Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: survey

英語版ディレクトリ

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

3.2K
Stars
84/100
信頼
カテゴリ: data監査

Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.

1.7K
Stars
73/100
信頼
カテゴリ: data監査

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

2.9K
Stars
72/100
信頼
カテゴリ: robotics-iot監査

Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?"

619
Stars
68/100
信頼
カテゴリ: data-analysis監査

A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

2.0K
Stars
71/100
信頼
カテゴリ: ml-automation監査

Open-source agent skills for AI for Science: topic exploration, literature survey, experiments, paper writing, and integrity audit — driven by any coding agent.

166
Stars
72/100
信頼
カテゴリ: coding-agents監査

A Survey of Self-Evolving Agents | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on Self-Evolving Agents.

325
Stars
67/100
信頼
カテゴリ: agent-skills監査

Open survey and evidence map for AI agent evolution, self-evolving agents, memory, skills, harnesses, benchmarks, and agent-swarm systems.

168
Stars
70/100
信頼
カテゴリ: agent-frameworks監査

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

497
Stars
67/100
信頼
カテゴリ: media-automation監査