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
1.4 KiB
1.4 KiB
| name | description | license | metadata | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| commercial-agreement-tabular-review | Use this workflow to review uploaded documents and extract structured information into the tabular review columns defined in table-columns.yaml. | MIT |
|
Commercial Agreement Tabular Review
Purpose
Use this workflow to review uploaded documents and extract structured information into the tabular review columns defined in table-columns.yaml.
Instructions
- Apply each column prompt in
table-columns.yamlto each document independently. - Extract only information supported by the document text.
- Include clause references, section names, dates, amounts, party names, and defined terms where available.
- If responsive information is not found, return an empty value or a concise "Not found" response.
- Keep cell outputs concise while including enough context to make each extracted value useful.
- Do not invent citations, facts, parties, dates, rights, obligations, or financial consequences.
- Render the completed results as an exportable Excel (
.xlsx) file. If Excel output is not possible, render the results as a Markdown table.