ce-code-review

Orchestrate multi-agent code review workflows and aggregate findings into merge-ready reports.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/DieStok/ridder_lab_retreat_ai_hackathon_2026 --skill ce-code-review-diestok
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ce-code-review
Source: https://github.com/DieStok/ridder_lab_retreat_ai_hackathon_2026/tree/main/.agents/skills/compound-engineering/skills/ce-code-review
Command: npx skills add https://github.com/DieStok/ridder_lab_retreat_ai_hackathon_2026 --skill ce-code-review-diestok

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Structured, multi-agent code reviews that surface tiered findings, assign actionable ownership, and produce a cohesive report ready for PRs or automation pipelines.

Core Features & Use Cases

  • Spawns tiered reviewer personas (correctness, testing, maintainability, project-standards) to analyze diffs and surface edge cases.
  • Generates structured findings with fields like severity, autofix_class, owner, requires_verification, and evidence, plus residual risks and testing gaps.
  • Supports interactive per-finding walk-through, bulk ticketing via trackers, and headless automation flows for CI/CD.

Quick Start

Run ce-code-review on the current checkout to generate a comprehensive review report you can act on immediately.

Frequently Asked Questions about ce-code-review

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

FAQPage Schema
How do I automate multi-agent code review in my CI/CD pipeline?

You can automate code review by running ce-code-review headlessly on your checkout to generate artifact-friendly, merge-ready reports with structured findings suitable for direct CI/CD integration. It orchestrates tiered reviewer personas to analyze diffs and aggregate results into a single output.

What is structured multi-agent code review and how does it work?

Structured multi-agent code review spawns tiered reviewer personas—covering correctness, testing, maintainability, and project standards—to analyze diffs. It aggregates their findings into a cohesive report containing severity, autofix_class, owner, and verification flags for actionable downstream fixes.

Can I generate actionable code review findings with severity and ownership for my pull requests?

Yes, this code review workflow generates structured findings with fields like severity, autofix_class, owner, and evidence. It produces a merge-ready report that assigns actionable ownership and highlights residual risks, making it ideal for pull request integration.

What's the best way to surface edge cases and testing gaps during a code review?

The best way to surface edge cases is to use a tiered reviewer persona workflow that analyzes diffs for correctness and testing gaps. It aggregates these insights into a structured report, flagging residual risks and verification requirements for downstream ticketing.

Does multi-agent code review support bulk ticketing for tracked findings?

Yes, the multi-agent code review workflow supports interactive per-finding walk-throughs and bulk ticketing via trackers. It outputs structured findings with evidence and ownership flags, allowing you to push gated results directly into your issue tracking system.

When should I use a gated findings workflow for code review?

You should use a gated findings workflow when you need merge-ready reports with strict verification flags before deployment. It is ideal for CI/CD automation where structured findings must be aggregated, filtered by severity, and routed to specific owners for downstream fixes.