385 boosters for "skill" — open source, verified from GitHub, ready to install
skill-installer automates the discovery and installation of Codex skills from curated repositories and GitHub sources, streamlining the setup process for developers building AI-assisted coding workflows.
Create a real CLI that future Codex threads can run by command name from any working directory. This skill is for durable tools, not one-off scripts. If a short script in the current repo solves the task, write the script there instead. Name the target tool, its source, and the first real jobs it sh
A meta-guide that helps users create or update specialized skills to extend Codex's capabilities with domain-specific knowledge and workflows. Developers and AI agents building custom extensions benefit from this structured approach to skill development.
Build professional-grade design systems in Figma that match code. This skill orchestrates multi-phase workflows across 20–100+ calls, enforcing quality patterns from real-world design systems (Material 3, Polaris, Figma UI3, Simple DS). Every design system build follows this phase order. Skipping o
This MCP server enables users to search and discover Agent Skills from the skills.sh registry, helping developers find and integrate pre-built automation capabilities into their AI agents.
A skill that helps developers create distinctive, production-grade frontend interfaces with polished aesthetics and creative design choices, avoiding generic AI-generated outputs. Ideal for developers building web components, pages, and applications who want professional design quality.
"name": "baoyu-skills", "name": "Jim Liu (宝玉)", "email": "junminliu@gmail.com"
The most comprehensive open-source library of Claude Code skills and agent plugins — also works with OpenAI Codex, Gemini CLI, Cursor, and 7 more coding agents. Reusable expertise packages covering engineering, DevOps, marketing, compliance, C-level advisory, and more. ![License: MIT](https://openso
Run any workload on fully managed Hugging Face infrastructure. No local setup required—jobs run on cloud CPUs, GPUs, or TPUs and can persist results to the Hugging Face Hub. Use this skill when users want to: When assisting with jobs:
"name": "huggingface-skills", "description": "Agent Skills for AI/ML tasks including dataset creation, model training, evaluation, and research paper publishing on Hugging Face Hub", "name": "Hugging Face"
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the command line tool. Model and Dataset cards can be accessed from repos
Provides the Hugging Face Hub CLI (`hf`) tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
Use this skill to execute read-only Dataset Viewer API calls for dataset exploration and extraction. 1. Optionally validate dataset availability with . 2. Resolve + with .
This skill enables users to run Python workloads, Docker jobs, and GPU-intensive tasks on Hugging Face's managed infrastructure without local setup. It's valuable for ML engineers, data scientists, and developers needing cloud compute for training, inference, and batch processing.
A skill for querying and exploring Hugging Face datasets through the Dataset Viewer API, enabling developers to fetch metadata, paginate rows, search, filter, and download parquet files. Useful for data scientists and engineers working with public datasets in their AI/ML workflows.
A skill that generates reusable command-line scripts for automating Hugging Face API interactions, useful for developers who need to repeatedly fetch, process, or chain API calls.
A skill for fine-tuning and training language models on Hugging Face's cloud GPU infrastructure using TRL, supporting SFT, DPO, GRPO methods and GGUF conversion for local deployment. Developers and ML engineers working with cloud-based model training benefit from this comprehensive guidance.
Generates per-category catalog JSON files from the npm package's public API. Each catalog lists all UseCase and EventHandler abstractions in a category with their resolved source file paths. LLMs read source files on demand for exact, up-to-date types — no enrichment phase needed. 1. Discovers all
"name": "understand-anything", "description": "AI-powered codebase understanding — analyze, visualize, and explain any project", "homepage": "https://github.com/Lum1104/Understand-Anything",
A CLI tool for managing and installing reusable skills across multiple AI coding agents (Claude Code, Cursor, etc.), enabling developers to extend agent capabilities with pre-built tools and workflows from repositories like GitHub and GitLab.
The changelog should focus on the user-facing changes and user-facing effects of changes. We do not need to record the internal details of changes in the changelog. When updating the changelog stick to the existing writing style and formatting.
A Claude Code plugin marketplace from Trail of Bits providing skills to enhance AI-assisted security analysis, testing, and development workflows. Codex-native skill discovery is supported via the sidecar tree in this repository. See [](.codex/INSTALL.md) for additional details.
A Chinese academic paper editing prompt that removes AI-generated traces and humanizes writing to match natural scholar voice. Benefits researchers, students, and academics writing in Chinese who want their papers to sound authentically human rather than AI-generated.
A Bash CLI wrapper for the EODHD financial data API designed for OpenClaw agents, with built-in secrets management and secure deployment practices. Useful for developers building open-source integrations that need stateless API access without credential exposure.
