Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: downloads-organizer

영문 디렉토리

Ouroboros — self-creating AI agent. Born Feb 16, 2026.

926
Stars
76/100
신뢰
카테고리: utility감사

A Three.js agent skill pack for generating high-quality 3D graphics, scenes, and games, packaged for AI coding agents like Claude Code, Codex, and Cursor.

530
Stars
84/100
신뢰
카테고리: design-creative감사
Cli71

🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.

38K
Stars
71/100
신뢰
카테고리: coding-agents감사

Automatically downloads, installs, and deploys genuine Windows and Office with one click. This tool is completely free, ad-free, green, non-toxic, simple, efficient and safe.

2.7K
Stars
76/100
신뢰
카테고리: productivity-automation감사

Local Twitter/X bookmark organizer with AI categorization and mindmap visualization

2.5K
Stars
83/100
신뢰
카테고리: productivity-automation감사

CLI client for installing and managing verified AI agent skillsets from the Nori Skillsets registry, supporting multiple coding agents.

148
Stars
73/100
신뢰
카테고리: coding-agents감사

A curated collection of modular agent skills for LLM-based agents, covering research, data analysis, and more.

146
Stars
76/100
신뢰
카테고리: utility감사

Agent Skill for building evidence-backed Markdown knowledge bases with zero-cost setup, image-aware capture, automatic wiki maintenance, and an interactive knowledge graph—without requiring a RAG stack or Obsidian.

144
Stars
76/100
신뢰
카테고리: utility감사

CLI tool to inject stored credentials into curl requests for AI agents interacting with public APIs.

120
Stars
70/100
신뢰
카테고리: utility감사

Fizzy CLI and Agent Skills

205
Stars
71/100
신뢰
카테고리: utility감사

Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use when the user asks to analyze their recent work and propose skills based on what they actually do. Requires the screenpipe daemon (https://github.com/screenpipe/screenpipe) running locally on port 3030 — the skill has no other data source and will refuse to run if screenpipe is unreachable. All detection runs locally; only redacted cluster summaries reach the LLM.

34K
Stars
70/100
신뢰
카테고리: research감사