Finance Budget Variance Analysis
SkillCommerce & financeExplain actual versus budget or prior-period performance with materiality thresholds, driver logic, and management-ready conclusions.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Finance Budget Variance Analysis skill
What this skill tells your AI
The instructions your AI receives, as published by contextgo/contextgo in src/process/resources/skills/finance-analyst-pack/skills/finance-budget-variance-analysis/SKILL.md and read by ahel’s review.
Use this skill when the finance task is really about movement and explanation.
Use when
- The user asks why actuals missed or beat plan.
- Management wants a clean bridge from top-line movement to root drivers.
- You need a defensible explanation of variance rather than a raw table.
Do not use when
- There is no comparison basis.
- The movement is immaterial and the task is really just reporting.
- Source files are too inconsistent to tell whether the numbers align.
Variance rules
- Start with materiality, not with every line item.
- Favorable or unfavorable depends on the line type.
- Separate volume, price, mix, timing, and one-off effects where possible.
- Do not over-explain immaterial noise.
Workflow
1. Set the comparison frame
Clarify:
- actual vs budget, forecast, or prior period
- month, quarter, year, or rolling view
- the materiality threshold
If the threshold is not given, propose one and say so.
2. Identify the few variances that matter
Rank by:
- absolute dollar impact
- percentage deviation
- business relevance
The answer should center on the biggest drivers, not every row.
3. Explain the drivers
For each material variance, test whether it comes from:
- volume
- price or rate
- mix
- timing
- one-off or accounting reclassification
4. Close with control signals
End by stating:
- what is a short-term variance
- what is structural
- what needs operating follow-up
- what should change in the forecast
Output format
Return:
1. Variance frame
- comparison basis
- threshold
- scope
2. Material drivers
- line or area
- variance amount and direction
- likely explanation
- confidence level
3. Management readout
- what truly moved
- what is noise
- what follow-up or reforecast is needed
Use together with
finance-financial-statement-analysisoffice-source-reconciliationoffice-duckdb-query
Signals
- GitHub stars
- 54
- Forks
- 5
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
finance-budget-variance-analysis- Source
- github.com/contextgo/contextgo