agentic-awesome-skills
Reduces time-to-capability by providing a curated, locally-hosted skill catalog that enables AI agents to autonomously select and validate tools, eliminating…
AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 1,987+ agentic skills. Includes CLI, local MCP, catalog, plugins, and Workbench.
- Ask Claude to discover and list available agentic skills matching your project requirements.
- Generate a validated tech stack using agent-selected skills from the 1,987+ catalog.
- Automate skill selection and planning for new development tasks through the local control plane.
Reduces time-to-capability by providing a curated, locally-hosted skill catalog that enables AI agents to autonomously select and validate tools, eliminating manual integration overhead and vendor lock-in risk.
Engineering teams deploying autonomous AI agents requiring rapid skill composition and reproducible tool stack validation across environments.
https://github.com/sickn33/agentic-awesome-skills
By sickn33
How to Get It
claude plugins install sickn33/agentic-awesome-skills
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:
Discover and list available agentic skills matching my project requirements
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): 44,113 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): 44,113 GitHub stars; contributors unknown; last commit 0d ago; license MIT.