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Universal Skill Loader

Load Claude Code Skills and run them on any platform - Agent SDK, OpenClaw, and beyond.

February 5, 2026 • 3 min read • By Claude World

Universal Skill Loader

Write your Skill once, run everywhere - from Claude Code to Agent SDK, OpenClaw, and beyond.

The Universal Skill Loader is a concept and implementation that allows you to write Skills in the Claude Code Skills format (declarative markdown) and execute them across different Agent platforms.

What Problem Does It Solve?

The N×N Problem

Traditional agent development: N tools = N! possible workflow combinations

When you have N tools, creating agents for every possible workflow becomes unmanageable.

The Solution

Skills provide intelligent aggregation: N tools + 1 router = all possible combinations

How It Works

1. Write Your Skill

Create a SKILL.md file in Claude Code format:

---
name: research
description: Research expert
triggers:
  - "research"
  - "study"
tools:
  - WebSearch
  - WebFetch
---

## Execution Steps

1. Search for information
2. Fetch relevant pages
3. Extract key insights
4. Generate summary

2. Load and Convert

Use the loader to convert the Skill to your target platform:

Python (Agent SDK):

from skill_universal import SkillLoader

loader = SkillLoader()
skill = loader.load("skills/research/SKILL.md")
agent_config = skill.to_agent_sdk()

TypeScript (OpenClaw):

import { SkillLoader } from 'skill-universal';

const loader = new SkillLoader();
const skill = await loader.load('skills/research/SKILL.md');
const openclawConfig = skill.to_openclaw();

Supported Platforms

  • ✅ Claude Code - Native format
  • ✅ Agent SDK (Python/TypeScript) - Programmatic agents
  • ✅ OpenClaw - 24/7 automation
  • 🚧 LangChain - Coming soon
  • 🚧 LlamaIndex - Coming soon

Example Project

See skill-universal for a complete working example with:

  • 4 example Skills
  • Python and TypeScript loaders
  • Tests and documentation

Core Concepts

Skills as Tool Aggregators

Skills combine existing tools rather than reimplementing them:

tools:
  - WebSearch
  - WebFetch
  - Read
  - Write

Skills as Decision Engines

AI makes decisions about which tools to use and in what order:

User Intent → Skill Analyzes → Selects Tools → Executes

Skills as Execution Coordinators

Skills handle complex workflows automatically:

## Execution Steps

1. **Data Collection**
   - Search web (if needed)
   - Query GitHub (if needed)
   - Check database (if needed)

2. **Processing**
   - Extract relevant info
   - Cross-reference sources

3. **Output**
   - Generate report
   - Save to file

Benefits

  • ✅ Reduced Development Time: Days instead of years
  • ✅ Lower Maintenance: Declarative over procedural
  • ✅ Flexibility: Handle any combination dynamically
  • ✅ Scalability: Easy to add new tools

External Resources