Build your agent from 90,000+ skills via skill RETRIEVAL & ORCHESTRATION

Skill Workflow Overview

Highlights

Six core capabilities for intelligent skill management

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Skill Search & Discovery

Creative skill discovery with hierarchical skill tree for semantic navigation

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Skill Orchestration

DAG-based workflow with automatic dependency management and parallel execution

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GUI (Human-in-the-Loop)

Built-in GUI for controllable, auditable workflows with human oversight

High-Quality Skill Pool

Curated skills based on GitHub stars and downloads, ensuring reliability

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Observability & Debugging

Trace logs and metadata for debugging and monitoring skill execution

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Extensible Skill Registry

Flexible registry for custom skills with easy integration and management

Architecture

Three key components for intelligent skill management

AgentSkillOS Framework
Skill tree construction: Organizes 90,000+ skills into a capability tree for efficient and creative skill discovery. Skill retrieval: Automatically selects task-relevant skills. Skill orchestration: Composes skills into a DAG-based workflow.

Why Skill Tree?

Comparing semantic retrieval vs. our LLM + Skill Tree approach

Skill Retrieval Comparison

▲ Left: Pure semantic retrieval prioritizes textual similarity, often missing skills that look unrelated in embedding space but are crucial for solving the task—leading to narrow, myopic skill usage.

▲ Right: Our LLM + Skill Tree navigates the capability hierarchy to surface non-obvious but functionally relevant skills, enabling broader, more creative, and more effective skill composition.

Examples

Click to see detailed workflow and results