Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations.
Install Tabular Review Lawvable
$ npx skills add lawve-ai/awesome-legal-skills --skill tabular-review-lawvable -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lawve-ai/awesome-legal-skills tabular-review-lawvable --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tabular-review-antoine-louis .claude/skills/tabular-review-lawvable && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tabular-review-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/tabular-review-antoine-louis into .claude/skills/tabular-review-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tabular-review-lawvable", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/tabular-review-antoine-louisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lawve-ai/awesome-legal-skills --skill tabular-review-lawvable -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lawve-ai/awesome-legal-skills tabular-review-lawvable --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tabular-review-antoine-louis .agents/skills/tabular-review-lawvable && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tabular-review-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/tabular-review-antoine-louis into .agents/skills/tabular-review-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tabular-review-lawvable", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lawve-ai/awesome-legal-skills --skill tabular-review-lawvable -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lawve-ai/awesome-legal-skills tabular-review-lawvable --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tabular-review-antoine-louis .cursor/skills/tabular-review-lawvable && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tabular-review-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/tabular-review-antoine-louis into .cursor/skills/tabular-review-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tabular-review-lawvable", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lawve-ai/awesome-legal-skills.git --path skills/tabular-review-antoine-louis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lawve-ai/awesome-legal-skills --skill tabular-review-lawvable -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lawve-ai/awesome-legal-skills tabular-review-lawvable --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tabular-review-antoine-louis .gemini/skills/tabular-review-lawvable && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tabular-review-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/tabular-review-antoine-louis into .gemini/skills/tabular-review-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tabular-review-lawvable", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lawve-ai/awesome-legal-skills tabular-review-lawvableInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lawve-ai/awesome-legal-skills --skill tabular-review-lawvable -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tabular-review-antoine-louis .github/skills/tabular-review-lawvable && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tabular-review-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/tabular-review-antoine-louis into .github/skills/tabular-review-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tabular-review-lawvable", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lawve-ai/awesome-legal-skills --skill tabular-review-lawvable -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lawve-ai/awesome-legal-skills tabular-review-lawvable --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lawve-ai/awesome-legal-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tabular-review-antoine-louis .opencode/skills/tabular-review-lawvable && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tabular-review-lawvable" agent skill from https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/tabular-review-antoine-louis into .opencode/skills/tabular-review-lawvable/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tabular-review-lawvable", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
tabular-review-lawvable- GitHub stars
- 847
- Token cost
- ~1.3k tokens
- SKILL.md length
- 267 words
- Files
- 3
- Skills in repo
- 154
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations.
- Works in 5 steps: Gather User Requirements → Discover Documents → Process Documents in Parallel → …
- The user wants to:
- SKILL.md covers Required Skills, Workflow, JSON Schema and Excel Output Format, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Tabular Review Lawvable is an agent skill from lawve-ai/awesome-legal-skills. Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations. Use when the user wants to: (1) Extract specific information from multiple documents into a table, (2) Compare clauses or provisions across contracts, (3) Create a document review matrix with source citations. Triggers on: 'tabular review', 'document matrix', 'extract from documents', 'compare across documents', 'review multiple contracts'.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `README.md`).
It sits in Documents & Office, covering Excel spreadsheets, Word documents and Citation management. It works with Microsoft Excel and Microsoft Word. The repository describes itself as: A curated list of awesome Agent Skills for automating legal work. The licence is AGPL-3.0.
When your agent uses it
- The user wants to:
- Extract specific information from multiple documents into a table
- Compare clauses
- Provisions across contracts
Example prompts
- “tabular review”
- “document matrix”
- “extract from documents”
- “/tabular-review-lawvable”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 045f738. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Tabular Review Lawvable loads about 1.3k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 267 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from lawve-ai/awesome-legal-skills at commit 045f738, republished under its AGPL-3.0 licence (© lawve-ai). 267 words, ~1,340 tokens.
Download SKILL.mdSave it as
.claude/skills/tabular-review-lawvable/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- tabular-review-lawvable
- description
- Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations. Use when the user wants to: (1) Extract specific information from multiple documents into a table, (2) Compare clauses or provisions across contracts, (3) Create a document review matrix with source citations. Triggers on: 'tabular review', 'document matrix', 'extract from documents', 'compare across documents', 'review multiple contracts'.
- metadata.author
- Dr. Antoine Louis
- metadata.license
- agpl-3.0
- metadata.version
- 2026-04-10
Tabular Review
Extract structured data from multiple documents into an Excel matrix with citations.
Required Skills
- pdf - For reading PDF documents
- docx - For reading Word documents
- xlsx - For creating the Excel output
Workflow
Step 1: Gather User Requirements
Use AskUserQuestion to collect:
- Document folder path - Where are the documents?
