monthly-financials
Skill17 starsChanged 9 months agoMITView on GitHub
Turn your bookkeeper's export into actionable runway insights. Process month-end financials, compare actuals to projections, and generate variance analysis.
In this repository20 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 33
Use /coach to help analyze the data
- Distinctive: line 34
Create a simple projection model in your spreadsheet
- Distinctive: line 38
Check back for the generalized version, or watch the repo for updates.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Monthly Financials
Coming Soon
This skill is being generalized for public release. It will help you:
- Process month-end financial exports from your bookkeeper
- Aggregate accounts into meaningful categories
- Compare actuals to your runway projections
- Generate variance analysis and insights
- Track burn rate trends over time
What It Will Do
Input: Monthly financials export (Excel/CSV from your bookkeeper)
Output:
- Categorized spending by department/function
- Comparison to your budget/projections
- Variance explanations for significant differences
- Updated runway calculations
- Action items for cost management
In the Meantime
For month-end financial processing:
- Export your financials from your bookkeeper (Kruze, Pilot, etc.)
- Use
/coachto help analyze the data - Create a simple projection model in your spreadsheet
When Available
Check back for the generalized version, or watch the repo for updates.
This skill is being adapted from a company-specific implementation. ETA: TBD
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
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Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

