Neura Market
@IanJ332 logo

@IanJ332

Free

Local, agent-first control plane for agentic skills catalog discovery and stack validation.

FreeFree tier
Type
Open Source
Visit Website GitHub (40 stars)
LinksLinkedIn

About @IanJ332

Ian Jiang (IanJ332) is a Master of Computer Science student at UIUC, co-founder of CollegeBot.ai (now Video Tutor), and a full-stack ML engineer. His notable open-source project, agentic-awesome-skills (repository: sickn33/agentic-awesome-skills), is a local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning. It is backed by over 1,987 agentic skills and includes a CLI and local MCP integration. The project is developed in Python and has garnered over 43,700 stars on GitHub. Ian's expertise spans fine-tuning, RAG, prompt engineering, GeoAI, BioAI, VisionaryAI, and back-end systems including RDBMS, MongoDB, Redis, and more.

Key Features

Local agent-first control plane for catalog discovery
Agent-owned selection and stack validation
Backed by 1,987+ agentic skills
Includes CLI and local MCP support
Open-source Python project with 43.7k+ GitHub stars
Supports planning and validation for agentic workflows

Pros & Cons

Pros
  • Large catalog of 1,987+ agentic skills
  • Local control plane ensures privacy and low latency
  • Open-source with strong community support
  • Includes CLI for easy integration into existing workflows
  • Developed by an experienced AI/ML engineer with deep technical stack knowledge
Cons
  • Relatively new project, documentation may still be maturing
  • Requires familiarity with agentic architectures and MCP concepts
  • Primarily Python-based, may not suit all development stacks

Best For

Building and managing agentic skill catalogsAgent orchestration and planningDevelopment of autonomous agent workflowsIntegration with local MCP servers for skill discovery

FAQ

What is agentic-awesome-skills?
It is a local, agent-first control plane for catalog discovery, agent-owned selection, stack validation, and planning, backed by 1,987+ agentic skills. It includes a CLI and local MCP support.
Who is Ian Jiang?
Ian Jiang is a Master of Computer Science student at UIUC, co-founder of CollegeBot.ai (now Video Tutor), and a full-stack ML engineer with expertise in fine-tuning, RAG, prompt engineering, and back-end systems.
Is agentic-awesome-skills free to use?
Yes, it is an open-source project available on GitHub under the repository sickn33/agentic-awesome-skills.
How many agentic skills are included?
The project is backed by over 1,987 agentic skills.
What technologies are used in this project?
The project is built in Python and includes a CLI (command-line interface) and local MCP (Model Context Protocol) support.