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: automatic-paper-survey

英文目录

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

23K
Stars
87/100
信任
分类: media-automation审计

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

30K
Stars
88/100
信任
分类: coding-agents审计

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

30K
Stars
87/100
信任
分类: rag-knowledge审计

Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS

73K
Stars
80/100
信任
分类: legal-compliance审计

AI-agent Skill for generating polished HTML slide decks: editorial magazine and Swiss layouts, image prompts, social covers, and a WebGL/low-power presentation runtime.

25K
Stars
88/100
信任
分类: agent-skills审计

A Codex skill for generating minimal zine-style editorial poster prompts and images.

6.3K
Stars
83/100
信任
分类: design-creative审计

Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.

1.5K
Stars
74/100
信任
分类: design-creative审计

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

7.9K
Stars
81/100
信任
分类: web-automation审计

Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.

1.3K
Stars
86/100
信任
分类: utility审计

High accuracy RAG for answering questions from scientific documents with citations

8.7K
Stars
86/100
信任
分类: data审计

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

67K
Stars
84/100
信任
分类: ml-automation审计

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

7.5K
Stars
86/100
信任
分类: ml-automation审计