0gskills
Skill layer for AI agents building on 0G
What it does
0GSKILLS is a modular skill layer that helps AI agents and developers build, deploy, and interact with apps on 0G using structured markdown (SKILL.md). Instead of fragmented docs or hardcoded workflows, each skill is a composable, agent-readable module that can be fetched and executed via simple endpoints or CLI. Built for the future of autonomous, AI-native development on 0G.
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- MTMakeSkill – The Intelligent Skill Builder for ClaudeNov 2025 · makeskill.cc · ▲9
Creating high-quality skills for Claude manually is complex, requiring specific technical knowledge of the file system structure (like SKILL.md), YAML metadata configuration, and precise prompt engineering to ensure the agent behaves correctly. MakeSkill eliminates this friction by automating the technical implementation. Instead of writing code and configuration files from scratch, users interact with MakeSkill's AI to refine their ideas. The platform then generates the complete, optimized skill package—following all best practices—ready to be downloaded and imported directly into Claude…
- OSOpenSkills – Stop bloating your LLM context with unused instructionsJan 2026 · ▲9
Hello HN, I’ve been building AI agents lately and ran into a common "Context Bloat" problem. When an agent has 20+ skills, stuffing every system prompt, reference doc, and tool definition into a single request quickly hits token limits and degrades model performance (the "lost in the middle" problem). To solve this, I built OpenSkills, an open-source SDK that implements a Progressive Disclosure Architecture for agent skills. The Core Concept: Instead of loading everything upfront, OpenSkills splits a skill into three layers: Layer 1 (Metadata): Light-weight tags and triggers (always loaded…
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