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DimitriGilbert
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deep-agent-review

Coordinate multi-agent code reviews by dispatching specialists and verifying findings.

5|Updated Jan 17, 2026
Search Tags:#verification#remediation#multi-agent#orchestration#phases#code-review
One-click install
npx skills add https://github.com/DimitriGilbert/ai-skills --skill deep-agent-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-agent-review
Source: https://github.com/DimitriGilbert/ai-skills/tree/main/deep-agent-review
Command: npx skills add https://github.com/DimitriGilbert/ai-skills --skill deep-agent-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Multi-agent review orchestration to perform exhaustive, area-aware code reviews by dispatching specialized subagents and collecting progressive findings, verified claims, and actionable remediation plans.

Core Features & Use Cases

  • Map codebases into semantic areas and run parallel specialist reviews
  • Save findings progressively per area and verify before final consolidation
  • Generate a master remediation plan with prioritized actions and timelines

Quick Start

Initialize the deep agent review by mapping semantic areas, approving them, running specialists in parallel, verifying findings, and generating the master remediation plan.

Frequently Asked Questions about deep-agent-review

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

FAQPage Schema
What is multi-agent code review orchestration?▼

Multi-agent code review orchestration is a process that maps a codebase into semantic areas, dispatches specialized subagents to run parallel reviews, verifies findings, and generates a master remediation plan.

How do I run a parallel code review across different semantic areas?▼

To run parallel code reviews, you initialize the workflow by mapping semantic areas, obtaining approvals, dispatching area specialists in parallel, verifying findings, and generating a prioritized remediation plan.

How are code review findings verified before generating a remediation plan?▼

All claims must be verified before inclusion in the final report; the workflow saves findings progressively per area and validates them before consolidating a master remediation plan with prioritized actions.

What is the best way to automate exhaustive code reviews for large codebases?▼

The best way to automate exhaustive code reviews is using multi-agent orchestration to map the codebase into semantic areas, run parallel specialist reviews, and collect progressive verified findings for a master remediation plan.

Can I get a prioritized remediation plan after a multi-agent code review?▼

Yes, the workflow generates a master remediation plan with prioritized actions and timelines after all specialist reviews are completed and their findings are verified.

Does multi-agent code review work without external dependencies?▼

Yes, this multi-agent code review orchestration workflow operates without external dependencies, using internal semantic mapping and specialized subagent dispatch to verify findings and generate remediation plans.

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