orchestrate-review
Orchestrate Review
Multi-pass code review with parallel Task agents, finding aggregation, and iteration until clean.
Scope-Based Specialist Selection
Select conditional specialists based on the review scope:
- User request: Detect signals from content user refers to (files, directory, module)
- Workflow (Phase 9): Detect signals from changed files only
- Project audit: Detect signals from project structure as a whole
Review Passes
Spawn parallel general-purpose Task agents (model: sonnet), one per pass:
Core (Always)
const corePasses = [
{ id: 'code-quality', role: 'code quality reviewer',
More from agent-sh/agentsys
web-browse
Browse and interact with web pages headlessly. Use when agent needs to navigate websites, click elements, fill forms, read content, or take screenshots.
11debate
Structured AI debate templates and synthesis. Use when orchestrating multi-round debates between AI tools, 'debate topic', 'argue about', 'stress test idea', 'devil advocate'.
10discover-tasks
Use when user asks to \"discover tasks\", \"find next task\", \"prioritize issues\", \"what should I work on\", or \"list open issues\". Discovers and ranks tasks from GitHub, GitLab, local files, and custom sources.
9learn
Research any topic online and create learning guides. Use when user asks to 'learn about', 'research topic', 'create learning guide', 'build knowledge base', or 'study subject'.
9perf-benchmarker
Use when running performance benchmarks, establishing baselines, or validating regressions with sequential runs. Enforces 60s minimum runs (30s only for binary search) and no parallel benchmarks.
9deslop
Use when user wants to clean AI slop from code. Use for cleanup, remove debug statements, find ghost code, repo hygiene.
8