/analyzing-spreadsheets
Processes Excel spreadsheet files (.xlsx, .xlsm, .csv). Creates workbooks, builds formulas, preserves formatting, analyzes tabular data, and validates financial models with zero-formula-error delivery. Use when working with spreadsheet files or tabular data analysis. Do NOT use
$ npx -y skills add telagod/code-abyss --skill analyzing-spreadsheets --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
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/analyzing-spreadsheets
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Processes Excel spreadsheet files (.xlsx, .xlsm, .csv). Creates workbooks, builds formulas, preserves formatting, analyzes tabular data, and validates financial models with zero-formula-error delivery. Use when working with spreadsheet files or tabular data analysis. Do NOT use
SKILL.md
analyzing-spreadsheets.SKILL.mdname: analyzing-spreadsheets
description: Processes Excel spreadsheet files (.xlsx, .xlsm, .csv). Creates workbooks, builds formulas, preserves formatting, analyzes tabular data, and validates financial models with zero-formula-error delivery. Use when working with spreadsheet files or tabular data analysis. Do NOT use for Word documents, PDFs, presentations, or database pipelines.
user-invocable: false
allowed-tools: Bash, Read, Write, Edit, Glob
argument-hint: <file.xlsx | task>
XLSX Processing
Create, edit, analyze `.xlsx` files. LibreOffice required for formula recalculation via `recalc.py`.
Iron Rule
**Zero formula errors at delivery.** All formulas must compute — no `#REF!`, `#DIV/0!`, `#VALUE!`, `#N/A`, `#NAME?`. Always run `recalc.py` after writing formulas.
Decision Matrix
| Task | Tool | Reference | |------|------|-----------| | Data analysis, bulk ops, simple export | pandas | [recipes.md](references/recipes.md) | | Formulas, formatting, Excel features | openpyxl | [recipes.md](references/recipes.md) | | Financial model standards | — | [financial-model.md](references/financial-model.md) | | Recalculate formulas | `recalc.py` | [recipes.md](references/recipes.md) |
Common Workflow
1. **Choose tool**: pandas for data, openpyxl for formulas/formatting 2. **Create/Load** workbook 3. **Modify** data, formulas, formatting 4. **Save** 5. **Recalculate** (MANDATORY if formulas): `python recalc.py output.xlsx` 6. **Verify & fix errors** — check JSON output, fix `#REF!` / `#DIV/0!` / `#VALUE!` / `#NAME?`
Hard Constraints
- **Use formulas, not hardcoded values** — calculations stay dynamic. See [recipes.md](references/recipes.md#critical-use-formulas-not-hardcoded-values).
- **Preserve existing templates** — match existing format/style EXACTLY when updating; user template overrides defaults.
- **Financial models** — follow color/format conventions in [financial-model.md](references/financial-model.md).
Code Style
- Concise Python, no unnecessary comments or print statements.
- Excel files: comment cells with complex formulas, document hardcode sources.
Read more
name: analyzing-spreadsheets description: Processes Excel spreadsheet files (.xlsx, .xlsm, .csv). Creates workbooks, builds formulas, preserves formatting, analyzes tabular data, and validates financial models with zero-formula-error delivery. Use when working with spreadsheet files or tabular data analysis. Do NOT use for Word documents, PDFs, presentations, or database pipelines. user-invocable: false allowed-tools: Bash, Read, Write, Edit, Glob argument-hint: <file.xlsx | task>
XLSX Processing
Create, edit, analyze `.xlsx` files. LibreOffice required for formula recalculation via `recalc.py`.
Iron Rule
**Zero formula errors at delivery.** All formulas must compute — no `#REF!`, `#DIV/0!`, `#VALUE!`, `#N/A`, `#NAME?`. Always run `recalc.py` after writing formulas.
Decision Matrix
| Task | Tool | Reference | |------|------|-----------| | Data analysis, bulk ops, simple export | pandas | [recipes.md](references/recipes.md) | | Formulas, formatting, Excel features | openpyxl | [recipes.md](references/recipes.md) | | Financial model standards | — | [financial-model.md](references/financial-model.md) | | Recalculate formulas | `recalc.py` | [recipes.md](references/recipes.md) |
Common Workflow
1. **Choose tool**: pandas for data, openpyxl for formulas/formatting 2. **Create/Load** workbook 3. **Modify** data, formulas, formatting 4. **Save** 5. **Recalculate** (MANDATORY if formulas): `python recalc.py output.xlsx` 6. **Verify & fix errors** — check JSON output, fix `#REF!` / `#DIV/0!` / `#VALUE!` / `#NAME?`
Hard Constraints
- **Use formulas, not hardcoded values** — calculations stay dynamic. See [recipes.md](references/recipes.md#critical-use-formulas-not-hardcoded-values).
- **Preserve existing templates** — match existing format/style EXACTLY when updating; user template overrides defaults.
- **Financial models** — follow color/format conventions in [financial-model.md](references/financial-model.md).
Code Style
- Concise Python, no unnecessary comments or print statements.
- Excel files: comment cells with complex formulas, document hardcode sources.
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Repo: telagod/code-abyss
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