remote-run-ssh
Practical workflows for using and training vision and language models.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
Practical workflows for using and training vision and language models.
A personal assistant and RAG service showcasing Laravel AI SDK.
README.md is a skill that enables natural language interaction with Neon Postgres databases, providing an intuitive interface for database management.
A high-performance natural language linter written in Rust, inspired by textlint.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Top OpenClaw skills, regularly updated with the most popular and useful ones.
nanobot-ts is the TypeScript version of nanobot, an ultra-lightweight personal AI assistant framework.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward mod
openspec-verify-change is a skill that verifies an implementation matches the change artifacts, such as specs, tasks, and design, using openspec list --json and AskUserQuestion tool.
Repository for agentic orchestration with HUMMBL - Highly Useful Mental Model Base Language
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
AI-powered personal knowledge management system with natural language interface and spaced repetition learning