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Code, product and test review with findings v1.0.0

Use this resource to review code, documents, tests or hotfixes and rank findings by severity

New

  • 334 downloads
  • 166 likes
  • 129 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install code-and-product-review-findings

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent picks the review type (plain, or pull request when a PR, diff or branch is targeted) and the matching companion skills, examines the existing content, then ranks its findings by severity based on evidence. It does not edit what it reviews. Guidance exists for FastAPI, gRPC, jOOQ, React and Ruby on Rails.

Mostly picked by

Updated November 2, 2026

Card for the “Code, product and test review with findings” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: review types, levels and severity rules
  • references/collaboration/code.md: code and pull request review

Good fit for

  • A pull request needs a structured review
  • You want feedback on a document or test suite before approval

Not for

    Tags

    • review
    • pull request
    • severity
    • findings

    About

    You say

    “Review this pull request, rank the findings by severity, and do not touch the code.”

    Card for the “Code, product and test review with findings” skill

    Skill published by danangjoyoo under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to review code, documents, tests or hotfixes and rank findings by severity
    3. Review and adjust the result

    Content preview

    Files

    • agents/openai.yaml0.3 KB
    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/collaboration/code.md2.3 KB
    • references/collaboration/document.md2.6 KB
    • references/collaboration/hotfix.md2.8 KB
    • references/collaboration/orchestration.md4.1 KB
    • references/collaboration/product.md2.7 KB
    • references/collaboration/test.md2.7 KB
    • references/frameworks/fastapi.md0.9 KB
    • references/frameworks/grpc.md0.9 KB
    • references/frameworks/jooq.md0.9 KB
    • references/frameworks/reactjs.md0.9 KB
    • references/frameworks/ruby-on-rails.md0.8 KB
    • references/frameworks/sidekiq.md0.8 KB
    • references/frameworks/springboot.md0.9 KB
    • references/stacks/docker.md0.9 KB
    • references/stacks/go.md0.8 KB
    • references/stacks/java.md0.9 KB
    • references/stacks/javascript.md0.9 KB
    • references/stacks/kotlin.md0.9 KB
    • references/stacks/kubernetes.md0.9 KB
    • references/stacks/mysql.md0.9 KB
    • references/stacks/postgresql.md0.9 KB
    • references/stacks/python.md0.9 KB
    • references/stacks/redis.md0.9 KB
    • references/stacks/ruby.md0.9 KB
    • references/stacks/rust.md0.9 KB
    • references/stacks/terraform.md0.9 KB
    • references/stacks/typescript.md0.9 KB
    • SKILL.md10 KB
    • tools/github.md3.1 KB
    • tools/gitlab.md3 KB
    • tools/google-docs.md2.6 KB
    • tools/google-sheets.md2.9 KB
    • tools/notion.md2.8 KB

    Origin and licence

    Listed unmodified

    Author
    danangjoyoo
    Source
    github.com/danangjoyoo/nerd/tree/20fe1d841603f32b9b2163c95d6c4cbf5f250306/skills/nerd-review
    Licence
    MIT

    Notice

    « nerd-review » (danangjoyoo, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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