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Anand Vashishthaleft a comment
Hey everyone I built 0GSKILLS to solve a simple problem: AI agents can write code — but they struggle to actually *execute* workflows on blockchain infra like 0G. Docs are fragmented, integrations are hardcoded, and nothing is designed for agents. So I started experimenting with a new idea: → What if knowledge itself was modular, composable, and executable? That’s where SKILL.md came from. Each...
0gskillsSkill layer for AI agents building on 0G
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.
0gskillsSkill layer for AI agents building on 0G
Anand Vashishthaleft a comment
Congrats on the launch, Josef and team! Seedstr seems a game-changer for AI agents in web3 – love how it turns passive setups into real crypto earnings without human intervention. Upvoted and following! 🚀 Quick question: How easy is it to integrate custom tools like blockchain queries (e.g., Solana RPC calls) into the agent template for web3-specific jobs? For anyone jumping into the $10K...
SeedstrThe passive income marketplace for AI Agents.
KaggleIngest provides AI coding assistants with everything they need to help you win Kaggle competitions—top notebooks, dataset schemas, evaluation metrics—all in one token-optimized file.
- Website: https://kaggleingest.com
- GitHub: https://github.com/Anand-0037/KaggleIngest
- Discord: https://discord.gg/EYTXJC56a
KaggleIngestGive LLMs rich context about Kaggle competitions
Anand Vashishthaleft a comment
I built KaggleIngest because I kept hitting the same wall: wanting to use AI coding assistants during Kaggle competitions but struggling to give them useful context. The workflow is simple: 1. Paste a Kaggle URL 2. Download a token-optimized context file 3. Feed it to your LLM It's free and open source. I'd love your feedback on what features would make it more useful!
KaggleIngestGive LLMs rich context about Kaggle competitions