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: novel-categories

영문 디렉토리

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
신뢰
카테고리: coding-agents감사

🔒 Consolidating and extending hosts files from several well-curated sources. Optionally pick extensions for porn, social media, and other categories.

31K
Stars
87/100
신뢰
카테고리: legal-compliance감사

视觉小说翻译器 / Visual Novel Translator

12K
Stars
82/100
신뢰
카테고리: document-processing감사

A collection of agent skills for AI short-drama production, covering character bibles, outlines, art bibles, scripts, and storyboards, designed for Claude Code and Codex.

1.6K
Stars
86/100
신뢰
카테고리: design-creative감사

Autonomous novel writing AI Agent — agents write, audit, and revise novels with human review gates

7.6K
Stars
83/100
신뢰
카테고리: agent-frameworks감사

A novel Android app store focused on security, privacy, and usability

2.2K
Stars
81/100
신뢰
카테고리: legal-compliance감사

AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.

1.8K
Stars
77/100
신뢰
카테고리: development감사

面向长篇小说创作的 AI Native 开源系统,用 Agent、世界观、写法引擎、RAG 和整本生产工作流,帮助新手从一句灵感走到完整小说。AI-native engine for end-to-end novel creation — from idea to full chapters, with structured planning, worldbuilding, and agent-driven workflows.

1.6K
Stars
76/100
신뢰
카테고리: rag-knowledge감사

A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

1.5K
Stars
84/100
신뢰
카테고리: support-automation감사

🤖 The most comprehensive list of AI agents, frameworks & tools in 2026. 300+ resources · 20+ categories · Updated monthly.

1.4K
Stars
76/100
신뢰
카테고리: agent-frameworks감사

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

2.3K
Stars
75/100
신뢰
카테고리: robotics-iot감사

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

51K
Stars
83/100
신뢰
카테고리: research감사