orchestkit
Reduces engineering overhead by providing pre-built, production-ready patterns for Claude integration across full-stack development, eliminating custom orche…
The Complete AI Development Toolkit for Claude Code — 114 skills, 37 agents, 212 hooks. Production-ready patterns for full-stack development.
- Generate boilerplate code and project structures for new full-stack applications quickly.
- Automate deployment pipelines and infrastructure setup across multiple environments.
- Debug production issues by running diagnostic agents against live system logs.
Reduces engineering overhead by providing pre-built, production-ready patterns for Claude integration across full-stack development, eliminating custom orchestration code and accelerating time-to-delivery for AI-assisted features.
Engineering teams building Claude-native applications seeking to standardize AI agent patterns and reduce development iteration cycles.
https://github.com/yonatangross/orchestkit
By yonatangross
How to Get It
claude plugins install yonatangross/orchestkit
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:
Help me generate boilerplate code and project structures for new full-stack applications quickly
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 208 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.
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Evaluation
Scored from trust signals (evidence-eval-v1): 208 GitHub stars; contributors unknown; last commit 0d ago; license MIT.