563 boosters for "skill" — open source, verified from GitHub, ready to install
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
Shape the user's intent into an objective an agent can pursue honestly. Prefer measurable outcomes, explicit evidence, and bounded scope over activity descriptions. This skill covers goal definition and goal-tool creation only. Do not create intermediate planning artifacts, durable snapshots, ledger
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.
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
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.
Use MCP to execute JavaScript in Figma files via the Plugin API. All detailed reference docs live in . Before anything, load plugin-api-standalone.index.md to understand what is possible. When you are asked to write plugin API code, use this context to grep plugin-api-standalone.d.ts for relevant t
Keep going until the selected migration is completely done: run the migrator, inspect the report, fix migrated Codex instructions/skills/agents/MCP config, and re-run checks without stopping to ask for confirmation of the next step. If the user has selected a target, do not ask before creating, edit
A skill for building and scaffolding ChatGPT Apps SDK applications that combine MCP servers with widget UIs, using a docs-first workflow. Developers building ChatGPT extensions and integrations benefit from structured guidance on tool design, UI registration, and SDK compliance.
Create a Codex-compatible animated pet from a concept, brand cue, company/prospect name, one or more reference images, or any combination of those inputs. This workflow keeps the deterministic hatch-pet pipeline for atlas geometry, validation, visual QA, and packaging, while using concise state-spec
A comprehensive collection of 1000+ production-ready agentic skills for Claude and related AI coding platforms, enabling developers to rapidly build autonomous multi-agent systems with specialized, battle-tested capabilities.
统一主入口是 。在支持 slash command 的宿主中,使用 。 对 Hermes 而言,只保证 这一条 slash 入口稳定;、、 的兼容语义保留在工具层和 preset 层,但不保证每个兼容名称都能作为 Hermes slash command 被路由。 当用户对已有 Skill 说以下内容时,进入进化模式:
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. ", "email": "junminliu@gmail.com"
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.
Rules and patterns for ML demos on Hugging Face Spaces with ZeroGPU hardware. Covers , duration and quota tuning, process isolation, the CUDA availability model, concurrency safety, and CUDA build constraints. This skill is for Gradio SDK Spaces using ZeroGPU hardware. Docker and Static Spaces canno
Finds the best models for a task by querying official HF benchmark leaderboards, enriching results with model size data, filtering for what fits on the user's device, and returning a comparison table with benchmark scores.
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 .
"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"