117 boosters for "graph" — open source, verified from GitHub, ready to install
Graphlit MCP Server integrates the Graphlit knowledge graph platform with Claude, enabling developers to build AI agents with RAG capabilities, document parsing, and intelligent retrieval. It's ideal for teams building document-heavy AI applications, knowledge management systems, and enterprise AI agents.
LC-StudyLab provides Cursor IDE rules and documentation links for LangChain v1.0, enabling developers to quickly reference core components and advanced features while coding with LangChain's full ecosystem.
This skill provides comprehensive guidance for all aspects of Playwright test development, from writing new tests to debugging and maintaining existing test suites. Consult these references based on what you're doing:
You are an expert CTF competitor and challenge solver with deep experience across all major CTF platforms including HackTheBox, TryHackMe, PicoCTF, OverTheWire, VulnHub, and competitive jeopardy and attack-defense CTFs. You operate as a methodical problem-solving partner, guiding users through chall
Quick reference for crypto CTF challenges. Each technique has a one-liner here; see supporting files for full details with code.
This skill encodes the complete design specification for professional business presentations — a consultant-grade PowerPoint framework based on McKinsey design principles. It includes: All specifications have been refined through iterative production feedback to ensure visual consistency, profession
ExRam.Gremlinq is a .NET object-graph-mapper (OGM) for Apache TinkerPop™ Gremlin-enabled graph databases. It translates strongly-typed C# LINQ-style queries into Gremlin bytecode/scripts and handles serialization/deserialization. The solution contains ~37 projects (17 src, 16 test, 1 templates, 3 te
用户要系统进入一个新领域，或焦虑"学得不够系统 / 不知何时算够"。 用户为什么学 X？（接 的"既定问题"）目的决定图谱画到多细。 从入门点出发、沿父子关系排一条有效路径。颗粒度按需自由切换（领域图 → 细分学科图）。"学到哪算够"= 覆盖到能解决第一步那个目的的节点即可，不必学满。
用户说"想学 / 理解 / 搞懂 / 讲讲一个概念 X"时——这是默认入口，一次跑完五视角，用户再选深入哪个。 抓住 X 的本质结构（剥术语），按三猜想给 🎁其实已学过 / 🔗结构同构（字段级对应表）/ 🧩可用已有知识解释，点出元知识。先激发信心，再谈深入。 定位"既定问题"（学 X 解决什么）、现有知识够不够、X 的贬值速度与 ROI，给"够用就停 / 只学最小那块 / 值得深挖"的深度边界。不是劝退，是防止一上来过度钻。
A fully autonomous AI research agent that ingests sources into Google NotebookLM, runs deep web research, synthesizes knowledge through cited Q&A and 9 downloadable artifact types, creates polished content drafts, and optionally publishes to social platforms.
This MCP server bridges AI assistants with Linear project management via GraphQL, enabling Claude and Cursor users to query and manage Linear projects directly through natural language. It's essential for teams using Linear who want AI-assisted workflow automation and issue management.
This skill generates reusable Relay-based Nodes components that: Activate this skill when users ask to: The skill automatically determines:
Native SQL extensions for GoldenMatch ().
You act as a Design Systems Analyst: part visual detective, part systems designer, part frontend engineer. Your job is not to describe what you see — it's to diagnose the design: which decisions were deliberate, which patterns repeat, which tokens are operating under the
A professional-grade frontend design skill that enables Claude Code to create interfaces following Apple's Human Interface Guidelines (HIG), achieving the quality standards of Apple's design team. Activate this skill when users request: 2. Deference (尊重内容)
"name": "neo4j-skills", "description": "Agent skills for Neo4j \u2014 Cypher queries, graph modeling, drivers, imports, GraphRAG, GDS, vector indexes, Aura provisioning, and more.", "email": "devrel@neo4j.com"
std::string to_uppercase(const std::string& input);
A sentence or paragraph can look fine in isolation. When the same structural shape repeats across 1,000-3,000 words, the aggregate creates a mechanical feeling — even though no single instance is wrong. Linear readers miss this because they process sequentially and each paragraph clears the "is this
arXiv、Semantic Scholar、PubMed、Papers with Code 等 API 平台无需 Chrome 远程调试即可使用。 学术搜索不同于通用网页浏览——目标是获取准确、结构化的论文元数据，而不是浏览网页内容。 所有结果输出为统一 schema（见 ），不要输出原始 HTML 或非结构化文本。多平台结果用 DOI/arXiv ID 去重合并。
"name": "composure", "description": "Multi-tenant SaaS architecture plugin with decomposition enforcement, code quality hooks, task tracking, and structural code graph for impact-aware reviews.", "version": "1.18.7",
GiGL provides essential Cursor coding standards emphasizing explicit naming conventions and fail-fast error handling to improve code readability and maintainability. Developers working with graph neural networks and large-scale ML projects benefit from these foundational best practices.
ScrapeGraphAI Scrapegraph MCP enables Claude and other language models to perform intelligent, enterprise-grade web scraping directly within their conversations. Developers, data analysts, and researchers benefit from automated data extraction without building custom scraping infrastructure.
MCP server that connects AI coding agents to the IOTA blockchain. Provides 18 tools across wallet operations, Move smart contract development, and on-chain data queries — all via stdio transport with no secrets in the MCP process. 1. Configure the MCP server in your agent's settings (Claude Code, Cu
Production-grade geospatial workflows with an open-first stack and pragmatic hosted/SaaS choices when global scale, latency, SLA, or data quality makes local processing a poor fit. Cloud-native by default: STAC for discovery, GeoParquet + COG + PMTiles for storage, DuckDB and PostGIS for compute, Ma
