Extracts structured data from PDF and DOCX documents into an Excel matrix with citations. Useful for contract review, document comparison, and creating review matrices.
How this skill is triggered — by the user, by Claude, or both
Slash command
/tabular-review-lawvable:tabular-review-lawvableThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Extract structured data from multiple documents into an Excel matrix with citations.
Extract structured data from multiple documents into an Excel matrix with citations.
Use AskUserQuestion to collect:
Example column definitions:
- Parties: Names of all parties to the agreement
- Effective Date: When the agreement becomes effective
- Term: Duration of the agreement
- Governing Law: Jurisdiction for disputes
Use Glob to find all documents:
Glob(pattern: "**/*.pdf", path: "<folder>")
Glob(pattern: "**/*.docx", path: "<folder>")
Launch background agents to process documents concurrently. Each agent:
Launch agents:
Task(
prompt: "<agent_prompt>",
subagent_type: "general-purpose",
run_in_background: true
)
Agent prompt template:
You are processing documents for a tabular review.
DOCUMENTS TO PROCESS:
<list of document paths>
COLUMNS TO EXTRACT:
<column definitions>
For each document:
1. Read the document using the pdf skill (for .pdf) or docx skill (for .docx)
2. Extract the requested information for each column
3. Note the page number (PDF) or section (DOCX) where you found the information
4. Include a brief quote (30-50 chars) showing the source text
Return your results as JSON:
{
"results": [
{
"document": "<filename>",
"path": "<absolute_path>",
"extractions": [
{
"column": "<column_name>",
"value": "<extracted_value>",
"page": <page_number>,
"quote": "<brief_context_quote>"
}
]
}
]
}
If you cannot find information for a column, set value to "Not found" and explain in the quote field.
Distribution strategy:
Wait for all background agents to complete:
TaskOutput(task_id: "<agent_id>", block: true)
Aggregate all results into a single array of document extractions.
Invoke the xlsx skill to create the output file:
Create an Excel workbook at <output_path>:
SHEET 1: "Document Review"
- Header row: Document | <Column1> | <Column2> | ...
- Data rows: One row per document
For each extraction cell:
- Cell value: The extracted text
- Cell hyperlink: file://<document_path>#page=<N> (for PDFs)
- Cell comment: "Page <N>: '<quote>'"
SHEET 2: "Summary"
- Total documents: <count>
- Documents processed: <count>
- Extraction date: <today>
Extraction result format:
{
"document": "Contract_ABC.pdf",
"path": "/path/to/Contract_ABC.pdf",
"extractions": [
{
"column": "Parties",
"value": "Acme Corp and Beta Inc",
"page": 1,
"quote": "entered into between Acme Corp and Beta Inc"
},
{
"column": "Effective Date",
"value": "January 15, 2025",
"page": 1,
"quote": "effective as of January 15, 2025"
}
]
}
Cell with citation:
file:///path/to/Contract_ABC.pdf#page=1Page 1: "entered into between Acme Corp and Beta Inc"Color coding (optional):
| Scenario | Action |
|---|---|
| Document unreadable | Log error, mark row as failed, continue |
| Column not found | Set value to "Not found", explain in comment |
| Agent timeout | Collect partial results, note incomplete |
| Missing skill | Prompt user to install required skill |
User: I want to do a tabular review of my contracts
Claude: [Uses AskUserQuestion]
- What folder contains your documents?
- What should I name the output Excel file?
- What columns do you want to extract?
User: ~/Contracts, review.xlsx, Parties/Date/Term/Governing Law
Claude: [Discovers 15 documents via Glob]
Claude: [Launches 5 background agents, 3 docs each]
Claude: [Collects results via TaskOutput]
Claude: [Creates review.xlsx via xlsx skill]
Output: review.xlsx with 15 rows, 4 columns, hyperlinks and citations
2plugins reuse this skill
First indexed Jul 8, 2026
npx claudepluginhub akshullyinnocent-oklahoma/awesome-legal-skills --plugin tabular-review-lawvableExtracts structured data from PDF and DOCX documents into an Excel matrix with citations. Useful for contract review, document comparison, and creating review matrices.
Builds a tabular review grid from a batch of documents — one row per document, one column per data point, every cell cited to source. Designed for M&A diligence, contract review, and any batch extraction task that needs a spreadsheet output.
Compares multiple documents in a sourced table with per-cell references and confidence. For contract portfolios, due diligence, rent abstracts, or extracting structured tables from a single document.