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multi-reviewer-patterns

Coordinate parallel code reviews across multiple quality dimensions

by wshobsonFree

Launch
#1777in AI Skills
0In stores

Description

multi-reviewer-patterns is an agent skill from the wshobson/agents collection for coordinating several code reviews that run in parallel, ea…

Highlights

  • Parallel reviews split by quality dimension
  • Dimension allocation per reviewer
  • Finding deduplication
  • Severity calibration across reviewers
  • Consolidated review report
  • Installs with the skills CLI

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multi-reviewer-patterns FAQ

What does this skill coordinate?

Several code reviews running in parallel, each focused on a different quality dimension of the same change.

Why deduplicate findings?

So two reviewers reporting the same problem produce one finding rather than two.

What does severity calibration mean here?

Making sure a severity rating means the same thing whichever reviewer gives it.

Who decides what to fix?

The consolidated report goes to the author, who decides which findings to act on.

How do I install it?

Run npx skills add https://github.com/wshobson/agents --skill multi-reviewer-patterns.

What security audits does it have?

skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.

What are the best multi-reviewer-patterns alternatives?

Popular alternatives to multi-reviewer-patterns include ai-debt-detector, code-review-excellence and code-reviewer. See all multi-reviewer-patterns alternatives

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