技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: pixel-art

英文目录

Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.

171K
Stars
81/100
信任
分类: design-creative审计

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

162K
Stars
87/100
信任
分类: ml-automation审计

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

34K
Stars
87/100
信任
分类: media-automation审计

Community-built comprehensive 2D content creation appplication for graphic design, digital art, and interactive real-time motion graphics powered by a node-based procedural graphics engine

26K
Stars
87/100
信任
分类: design-creative审计

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

9.5K
Stars
76/100
信任
分类: ml-automation审计

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
信任
分类: design-creative审计

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

7.0K
Stars
84/100
信任
分类: agent-frameworks审计

The collection of pre-trained, state-of-the-art AI models for ailia SDK

2.4K
Stars
76/100
信任
分类: rag-knowledge审计

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

6.1K
Stars
86/100
信任
分类: ml-automation审计

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

4.7K
Stars
76/100
信任
分类: ml-automation审计

A Claude Code skill that directs website creation like a film, with art direction locking, local asset generation, and an executable anti-slop linter gating every deployment.

1.0K
Stars
85/100
信任
分类: design-creative审计

A pixel desktop pet that watches Claude Code, Codex, Cursor & other AI coding agents — so you don't have to.

4.4K
Stars
85/100
信任
分类: coding-agents审计