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Analyzing spreadsheets

Skill telagod/code-abyss/skills/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 for Word documents, PDFs, presentations, or database pipelines.From its SKILL.md

Install
npx -y skills add telagod/code-abyss --skill analyzing-spreadsheets

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • runs commandsInstructs the agent to run 1 command, including `python recalc.py output.xlsx`.

SKILL.md

2.1 KB, 409 tokens by cl100k_base, as published. Nobody here has run it

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

TaskToolReference
Data analysis, bulk ops, simple exportpandasrecipes.md
Formulas, formatting, Excel featuresopenpyxlrecipes.md
Financial model standards—financial-model.md
Recalculate formulasrecalc.pyrecipes.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.
  • Preserve existing templates — match existing format/style EXACTLY when updating; user template overrides defaults.
  • Financial models — follow color/format conventions in financial-model.md.

Code Style

  • Concise Python, no unnecessary comments or print statements.
  • Excel files: comment cells with complex formulas, document hardcode sources.

What ships with it: 3 files

12.7 KB alongside SKILL.md, 1 of them executable

references/

Gives 0 of the 12 instructions most pdf office docs skills give in 409 tokens

Counted across 569 of the 585 authors here whose files we hold, read 2026-09-06

  • Ensure every slide fits inside one viewportin 20 of 569, across 11 files
  • Check for product marketing context firstin 15 of 569, across 5 files
  • Ask for the minimum neededin 15 of 569, across 5 files
  • Set the API key environment variablein 15 of 569, across 10 files
  • Support keyboard and touch navigationin 14 of 569, across 5 files
  • Match the buyer stagein 13 of 569, across 3 files
  • Split overflowing content into multiple slidesin 12 of 569, across 3 files
  • Set page size explicitly for consistent resultsin 12 of 569, across 5 files
  • Convert documents to markdown using pandocin 12 of 569, across 6 files
  • Read STYLE_PRESETS.md before generatingin 12 of 569, across 7 files
  • Send multipart POST requests to the APIin 12 of 569, across 7 files
  • Use smart quotes for new contentin 11 of 569, across 4 files

Said here and by no other author read

  • Run recalc.py after writing formulas
  • Follow financial model conventions

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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