dcr-lead-init

Initialize Deep Code Review lead rounds with task binding and artifact management.

3|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/Koryto/dotagent --skill dcr-lead-init
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dcr-lead-init
Source: https://github.com/Koryto/dotagent/tree/main/.agent/playbooks/deep-code-review/skills/dcr-lead-init
Command: npx skills add https://github.com/Koryto/dotagent --skill dcr-lead-init

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Start Deep Code Review as the lead for an active review run, providing structure, artifact management, and human-in-the-loop guidance to keep reviews focused and reviewable.

Core Features & Use Cases

  • Initialize the lead round with explicit task binding and ensure round lifecycle adherence.
  • Maintain the live round packet, findings_ledger, and carry-forward artifacts across rounds.
  • Coordinate reviewer findings, classification, and verification to produce human-facing results and execution plans.

Quick Start

Bind the lead to a specific task by invoking the runtime with a distinct task_name at startup.

Frequently Asked Questions about dcr-lead-init

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

FAQPage Schema
How do I lead a deep code review round with human-in-the-loop coordination?

To lead a deep code review round, initialize the session by binding a specific task_name to scope the review, then coordinate reviewer findings and manage carry-forward artifacts through human-in-the-loop decision points across multiple rounds.

What is the best way to manage code review artifacts across multiple review rounds?

Managing code review artifacts across multiple rounds requires maintaining a live round packet and a findings_ledger to carry forward classifications and verification steps, ensuring explicit task association and focused human-guided coordination throughout the lifecycle.

How does a live findings ledger work during multi-round code reviews?

A live findings ledger works by capturing and tracking reviewer findings, classifications, and verification steps across active review rounds, allowing the human-guided lead to coordinate carry-forward artifacts and produce human-facing execution plans.

Do I need explicit task binding to start a code review lead session?

Yes, explicit task binding is required to start a code review lead session. You must invoke the runtime with a distinct task_name at startup to bind the lead to the specific task scope and ensure round lifecycle adherence.

Can I coordinate multiple reviewers and classify findings in a single code review round?

Yes, you can coordinate multiple reviewers within a single code review round by classifying their findings, managing the live round packet, and routing them through human-in-the-loop decision points to verify results and generate execution plans.

When should I not use a human-guided lead for deep code review rounds?

A human-guided lead for deep code review rounds should not be used when the process requires full automation without human-in-the-loop decision points, as this approach relies on explicit participant coordination and live round context management to function correctly.