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Skills directory/natureco-official/natureco-cli/code-review-checklist

ChatGPT code-review-checklist skill for repeated scans

Use supplied diff excerpts and observations to check performance and style, and identify what still needs review.

中文

Install in ChatGPT

A ChatGPT workspace with skill creation enabled. Supply change excerpts and observations as text.

  1. In a ChatGPT workspace with skill creation enabled, open Plugins → Skills → Create → Create with editor.
  2. Create a skill in the editor and adapt the text-only `code-review-checklist` workflow from the pinned GitHub source into its instructions.
  3. Save the skill, then type @ in a new chat to select it and try the example.

Example task

Manually select code-review-checklist and use these fictional card rendering notes to write performance and style findings.
change `render route cards` | fixture `card-row-19`
before=one scan of the input | proposed=repeat all-row filtering for each card
small observed sample `10 cards` caused `100 reads` | expected one scan
style rule `name repeated category checks`

What to check

Flag `100 reads` for `10 cards` and suggest grouping after one scan. Check the style rule `name repeated category checks`.

Original SKILL.md on GitHub · Updated 2026-11-14

Frequently asked question

Can I infer live latency from a change in observed reads?

Report the reproducible read counts first. Describe runtime latency only after timing comparable conditions.

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  • ChatGPT message-summarization skill for decisions and blockers
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