variance-analysis-three-way-comparison-framework
Sub-skill of variance-analysis: Three-Way Comparison Framework (+3).
Best use case
variance-analysis-three-way-comparison-framework is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of variance-analysis: Three-Way Comparison Framework (+3).
Teams using variance-analysis-three-way-comparison-framework should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/three-way-comparison-framework/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How variance-analysis-three-way-comparison-framework Compares
| Feature / Agent | variance-analysis-three-way-comparison-framework | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of variance-analysis: Three-Way Comparison Framework (+3).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Three-Way Comparison Framework (+3) ## Three-Way Comparison Framework | Metric | Budget | Forecast | Actual | Bud Var ($) | Bud Var (%) | Fcast Var ($) | Fcast Var (%) | |--------|--------|----------|--------|-------------|-------------|---------------|---------------| | Revenue | $X | $X | $X | $X | X% | $X | X% | | COGS | $X | $X | $X | $X | X% | $X | X% | | Gross Profit | $X | $X | $X | $X | X% | $X | X% | ## When to Use Each Comparison - **Actual vs Budget:** Annual performance measurement, compensation decisions, board reporting. Budget is set at the beginning of the year and typically not changed. - **Actual vs Forecast:** Operational management, identifying emerging issues. Forecast is updated periodically (monthly or quarterly) to reflect current expectations. - **Forecast vs Budget:** Understanding how expectations have changed since planning. Useful for identifying planning accuracy issues. - **Actual vs Prior Period:** Trend analysis, sequential performance. Useful when budget is not meaningful (new business lines, post-acquisition). - **Actual vs Prior Year:** Year-over-year growth analysis, seasonality-adjusted comparison. ## Forecast Accuracy Analysis Track how accurate forecasts are over time to improve planning: ``` Forecast Accuracy = 1 - |Actual - Forecast| / |Actual| MAPE (Mean Absolute Percentage Error) = Average of |Actual - Forecast| / |Actual| across periods ``` | Period | Forecast | Actual | Variance | Accuracy | |--------|----------|--------|----------|----------| | Jan | $X | $X | $X (X%) | XX% | | Feb | $X | $X | $X (X%) | XX% | | ... | ... | ... | ... | ... | | **Avg**| | | **MAPE** | **XX%** | ## Variance Trending Track how variances evolve over the year to identify systematic bias: - **Consistently favorable:** Budget may be too conservative (sandbagging) - **Consistently unfavorable:** Budget may be too aggressive or execution issues - **Growing unfavorable:** Deteriorating performance or unrealistic targets - **Shrinking variance:** Forecast accuracy improving through the year (normal pattern) - **Volatile:** Unpredictable business or poor forecasting methodology
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