The missing knowledge layer between AI agents and 0G application builds.
0Gskills provides modular, machine-readable SKILL.md guides for the 0G Chain ecosystem, covering EVM compatibility, storage orchestration, and decentralized compute.
- Modular Knowledge: Each topic is a standalone, version-controlled
SKILL.mdguide. - Agent-First Design: Content is optimized for consumption by LLM-based agents and IDEs.
- Protocol Aligned: Aligned with official 0G documentation to ensure build accuracy.
The system provides a high-performance, structured API for automated discovery and consumption of 0G skills.
Retrieve a specific skill by topic name.
# Get a specific skill as JSON
curl -sS "https://0gskills.com/api/skill?topic=ship"
# Get only metadata (title, summary) for fast discovery
curl -sS "https://0gskills.com/api/skill?topic=ship&compact=true"
# List all available topics
curl -sS "https://0gskills.com/api/skill?topics=list"Follow internal cross-links and include summaries of related skills.
# Fetch skill with related context (depth=2)
curl -sS "https://0gskills.com/api/skill?topic=ship&depth=2"Keyword search over all skill titles and descriptions.
# Search for specific 0G concepts
curl -sS "https://0gskills.com/api/search?q=storage%20provider"- JSON (Default): Parsed structure with
title,summary,sections[], andlinks[]. - Markdown: Raw
SKILL.mdpassthrough viaformat=markdownparameter.
For developers contributing to the 0Gskills knowledge layer:
# Serve content statically
python3 -m http.server 8080We welcome contributions to the knowledge layer. Please ensure each SKILL.md is self-contained and links to authoritative source documentation.
- Discord: 0G Labs Official
- Official Docs: docs.0g.ai
Released under the MIT License.