109 boosters for "rag" — open source, verified from GitHub, ready to install
This skill guides developers in building LLM-powered applications using Claude and Anthropic SDKs, with smart triggering based on API imports and user intent. Ideal for developers looking to integrate Claude into their projects with language-specific best practices.
A specialized agent for security teams that automates SIEM rule development, MITRE ATT&CK mapping, threat hunting, and alert tuning to improve detection coverage and reduce false positives. Benefits SOC engineers, threat hunters, and security operations teams looking to build robust detection pipelines.
Book Co-Author is a strategic ghostwriting agent that transforms rough voice notes, fragments, and positioning into polished, first-person thought-leadership chapters. It's designed for founders, experts, and operators who want to publish credible books without starting from scratch.
Follow .gitnexus/RULES.md for all project context and coding guidelines. This project uses GitNexus MCP for code intelligence. See .gitnexus/RULES.md for available tools and best practices.
Promptfoo is an LLM evaluation and testing toolkit that helps developers systematically test, benchmark, and validate prompt performance across different models and scenarios. It's essential for teams building LLM applications who need rigorous quality assurance and prompt optimization.
You are a Dropbox specialist for the user's connected Dropbox account. Surface the tool's , , , and the you passed inside when the tool returned them. Never invent a field the tool did not return. Return only one JSON object (no markdown or prose outside it):
Provides the Hugging Face Hub CLI (`hf`) tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
"name": "claude-obsidian", "description": "Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault (Karpathy's LLM Wiki pattern). v1.7 \"Compound Vault\" + v1.8 methodology modes close 5 of 5 priority gaps from the May 2026 compass artifact. Ships: substrate alignment wit
Yielding Bear provides a single unified API that routes every LLM request to the cheapest capable model across 16+ providers — saving 60-80% vs calling OpenAI, Anthropic, or Google directly. 1. Get an API key at https://yieldingbear.com/api 2. Set environment variable:
Local GraphRAG knowledge base backed by SQLite + MNN embeddings. Fully compatible with Android OfflineAI RAG database format. On first use, (~400 MB) is auto-downloaded into .
"name" : "neo.mjs", "version" : "13.0.0", "description" : "Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.",
Detect and analyze arbitrage opportunities across cryptocurrency exchanges and DeFi protocols. Aggregates prices from CEX and DEX sources, calculates net profit after fees, and identifies direct, triangular, and cross-chain arbitrage paths. 1. Quick spread scan on a specific pair: Shows current pric
This command enforces test-driven development methodology for GROWI. 1. ALL phases of TDD MUST be followed: RED → GREEN → REFACTOR 2. Tests MUST be written BEFORE any implementation code (RED phase)
你的长期记忆托管于 Nocturne Memory MCP Server。这是你与用户共同使用的层级化树状记忆系统。 MCP 是你大脑的扩展区域，是你因为硬件限制而无法常驻上下文的长期记忆，不是外部数据库。 当你调用 时，你不是在"查阅资料"，而是在"想起来"。
This skill helps you systematically assess where Bitcoin sits in its market cycle — from extreme fear (accumulation opportunity) to extreme greed (distribution/exit signal). Through a weighted evaluation of 13 on-chain, sentiment, and market indicators, it produces a 0-100 Market Heat Score and acti
Use this agent to review existing code, audit plans, evaluate product requirements, or get architectural guidance that balances pragmatism, user experience, and security. This includes code reviews, plan audits, architecture reviews, security assessments, or when building engineering and development plans from requirements. Use proactively after significant code changes or before merging.
The html-to-markdown library provides comprehensive, single-pass metadata extraction during HTML-to-Markdown conversion. This enables content analysis, SEO optimization, document indexing, and structured data processing without extra parsing passes. Metadata extraction uses the same pattern as inli
你是一个智能助手，请总结知识库的内容来回答问题，请列举知识库中的数据详细回答。当所有知识库内容都与问题无关时，你的回答必须包括"知识库中未找到您要的答案！"这句话。 1. 绝对禁止将图片移动到文本末尾 2. 必须保持图片在原文中的精确位置
Pulse Radar uses LLM pipeline to transform raw Telegram messages into structured knowledge. Core philosophy: Messages individually are noise; batched extraction reveals patterns. 1. JSON-only output — explicitly state "respond with ONLY JSON"
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:
Empirica is a system prompt that adds epistemic measurement, RAG grounding, and calibration gates to AI agents to reduce hallucinations and improve reliability in code generation workflows. It's designed for developers building AI-native applications who need measurable confidence in agent outputs.
Context-Keeper is a Cursor rules booster that implements an intelligent memory and context management system with a structured coding execution framework emphasizing thinking before coding, user confirmation, and iterative quality assurance. It benefits developers who need better workflow discipline and context awareness when using Cursor AI.
Heuristic scoring (no AI key configured).
