By sickn33
Plugin-safe Claude Code distribution of Agentic Awesome Skills with 1,916 supported skills.
Azure AI Document Intelligence SDK for .NET. Extract text, tables, and structured data from documents using prebuilt and custom models.
Extract text, tables, and structured data from documents using prebuilt and custom models.
Build document analysis applications using the Azure AI Document Intelligence SDK for Java.
Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.
Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.
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Sign in to claimnpx claudepluginhub sickn33/agentic-awesome-skills --plugin agentic-awesome-skillsBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
A complete local skill catalog for coding agents—from project inspection and agent-owned selection to a reproducible, reviewable plan.
Current release: V15.1.0. This release includes AAS Core for complete local catalog search, agent-owned selection, manifest validation, planning, and diagnosis. Apply and recovery remain experimental and outside the supported preview path.
Codex or Claude inspects your project, enumerates its primary capabilities, searches and compares candidates across the complete local AAS catalog, and chooses the exact skills. Core imposes no semantic policy that favors a small stack; the manifest format has an explicit technical maximum of 128 skills. All 1,968 skills in the current catalog remain individually searchable, readable, and selectable. AAS Core does not rank or recommend skills. Its read-only compose_stack tool validates and returns the agent-owned manifest in memory; a client or the aas CLI persists the reviewed stack and its optional selection-evidence sidecar.
Read the AAS Core preview guide →
Project
-> inspected by Codex or Claude (not by AAS)
-> agent searches and reads the complete local catalog
-> AAS MCP (local stdio, read-only)
-> Codex or Claude chooses exact skill IDs
-> compose_stack validates the selection in memory (read-only)
-> client or AAS CLI persists aas-stack.json and optional evidence
-> AAS CLI validate + immutable plan preview
-> human review (optionally in Workbench)
The 1,967+ reusable SKILL.md playbooks, specialized plugins, bundles, workflows, and direct installers remain important. They are the content, curation, distribution, and compatibility layers around AAS Core—not competing primary products.
This is an independent community project. It is not affiliated with, sponsored by, endorsed by, or authorized by Google. Google, Antigravity, Gemini, and related product names are referenced only to describe compatibility and install targets. The GitHub repository is canonical; the hosted catalog and browser-local Workbench are companion discovery and review surfaces, not a hosted control plane.
The agent composes. You control. AAS keeps the stack reproducible.
AAS Core gives the repository one product model:
Plugin-safe Claude Code distribution of Agentic Awesome Skills with 1,933 supported skills.
Editorial "Data & Analytics" bundle for Claude Code from Agentic Awesome Skills.
Editorial "Web Designer" bundle for Claude Code from Agentic Awesome Skills.
Editorial "AAS QA & Test Automation" bundle for Claude Code from Agentic Awesome Skills.
Editorial "AAS Security Engineer" bundle for Claude Code from Agentic Awesome Skills.
Plugin-safe Claude Code distribution of Agentic Awesome Skills with 1,933 supported skills.
Plugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,419 supported skills.
Skill discovery and installation assistant — find and install the right skills for your project
Ask which skill or flow fits your situation.
Intelligent recommendation and auto-activation system that matches available skills to Claude Code tasks, optimizing tool selection.
Agent Skills for improving SKILL.md files: mine repeated workflows from history, personalize and audit existing skills, or generalize personal skills for publication.