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FelixBitSoul
FelixBitSoulCOMMUNITY
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requesting-code-review

Dispatch a code-reviewer agent after task completion for structured Git workflow feedback.

2|Updated Apr 20, 2026
Search Tags:#git#quality-assurance#ai-agent#code-review#pull-request#review-workflow
One-click install
npx skills add https://github.com/FelixBitSoul/contentCrew-AI --skill requesting-code-review-felixbitsoul
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: requesting-code-review
Source: https://github.com/FelixBitSoul/contentCrew-AI/tree/main/.trae/skills/requesting-code-review
Command: npx skills add https://github.com/FelixBitSoul/contentCrew-AI --skill requesting-code-review-felixbitsoul

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill ensures early, structured verification of code work by routing completed tasks to a specialized code-reviewer agent, preserving context while focusing feedback on the artifact rather than the thought process.

Core Features & Use Cases

  • Dispatches a code-reviewer sub-agent after task completion to generate a focused, organized evaluation context.
  • Enforces review before merging and before major changes to improve quality and reduce regressions.
  • Guides feedback handling with a structured template covering implemented content, plans, and baseline/head comparisons.
  • Supports use cases across feature development, bug fixes, and pre-merge validation in multi-repo workflows.

Quick Start

Dispatch the code-reviewer after completing a task to obtain a structured assessment of the work before merging.

Frequently Asked Questions about requesting-code-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review routing before a Git pull request merge?▼

Automate code review routing by dispatching a dedicated code-reviewer agent after task completion. This enforces structured verification before merging, routing completed features or bug fixes to generate focused feedback on the artifact rather than the thought process.

What is the best way to structure AI code review feedback for a pull request?▼

Structure AI code review feedback using a template that populates WHAT_WAS_IMPLEMENTED, PLAN_OR_REQUIREMENTS, BASE_SHA, HEAD_SHA, and DESCRIPTION. This ensures organized evaluation context and focused assessment before major changes are merged.

Does this automated review workflow require a specific Task tool configuration?▼

Yes, this automated review workflow requires a Task tool configured with a superpowers:code-reviewer type. This dependency is necessary to dispatch the specialized agent that evaluates the code changes.

Can I use AI code reviewers for bug fixes across multiple Git branches?▼

Yes, you can use AI code reviewers for bug fixes, feature development, and pre-merge validation across multiple branches. The workflow dispatches an agent to assess work quality and reduce regressions in multi-repo workflows.

When do I need to dispatch a code-reviewer agent in my development workflow?▼

Dispatch a code-reviewer agent when completing important features, finalizing bug fixes, or prior to merging in Git workflows. This ensures early verification of code work and preserves context while focusing feedback on the artifact.

Why should I route completed tasks to an AI reviewer instead of reviewing code manually?▼

Routing completed tasks to an AI reviewer ensures early, structured verification and reduces regressions by enforcing review before merging. It preserves context while generating a focused, organized evaluation context that improves quality assurance.

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