83 boosters for "rag" — open source, verified from GitHub, ready to install
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.
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.
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.
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.
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 .
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:
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
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).
This skill generates reusable Relay-based Nodes components that: Activate this skill when users ask to: The skill automatically determines:
"name": "@cyanheads/mcp-ts-core", "version": "0.2.11", "mcpName": "io.github.cyanheads/mcp-ts-core",
Use this skill for analysis-only work and fresh workflow bootstrap. In this repository, use the repo-root wrapper: Run outside sandboxed environments by default. Do not first attempt the Playwright crawl inside the sandbox and then retry after it is intercepted.
Guides developers on calling Erlang code from Gleam, leveraging the BEAM ecosystem while maintaining type safety. Essential for Gleam developers integrating with Erlang libraries or NIFs.
Teaches developers to write JavaScript leveraging Brendan Eich's core design principles—first-class functions, prototypes, and dynamic typing—for more idiomatic and powerful code. Best for intermediate to advanced developers wanting to deepen their JavaScript fundamentals.
Circuitron is an AI-powered PCB design accelerator that converts natural language requirements into SKiDL scripts, KiCad schematics, and PCB layouts using a multi-agent orchestration pipeline. The system follows a sophisticated, multi-stage agent workflow defined in . It is not a simple linear seque
PR Metrics is a cross-platform GitHub Action and Azure DevOps task that analyzes pull request size and test coverage, updating PR titles with indicators (XS, S, M, L, XL, 2XL, etc) and test coverage symbols (✔ or ⚠️).
"name": "ai-software-architect", "description": "AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode", "name": "AI Software Architect Project"