- Output filename - Name for the Excel file
- Columns to extract - What information to pull from each document
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 disputesStep 2: Discover Documents
Use Glob to find all documents:
Glob(pattern: "**/*.pdf", path: "<folder>")
Glob(pattern: "**/*.docx", path: "<folder>")Step 3: Process Documents in Parallel
Launch background agents to process documents concurrently. Each agent:
- Reads assigned documents using pdf or docx skill
- Extracts values for each column
- Captures page/paragraph citations
- Returns structured JSON
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:
- For N documents and M agents, each agent processes ceil(N/M) documents
- Default: 10 agents maximum
- Adjust based on document count
Step 4: Collect Results
Wait for all background agents to complete:
TaskOutput(task_id: "<agent_id>", block: true)Aggregate all results into a single array of document extractions.
Step 5: Generate Excel Output
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>JSON Schema
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"
}
]
}Excel Output Format
Cell with citation:
- Value: "Acme Corp and Beta Inc"
- Hyperlink:
file:///path/to/Contract_ABC.pdf#page=1 - Comment:
Page 1: "entered into between Acme Corp and Beta Inc"
Color coding (optional):
- Green: Value found with high confidence
- Yellow: Value found but uncertain
- Red: Value not found
Error Handling
| 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 |
Example Usage
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© lawve-ai, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in skills/tabular-review-antoine-louis of lawve-ai/awesome-legal-skills.
- SKILL.md
- LICENSE.txt
- README.md
Open the folder on GitHubat commit 045f738
Compare with similar skills
Tabular Review Lawvable next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tabular Review Lawvable this skilllawve-ai/awesome-legal-skills | 847 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 | |
| MarkitdownImCa0/just-laws | 781 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| PDFzai-org/ZCode | 7.7k | — | ~18k | Automated safety check: Notes | Proprietary | |
| Markitdownjimmc414/Kosmos | 595 | 2 repos | ~1.7k | Automated safety check: Pass | None | |
| Doc Cleanernotoriouslab/doc-cleaner | 309 | — | ~712 | Automated safety check: Pass | MIT | |
| MineruNebutra/MinerU-Skill | 123 | — | ~504 | Automated safety check: Pass | MIT |
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Works with
Categories
Questions about Tabular Review Lawvable
What does Tabular Review Lawvable do?
Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations. Tabular Review Lawvable is an agent skill from lawve-ai/awesome-legal-skills. Guide to analyze multiple documents (PDF, DOCX) against user-defined columns and produce a structured Excel output with citations.
When should I use Tabular Review Lawvable?
Tabular Review Lawvable fits situations like: the user wants to:; extract specific information from multiple documents into a table; compare clauses; provisions across contracts.
How do I install Tabular Review Lawvable in Claude Code?
Run `npx skills add lawve-ai/awesome-legal-skills --skill tabular-review-lawvable -a claude-code`. Or copy the skill folder (skills/tabular-review-antoine-louis in lawve-ai/awesome-legal-skills) into .claude/skills/tabular-review-lawvable in your project. Claude Code loads it when a task matches its description.
How do I install Tabular Review Lawvable in Codex?
Run `npx skills add lawve-ai/awesome-legal-skills --skill tabular-review-lawvable -a codex`. Or copy the skill folder (skills/tabular-review-antoine-louis in lawve-ai/awesome-legal-skills) into .agents/skills/tabular-review-lawvable in your project. Codex loads it when a task matches its description.
Can I use Tabular Review Lawvable in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lawve-ai/awesome-legal-skills --skill tabular-review-lawvable -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tabular-review-lawvable, .gemini/skills/tabular-review-lawvable, .github/skills/tabular-review-lawvable and .opencode/skills/tabular-review-lawvable in your project.
What does Tabular Review Lawvable need to run?
SKILL.md names no scripts, command-line tools or credentials: Tabular Review Lawvable is instructions for the agent only.
Does Tabular Review Lawvable access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Tabular Review Lawvable safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Tabular Review Lawvable use?
Tabular Review Lawvable is published under the AGPL-3.0 licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Tabular Review Lawvable use?
About 1.3k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Tabular Review Lawvable?
Skills that share tags, products or a category with Tabular Review Lawvable: Markitdown (ImCa0/just-laws, 781 stars), PDF (zai-org/ZCode, 7.7k stars), Markitdown (jimmc414/Kosmos, 595 stars) and Doc Cleaner (notoriouslab/doc-cleaner, 309 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tabular Review Lawvable?
lawve-ai (a GitHub organization) maintains it in lawve-ai/awesome-legal-skills, which has 847 GitHub stars. The repository holds 154 skills in this directory. The repository was last updated on October 2, 2026.
Source: lawve-ai/awesome-legal-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.