render-review-rows
Automates the assembly of data review reports.
Install
mkdir -p .claude/skills/render-review-rows && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13555" && unzip -o skill.zip -d .claude/skills/render-review-rows && rm skill.zipInstalls to .claude/skills/render-review-rows
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
1. The filing is the single source of truth. Every fact traces to `source_accession_number` + verbatim `source_text`. 2. Fail closed on source ambiguity. Fail open on extraction incompleteness. 3. Facts before judgments. Proposals are raw events. Classification is Skill 8, not SkKey capabilities
- →Denormalize extraction and enrichment artifacts into a 47-column CSV.
- →Rebuild `master_rows.csv` after manual overrides.
- →Rebuild the global `Data/views/master.csv` after deal changes.
- →Populate 47 columns per a column specification.
- →Derive `bid_note` from `event_type` using a mapping table.
How it works
This skill reads various JSONL and JSON input artifacts, processes them according to a column specification, and outputs a denormalized 47-column CSV file, along with review status and an overrides file.
Inputs & outputs
When to use render-review-rows
- →Rebuilding master review files
- →Aggregating deal extraction data
- →Generating compliance reports
About render-review-rows
Denormalizes extraction and enrichment data into a 47-column CSV review file. Provides a mechanical, interpretation-free aggregation of processed data.
1. The filing is the single source of truth. Every fact traces to `source_accession_number` + verbatim `source_text`. 2. Fail closed on source ambiguity. Fail open on extraction incompleteness. 3. Facts before judgments. Proposals are raw events. Classification is Skill 8, not Sk
When not to use it
- →When Skills 1-8 have not completed.
- →When judgment, classification, or interpretation is required.
- →When an input artifact is missing and its columns should not be skipped.
Limitations
- →This skill always succeeds if input artifacts exist, even if they are incomplete.
- →It does not perform any judgment, classification, or interpretation.
- →It relies on `source_accession_number` + `source_text` for factual tracing.
How it compares
This skill performs a purely mechanical assembly of data without judgment or classification, ensuring a consistent and interpretation-free aggregation of processed information.
Compared to similar skills
render-review-rows side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| render-review-rows (this skill) | 0 | 6mo | No flags | Intermediate |
| literature-review | 559 | 3mo | Review | Advanced |
| openalex-database | 48 | 9mo | Review | Intermediate |
| market-research-reports | 38 | 9mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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