agent-cross-review
CommunityAlign agent efforts, ensure quality.
Author1ambda
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured protocol for agents to review each other's work, ensuring alignment on scope, calibration of priorities, and domain-aware feedback, preventing miscommunication and improving overall output quality.
Core Features & Use Cases
- Structured Review Protocol: Defines clear steps for identifying scope, checking domain relevance, and providing calibrated feedback using priority tiers (CRITICAL, MAJOR, MINOR, DEFER).
- Role-Specific Guidance: Offers tailored review focus areas and deferral points for different agent types (e.g., Feature Agent, Expert Agent, Architecture).
- Handoff & Conflict Resolution: Facilitates smooth transitions between agents and provides a framework for resolving disagreements.
- Use Case: When a
feature-interface-cliagent completes a new command implementation, it can use this skill to initiate a cross-review with anexpert-pythonagent to ensure code quality and adherence to Python best practices, while theexpert-pythonagent defers on CLI-specific structural decisions.
Quick Start
Initiate a cross-review for the 'basecamp-server' artifact, with the reviewer being 'agent-cross-review' and the author being 'basecamp-server'.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: agent-cross-review Download link: https://github.com/1ambda/dataops-platform/archive/main.zip#agent-cross-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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