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: spotlight

영문 디렉토리

Interactively explore unstructured datasets from your dataframe.

1.3K
Stars
77/100
신뢰
카테고리: data-analysis감사

Deep recommender models using PyTorch.

3.0K
Stars
70/100
신뢰
카테고리: ml-automation감사

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.

3.4K
Stars
79/100
신뢰
카테고리: media-automation감사

Generate highly simplified personified IP mascot logos with Flat-first geometry, rounded heavy forms, two IP colors plus one background color by default, and extremely subtle neo-skeuomorphic shading. Use when creating an animal, creature, robot, ghost, plant, object, or other character as a minimal square logo or app-icon artwork, including when the agent should infer three distinct IP directions from product-repository context.

2.0K
Stars
73/100
신뢰
카테고리: automation감사

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

2.1K
Stars
73/100
신뢰
카테고리: ml-automation감사

An open-source, cross OS, community-driven launcher. A lightweight alternative to Spotlight and Raycast. I'm working on this project with AI agents.

346
Stars
70/100
신뢰
카테고리: productivity-automation감사

Sotopia: an Open-ended Social Learning Environment (ICLR 2024 spotlight)

312
Stars
68/100
신뢰
카테고리: agent-frameworks감사

[NeurIPS 2025 Spotlight] A Unified Tokenizer for Visual Generation and Understanding

527
Stars
69/100
신뢰
카테고리: media-automation감사

Benchmark for automated failure attributions in agentic systems (🏆 ICML 2025 Spotlight)

381
Stars
67/100
신뢰
카테고리: agent-frameworks감사

AI-powered PPT generation — 40,000+ style combinations, narrative-driven, design-intelligent, AI images, fully editable .pptx. Three modes: Build (default) + VI Build + FreeStyle (quick draft). 8 goal-type layouts, 35 moods, README parsing, size-aware image assignment, 3 structurally-different build.py proposals, brand compliance. Engines: Seedream, GPT Image, DALL-E, Wanx, Kimi.

240
Stars
64/100
신뢰
카테고리: security감사

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

856
Stars
61/100
신뢰
카테고리: robotics-iot감사

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)

631
Stars
61/100
신뢰
카테고리: robotics-iot감사