variance-analysis Skill
Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership. Published by anthropics in knowledge-work-plugins.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
24 days ago · Apache-2.0 license
No specific cautions were detected. Review the source and requested permissions before installing.
What is variance-analysis Skill?
Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership. Published by anthropics in knowledge-work-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: finance/skills/variance-analysis/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use variance-analysis Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/knowledge-work-plugins
- Skill file: finance/skills/variance-analysis/SKILL.md
What it does
Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs. actual, period-over-period changes, revenue or expense variances, or preparing variance commentary for leadership.
Skill instructions
Variance Analysis 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. Variance Decomposition Techniques Price / Volume Decomposition 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 -
Verified compatibility and discovery
Frequently asked questions
What is variance-analysis?
variance-analysis is a open-source AI agent skill with Copy skill directory. Decompose financial variances into drivers with narrative explanations and waterfall analysis. Use when analyzing budget vs.
Who is variance-analysis best for?
variance-analysis is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install variance-analysis?
Install or run variance-analysis using Copy skill directory. Check variance-analysis for the latest setup command.
Is variance-analysis actively maintained?
variance-analysis may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
