Hao Li (ynulihao)
Building a principled framework for AI agent skill selection, orchestration, and ecosystem-level management to leverage over 200,000+ skills.
At a Glance
AI Tools by Hao Li (ynulihao)
(1)
AgentSkillOS
Agent Skill Orchestration Framework
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A principled framework for AI agent skill management at scale. It includes hierarchical skill organization (capability trees) and DAG-based orchestration for multi-skill execution.
A tool for making any software skill-native, auto-generating production-ready AI Agent Skills for platforms like Claude Code and Codex.
Market Position
Differentiates from flat-invocation agent frameworks by using structured skill retrieval and DAG-based orchestration, enabling agents to scale to thousands of skills without performance degradation.
Leadership
Founders
Hao Li (ynulihao)
Researcher and developer specializing in AI agent infrastructure and skill management. Lead author of the AgentSkillOS framework. Affiliated with research collaborations involving Shanghai AI Laboratory and major universities.
Executive Team
Hao Li (ynulihao)
Lead Creator & Researcher
Expert in agentic software engineering and skill orchestration.
Chunjiang Mu
Core Contributor / Researcher
Researcher at Northwestern Polytechnical University (NWPU), contributor to AgentSkillOS paper.
Founding Story
Started as a research-driven project to solve the challenges of managing and scaling agent skills in large ecosystems. The vision was to move away from flat invocation to a structured 'OS' for agent skills.
Business Model
Revenue Model
Open Source / MIT License. No commercial pricing tiers currently available.
Target Markets
- Data Computation
- Document Creation
- Motion Video Generation
- Visual Design
- Web Interaction Automation