127 boosters for "RAG" — open source, verified from GitHub, ready to install
"description": "Claude Mind - Give Claude photographic memory in ONE portable file. Share, version, and transfer your Claude's brain.", "version": "1.0.11", "url": "https://memvid.com"
Build robust native Android applications using Kotlin with modern architecture patterns, Jetpack libraries, and Compose for declarative UI.
This skill provides production-ready operational patterns for designing, building, evaluating, and deploying AI agents. It centralizes procedures, checklists, decision rules, and templates used across RAG agents, tool-using agents, OS agents, and multi-agent systems. No theory. No narrative. Only wh
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.
"description": "Agent skill for the KSafe Kotlin Multiplatform encrypted persistence library — setup, usage patterns, anti-patterns, and debugging.", "name": "Ioannis Anifantakis"
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.
Refero gives agents taste and product evidence. Use it before design work instead of relying on generic model knowledge. Refero has three research layers:
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).
Use this skill for analysis-only work and fresh workflow bootstrap. In this repository, use the repo-root wrapper: launches a real Chromium via Playwright to fetch the target site over HTTP. Run it in an environment that permits outbound network and local browser execution; environments that restric
This skill generates reusable Relay-based Nodes components that: Activate this skill when users ask to: The skill automatically determines:
Multi-source literature search with adjustable depth. Four tiers, five data sources orchestrated by you (the main agent). Python helpers handle deterministic work; LLM classification is delegated to parallel Inline SubAgents — no external API key required. who wants an HTML report)**, do NOT hand-ru
"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.
Preserve the intentionally excessive config surface.
"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"
"name": "@ragieai/mcp-server", "description": "A Model Context Protocol (MCP) server for Ragie", "author": "Ragie Corp",
Generate production-grade animations using Motion.dev following Apple/Jon Ive principles: ❌ Don't use for: Determine project context and animation goals:
