Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: prompt-retrieval

Direktori bahasa Inggris

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

17K
Stars
87/100
Kepercayaan
Kategori: design-creativeAudit

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

83K
Stars
87/100
Kepercayaan
Kategori: agent-frameworksAudit

A collection of practical, installable AI agent skills for disk cleanup, AI news retrieval, and project management, following the Agent Skills standard.

20K
Stars
90/100
Kepercayaan
Kategori: utilityAudit

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

37K
Stars
82/100
Kepercayaan
Kategori: rag-knowledgeAudit

A modular graph-based Retrieval-Augmented Generation (RAG) system

34K
Stars
82/100
Kepercayaan
Kategori: dataAudit

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23

29K
Stars
79/100
Kepercayaan
Kategori: developmentAudit

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

28K
Stars
78/100
Kepercayaan
Kategori: rag-knowledgeAudit

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26K
Stars
87/100
Kepercayaan
Kategori: dataAudit

A tool that lets AI agents like Claude Code edit videos by cutting filler words, color grading, adding subtitles, and more, all via natural language commands.

17K
Stars
85/100
Kepercayaan
Kategori: mediaAudit

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

6.3K
Stars
83/100
Kepercayaan
Kategori: design-creativeAudit

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

76K
Stars
86/100
Kepercayaan
Kategori: agent-frameworksAudit