tabular-review Skill
Tabular review — one row per document, one column per data point, every cell cited to source. Built for M&A diligence ("review these 200 target contracts for change-of-control, assignment, and MAC clauses") but works for any batch review that needs a spreadsheet out the other end. Use when user says "tabular review", " Published by anthropics in claude-for-legal.
What is tabular-review Skill?
Tabular review — one row per document, one column per data point, every cell cited to source. Built for M&A diligence ("review these 200 target contracts for change-of-control, assignment, and MAC clauses") but works for any batch review that needs a spreadsheet out the other end. Use when user says "tabular review", " Published by anthropics in claude-for-legal. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Documentation
- Data analysis
- Writing
- Documentation use cases
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use tabular-review Skill
- Use it for documentation.
- Use it for data analysis.
- Use it for writing.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/claude-for-legal
- Skill file: corporate-legal/skills/tabular-review/SKILL.md
What it does
Tabular review — one row per document, one column per data point, every cell cited to source. Built for M&A diligence ("review these 200 target contracts for change-of-control, assignment, and MAC clauses") but works for any batch review that needs a spreadsheet out the other end. Use when user says "tabular review", "
Skill instructions
/tabular-review 1. Load ~/.claude/plugins/config/claude-for-legal/corporate-legal/CLAUDE.md → diligence structure, thresholds, house format. 2. Confirm: what documents, what columns, where does the output go. 3. Build the typed schema. Write .review-schema.yaml. Confirm with the user. 4. Sample run (3–5 docs). Adjust schema. Confirm. 5. Fan out — one sub-agent per document, parallel. Each cell: value + state + verbatim quote + location. 6. Normalization pass. Flag outliers and inconsistencies. 7. Output: .xlsx or Google Sheets (ask which), plus .csv + sources.csv + markdown always. Work-product header. 8. Summary: verification workload (counts of notpresent / unclear / needsreview per column), flagged columns, where the files are, reminder that every cell is a lead not a finding. /corporate-legal:tabular-review /corporate-legal:tabular-review --schema .review-schema.yaml --docs ./vdr/02-Contracts/ /corporate-legal:tabular-review --template ma-diligence --schema <path: Use an existing s
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Frequently asked questions
What is tabular-review?
tabular-review is a open-source AI agent skill with Copy skill directory. Tabular review — one row per document, one column per data point, every cell cited to source.
Who is tabular-review best for?
tabular-review is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows, writing workflows.
How do I install tabular-review?
Install or run tabular-review using Copy skill directory. Check tabular-review for the latest setup command.
Is tabular-review actively maintained?
tabular-review may need a closer maintenance check before production use.
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