exploration-review

Coordinate interactive code reviews by guiding reviewers and spawning specialized agents.

3|Updated Jan 14, 2026
One-click install
npx skills add https://github.com/thebrownproject/space-agents --skill exploration-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: exploration-review
Source: https://github.com/thebrownproject/space-agents/tree/main/skills/exploration-review
Command: npx skills add https://github.com/thebrownproject/space-agents --skill exploration-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables guided, interactive code reviews by coordinating human reviewers with specialized AI agents to surface issues and track actions.

Core Features & Use Cases

  • Agent orchestration: spawn dedicated agents to assess quality, security, performance, and code structure during reviews.
  • Beads-based tracking: create and manage issues or tasks as Beads to preserve decisions and progress.
  • Collaborative dialogue: drive conversations, request clarifications, and summarize findings for stakeholders.

Quick Start

Initiate an exploration-review session and start a guided code review with agent-backed analysis.

Frequently Asked Questions about exploration-review

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

FAQPage Schema
How do I coordinate interactive AI code reviews with specialized agents?

Agent orchestration for code reviews involves spawning dedicated AI agents to assess code quality, security, performance, and structure. This approach drives collaborative dialogue, requests clarifications, and summarizes findings for stakeholders.

What is Beads-based issue tracking for code review?

Beads-based issue tracking creates and manages tasks as Beads to preserve decisions and progress across codebases. It integrates directly into guided code reviews to track agent-surfaced issues collaboratively.

How do I start a guided code review session with agent-backed analysis?

Start a guided code review session by initiating an exploration-review session. This triggers agent orchestration for category-specific analysis covering code quality, security, performance, and simplification.

Can I use agent orchestration to assess code security and performance during reviews?

Yes, agent orchestration spawns dedicated agents to assess security, performance, quality, and code structure during reviews. These specialized agents analyze specific categories and feed findings back to the collaborative session.

Does this code review approach work for tracking issues across large codebases?

Yes, Beads integration supports issue tracking across codebases by creating and managing tasks as Beads. This preserves decisions and progress for stakeholders throughout the collaborative review process.