kanbanzai-review

Automate structured code review workflows for Kanchai features across multiple evaluation dimensions.

5|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/sambeau/kanbanzai --skill kanbanzai-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kanbanzai-review
Source: https://github.com/sambeau/kanbanzai/tree/main/internal/kbzinit/skills/review
Command: npx skills add https://github.com/sambeau/kanbanzai --skill kanbanzai-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code reviews for Kanbanzai features are standardized and repeatable, reducing drift and misalignment across teams.

Core Features & Use Cases

  • Structured review procedure: defines inputs, per-dimension guidance, required outputs, and orchestration steps.
  • Per-dimension evaluation: provides criteria for spec conformance, implementation quality, tests, documentation, and workflow integrity.
  • Output & traceability: produces a formal review report and ensures artifacts are versioned and auditable.

Quick Start

Provide the feature ID, approved spec documents, worktree branch or PR diff, and the feature's dev-plan to start the review.

Frequently Asked Questions about kanbanzai-review

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

FAQPage Schema
How do I automate structured code reviews for feature spec conformance?

Automated structured code reviews enforce spec conformance by evaluating feature diffs against approved specs, implementation quality, tests, documentation, and workflow integrity across multiple dimensions. This produces a formal, auditable review report.

What inputs do I need to start an automated feature code review workflow?

Starting an automated feature code review requires the feature ID, approved spec documents, worktree branch or PR diff, and the feature's dev-plan. These inputs ensure the review workflow can evaluate spec conformance and implementation quality.

How does per-dimension evaluation work for code review?

Per-dimension code review evaluation works by applying specific criteria to spec conformance, implementation quality, tests, documentation, and workflow integrity. It guides reviewers through each dimension to ensure standardized, repeatable feature assessments.

Why should my team use workflow orchestestration for feature code reviews?

Workflow orchestration for feature code reviews standardizes the evaluation procedure, reducing drift and misalignment across teams. It defines orchestration steps for review execution, ensuring consistent criteria guidance and standardized output formatting.

Does structured code review handle edge cases in feature development?

Structured code review handles edge cases by defining specific requirements for edge-case handling within its review workflow. This ensures that feature reviews account for unexpected conditions in spec conformance and implementation quality.

What's the best way to ensure traceability in code review reports?

Ensuring traceability in code review reports is achieved by producing formal review artifacts that are versioned and auditable. The structured review workflow outputs these reports to maintain consistency across feature evaluations.