Agent-Skills.md

Agent Skills: Excel Smart Extractor Skill

Use this skill to extract and analyze large Excel workbooks (1MB-50MB+) with minimal token usage. Losslessly extracts formulas, cell formatting, and complex tables while achieving 20-100x token reduction through local extraction, semantic chunking, and intelligent caching. Use when an .xlsx is too large for the context window (compliance matrices, financial models, audit logs).

UncategorizedID: diegocconsolini/ClaudeSkillCollection/xlsx-smart-extractor

Repository

diegocconsolini/ClaudeSkillCollection
diegocconsoliniLicense: MIT
6

Install this agent skill to your local

pnpm dlx add-skill https://github.com/diegocconsolini/ClaudeSkillCollection/tree/HEAD/xlsx-smart-extractor

Skill Files

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xlsx-smart-extractor/SKILL.md

Skill Metadata

Name
xlsx-smart-extractor
Description
Use this skill to extract and analyze large Excel workbooks (1MB-50MB+) with minimal token usage. Losslessly extracts formulas, cell formatting, and complex tables while achieving 20-100x token reduction through local extraction, semantic chunking, and intelligent caching. Use when an .xlsx is too large for the context window (compliance matrices, financial models, audit logs).

Excel Smart Extractor Skill

Extract once locally, query forever. Reduces token cost by loading only the relevant sheets/columns instead of an entire workbook.

Usage

# 1. Extract (one-time, local — caches to ~/.claude-cache/xlsx/)
python scripts/extract_xlsx.py workbook.xlsx

# 2. Chunk the extracted content
python scripts/chunk_sheets.py {cache_key}

# 3. Query / list
python scripts/query_xlsx.py search {cache_key} "your query"
python scripts/query_xlsx.py list

Requires openpyxl. Cache lives in ~/.claude-cache/xlsx/; extract, chunk, and query all resolve to that same location via the shared smart_cache library.