Agent skill · Code Review & Quality

prompt-review

Reviews a prompt/instruction file against Anthropic prompt engineering best practices. Use when evaluating skill files, agent definitions, or instruction chunks for quality.

majiayu000github.com/majiayu000GitHub ↗
claude-coderead-onlyMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-review-unsupervisedcom-deepwork --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Allowed tools: ReadGlobGrepWebFetch
Path: skills/ai-llm/prompt-review-unsupervisedcom-deepwork/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Prompt Engineering Review Review a prompt or instruction file against Anthropic's prompt engineering best practices and provide structured, actionable feedback. ## Arguments `$ARGUMENTS` is the path to the file to review. If not provided, ask the user which file to review. ## Procedure ### Step 1: Fetch Current Best Practices Fetch the latest Anthropic prompt engineering guidance to ground your review in current recommendations: ``` WebFetch https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview ``` Use the fetched content as your primary reference for evaluation criteria. If the fetch fails, proceed using your built-in knowledge of Anthropic prompt engineering best practices. ### Step 2: Read the Target File Read the file at the path specified in `$ARGUMENTS`. If the path is relative, resolve it from the current working directory. If the file does not exist, inform the user and stop. ### Step 3: Determine the Prompt Context Before evaluating, identify how this prompt will be used: - **Standalone system prompt**: The file is the complete prompt given to Claude - **Instruction chunk / skill file**: The file is injected into a larger prompt context (e.g.,

What's inside
Steps it walks through
  1. Arguments
  2. Procedure
  3. Step 1: Fetch Current Best Practices
  4. Step 2: Read the Target File
  5. Step 3: Determine the Prompt Context
  6. Step 4: Evaluate Against Best Practices
  7. Step 5: Produce the Review
  8. Prompt Review: {filename}
  9. Strengths
  10. Issues Found
  11. Summary of Recommendations
  12. Grading Rubric
Ships with 1 file
  • metadata.json
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About this skill
What does the prompt-review skill do?

Reviews a prompt/instruction file against Anthropic prompt engineering best practices. Use when evaluating skill files, agent definitions, or instruction chunks for quality.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill prompt-review-unsupervisedcom-deepwork --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going