.
Compare this month’s operating results with last month’s. Identify the main drivers behind revenue and expense changes, and write variance commentary suitable for a monthly business review. Last month revenue: 9.5M, this month: 10.2M; last month personnel cost: 2.6M, this month: 2.75M; last month channel expense: 0.9M, this month: 1.2M.
Key drivers of month-over-month changes, ranked by impact, with meeting-ready narrative commentary.
I need a one-page financial variance briefing for leadership. Organize the following into a results-causes-recommendations structure and highlight the top three movements: revenue is 8% below budget mainly due to lower North region volume; raw material cost is 6% above budget mainly due to higher purchase prices; administrative expense is 4% below budget due to lower travel spending.
A leadership-friendly one-page variance summary with major movements, root causes, and recommended next steps.
Important: This skill assists with variance analysis workflows but does not provide financial advice. All analyses should be reviewed by qualified financial professionals before use in reporting.
Techniques for decomposing variances, materiality thresholds, narrative generation, waterfall chart methodology, and budget vs actual vs forecast comparisons.
The most fundamental variance decomposition. Used for revenue, cost of goods, and any metric that can be expressed as Price x Volume.
Formula:
Total Variance = Actual - Budget (or Prior)
Volume Effect = (Actual Volume - Budget Volume) x Budget Price
Price Effect = (Actual Price - Budget Price) x Actual Volume
Mix Effect = Residual (interaction term), or allocated proportionally
Verification: Volume Effect + Price Effect = Total Variance
(when mix is embedded in the price/volume terms)
Three-way decomposition (separating mix):
Volume Effect = (Actual Volume - Budget Volume) x Budget Price x Budget Mix
Price Effect = (Actual Price - Budget Price) x Budget Volume x Actual Mix
Mix Effect = Budget Price x Budget Volume x (Actual Mix - Budget Mix)
Example — Revenue variance:
Used when analyzing blended rates across segments with different unit economics.
Formula:
Rate Effect = Sum of (Actual Volume_i x (Actual Rate_i - Budget Rate_i))
Mix Effect = Sum of (Budget Rate_i x (Actual Volume_i - Expected Volume_i at Budget Mix))
Example — Gross margin variance:
Used for analyzing payroll and people-cost variances.
Total Comp Variance = Actual Compensation - Budget Compensation
Decompose into:
1. Headcount variance = (Actual HC - Budget HC) x Budget Avg Comp
2. Rate variance = (Actual Avg Comp - Budget Avg Comp) x Budget HC
3. Mix variance = Difference due to level/department mix shift
4. Timing variance = Hiring earlier/later than planned (partial-period effect)
5. Attrition impact = Savings from unplanned departures (partially offset by backfill costs)
Used for operating expense analysis when price/volume is not applicable.
Total OpEx Variance = Actual OpEx - Budget OpEx
Decompose by:
1. Headcount-driven costs (salaries, benefits, payroll taxes, recruiting)
2. Volume-driven costs (hosting, transaction fees, commissions, shipping)
3. Discretionary spend (travel, events, professional services, marketing programs)
4. Contractual/fixed costs (rent, insurance, software licenses, subscriptions)
5. One-time / non-recurring (severance, legal settlements, write-offs, project costs)
6. Timing / phasing (spend shifted between periods vs plan)
Materiality thresholds determine which variances require investigation and narrative explanation. Set thresholds based on:
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