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Explore the skillSkald
skaldlabs
Context layer platform in your infrastructure
OPENAGENTSKILL / DIRECTORY
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196 Skills
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Explore the skillskaldlabs
Context layer platform in your infrastructure
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Explore the skillhhy-huang
[EMNLP'25 findings] This is the official repo for the paper, HiRAG: Retrieval-Augmented Generation with Hierarchical Knowledge.
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Explore the skillczlonkowski
Design n8n AI agents the right way. Use when building or editing any @n8n/n8n-nodes-langchain.* AI node — an AI Agent, LLM chain, Text Classifier, or Information Extract…
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Explore the skillDEEP-PolyU
[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
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Explore the skillbiao994
工程化 RAG 文档助手:知识库、PDF 索引、Agent 工具编排、scope 检索、引用溯源与拒答阈值。FastAPI + Vue3
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NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
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Explore the skillSocialAI-tianji
制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程
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Explore the skillsupermemoryai
A filesystem designed for agents, with SOTA retrieval, automatic memory profiles, sync engine. Drop any file type (pdf, images, videos), and grep through them.
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Explore the skillfinic-ai
🤖 Deploy a private ChatGPT alternative hosted within your VPC. 🔮 Connect it to your organization's knowledge base and use it as a corporate oracle. Supports open-sourc…
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Explore the skillMLSysOps
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 O…
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Explore the skillKruxAI
A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data
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Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
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Explore the skillTIGER-AI-Lab
Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]
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A conversational Q&A agent configuration system, self-hosted deployment solutions, and a convenient all-in-one application SDK, allowing you to create intelligent Q&A bo…
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Explore the skillModelEngine-Group
DataMate is an enterprise-level data processing platform designed for model fine-tuning and RAG retrieval.
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Explore the skillAgentEvalHQ
AgentEval is the comprehensive .NET toolkit for AI agent evaluation—tool usage validation, RAG quality metrics, stochastic evaluation, and model comparison—built first f…
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.
SEO, content research, growth workflows, social listening, campaign analysis, and publishing helpers.