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: execution-layer

Direktori bahasa Inggris

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

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
Kepercayaan
Kategori: rag-knowledgeAudit

Universal memory layer for AI Agents

61K
Stars
82/100
Kepercayaan
Kategori: agent-frameworksAudit
Cli85

Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.

17K
Stars
85/100
Kepercayaan
Kategori: productivityAudit

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

34K
Stars
86/100
Kepercayaan
Kategori: document-processingAudit

Conductor is an event driven agentic workflow engine providing durable and highly resilient execution engine for applications and AI Agents

32K
Stars
87/100
Kepercayaan
Kategori: automationAudit
Sim87

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

29K
Stars
87/100
Kepercayaan
Kategori: dataAudit

PM Skills Marketplace: 100+ agentic skills, commands, and plugins โ€” from discovery to strategy, execution, launch, and growth.

22K
Stars
86/100
Kepercayaan
Kategori: agent-skillsAudit

๐Ÿ“Š Cube Core is open-source semantic layer for AI, BI and embedded analytics

20K
Stars
77/100
Kepercayaan
Kategori: data-analysisAudit

Core skill set for the OpenClaw autonomous agent platform

46K
Stars
82/100
Kepercayaan
Kategori: agent-frameworksAudit

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

16K
Stars
86/100
Kepercayaan
Kategori: rag-knowledgeAudit

Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.

16K
Stars
77/100
Kepercayaan
Kategori: dataAudit