zhukang
1c7abd81d1
- 310 registry:skill items, 1528 files, 7 categories (hub tags) - registry.json generated by @kortix/registry buildRegistry - nested SKILL.md in sn-da-* renamed SUBSKILL.md (no phantom skills) - provenance + licenses: SOURCES.md
29 lines
1.4 KiB
Markdown
29 lines
1.4 KiB
Markdown
---
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name: commercial-agreement-tabular-review
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description: "Use this workflow to review uploaded documents and extract structured information into the tabular review columns defined in table-columns.yaml."
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license: "MIT"
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metadata:
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version: "1.0.0"
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author: "Open Legal Products"
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language: "English"
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mike-display-name: "Commercial Agreement Tabular Review"
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mike-type: "tabular"
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mike-availability: "system"
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practice: "General Transactions"
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jurisdictions: "General"
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---
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# Commercial Agreement Tabular Review
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## Purpose
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Use this workflow to review uploaded documents and extract structured information into the tabular review columns defined in `table-columns.yaml`.
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## Instructions
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- Apply each column prompt in `table-columns.yaml` to each document independently.
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- Extract only information supported by the document text.
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- Include clause references, section names, dates, amounts, party names, and defined terms where available.
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- If responsive information is not found, return an empty value or a concise "Not found" response.
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- Keep cell outputs concise while including enough context to make each extracted value useful.
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- Do not invent citations, facts, parties, dates, rights, obligations, or financial consequences.
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- Render the completed results as an exportable Excel (`.xlsx`) file. If Excel output is not possible, render the results as a Markdown table. |