ai-agents
Distributes complex development tasks across specialized agents, reducing coordination overhead and accelerating delivery cycles while maintaining consistenc…
Multi-agent system for software development
- Ask Claude to design a system architecture by coordinating multiple specialized agents
- Generate code reviews by having agents analyze different components simultaneously
- Automate sprint planning by having agents break down features into tasks
Distributes complex development tasks across specialized agents, reducing coordination overhead and accelerating delivery cycles while maintaining consistency in code quality and architectural decisions.
Engineering teams managing large codebases requiring parallel task execution, design reviews, and cross-functional code ownership.
https://github.com/rjmurillo/ai-agents
By rjmurillo
How to Get It
claude plugins install rjmurillo/ai-agents
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Design a system architecture by coordinating multiple specialized agents
Trust Signals Auto-scanned
Community Pulse New
- Ex-GitHub CEO launches a new developer platform for AI agents — Hacker News · 611 pts
1 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 38 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 38 GitHub stars; contributors unknown; last commit 0d ago; license MIT.