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: human-activity-recognition

영문 디렉토리

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

23K
Stars
87/100
신뢰
카테고리: media-automation감사

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

177K
Stars
81/100
신뢰
카테고리: coding-agents감사

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

30K
Stars
88/100
신뢰
카테고리: coding-agents감사
Cli75

A versatile command-line tool for interacting with Google Workspace APIs, designed for both human users and AI agents.

30K
Stars
75/100
신뢰
카테고리: utility감사

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

22K
Stars
83/100
신뢰
카테고리: data-analysis감사

The world's simplest facial recognition api for Python and the command line

57K
Stars
77/100
신뢰
카테고리: ml-automation감사
Cli85

Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.

17K
Stars
85/100
신뢰
카테고리: productivity감사

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

15K
Stars
87/100
신뢰
카테고리: media-automation감사

Open-source & free — Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

21K
Stars
86/100
신뢰
카테고리: development감사

Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.

8.6K
Stars
77/100
신뢰
카테고리: media-automation감사

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.

18K
Stars
87/100
신뢰
카테고리: design-creative감사

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

23K
Stars
87/100
신뢰
카테고리: ml-automation감사