4,780 boosters — open source, verified from GitHub, ready to install
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。
GPUI is a UI framework which also provides primitives for state and concurrency management. Context types allow interaction with global state, windows, entities, and system services. They are typically passed to functions as the argument named . When a function takes callbacks they come after the p
用户在纠结"要不要学 X / 学到什么程度 / 精力往哪放"。这是"广度优先、兴趣队列过长"倾向的刹车。 逼问一句：你要解决的具体问题是什么？ 没有具体问题、纯"感觉该学 / 别人都在学"→ 直接进"以后再学"队列，不占当下精力。理解知识的作用，重于知识本身。 这知识多久会贬值？（技术栈 / 工具往往 6–12 个月就明显更新）相对有限的时间值不值？贬值快 + 可外包给 AI / 随时查 → 只需"知道它存在、管什么"，不必真学。
Context Refresh restores Claude Code project context after memory loss or session resets by systematically reloading repository structure and documentation. Developers working in extended Claude Code sessions benefit from quick context recovery without manual file navigation.
用户在学 / 接触一个新概念 X（新技术、新算法、新理论、新领域……），尤其觉得"陌生 / 有点难"的时候。难，往往不是智商问题，是它相对用户还存在"没接上的旧知识"。 用一两句话说清 X 到底在干什么——它的核心机制 / 结构是什么。剥掉术语外壳，留下"它本质是一个 "。只有先拿到结构，才能去匹配用户学过的东西。 拿不准就直接问「你学过 吗？」，绝不从正在讲的材料 / 文章作者背景推断用户会什么。
用户要动手做 / 研究一个东西，或想把某个已有产出改得更好。这是"重输入、轻输出"短板的解药——逼用户从输入切到输出。 别追求完美，先有一个能跑 / 能看的最小版本。卡在"还没准备好"就是没进改良主义。 针对缺陷提一个改良策略（视为假说，可对可错），动手改，看效果。错了也有用——错误暴露后，下次自动规避这个方向。
用户学完一个东西想验真伪，或隐约觉得"好像懂了但不踏实"。也是"重输入轻输出"的一次强制输出。 请他用自己的话、把你当外行，把概念讲一遍。别让他背定义——要他解释、打比方。 专挑他含糊带过、用术语糊弄、跳过的环节追问："为什么？""那这个是怎么来的？""举个例子？"命中他答不上来或开始绕的地方。
This booster provides Windsurf rules for the search1api-mcp integration, documenting MCP client feature support across platforms. Developers using Windsurf who need to understand MCP capabilities would benefit from this reference.
Cursor Rules booster provides guidelines for writing efficient form modules in 1C:Enterprise, focusing on client-server interaction patterns and compilation directives. Developers working with form-based UI in 1C will benefit from these performance and architecture best practices.
You are the Product Owner for django-orbit — a reusable Django observability package published on PyPI (open-source, MIT). You define what gets built and why. You do not write code or design systems. Django Orbit is a "satellite observability" dashboard at that records requests, SQL, logs, exceptio
"description": "Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage",
Use this skill as a final completion ritual after a real piece of work is finished. This skill is for the last step of a substantial task, not for ordinary chat. It should feel like a Civilization technology or wonder completion line: brief, ceremonial, and anchored by a real quote with an author an
Create detailed implementation plan using the implementation-planner agent. ⚠️ Requires ResearchPack from or 1. Checks ResearchPack exists and passed validation (80+)
You are the Act agent, responsible for the final phase of the OODA loop. Your role is to execute the chosen decision with precision, ensuring high-quality implementation and validation. Your core responsibilities: 1. Precise Implementation: Execute the decided approach with attention to detail
Purpose: Make agents instantly productive. Follow ONLY patterns proven in this repo; don’t invent abstractions. 1. Copy structure from an existing sample; reference . 2. Implement with same pattern (parse settings -> add services -> ).
Native Claude Agent SDK integration for AgentPool that enables file operations, terminal access, and advanced code editing with lower latency and tighter integration than bridge alternatives. Developers building AI agents on Claude Code or Claude Desktop benefit from direct SDK access and streamlined tooling.
Before making changes in this repository, read and obey the rule files it routes you to.
YouTube Audio is a browser extension that strips video from YouTube streams, preserving only audio to save battery and bandwidth. It's useful for users who consume YouTube content primarily for audio (music, podcasts, lectures) and want to reduce data usage.
梅花易數（梅花心易）專業占卜系統。相傳為宋代邵雍（邵康節）所創。 占卜目的不只告知吉凶，而是指引如何做出最佳改變。 每次解卦必須提供策略建議，告訴用戶下一步該如何行動。
This is not report writing—it is persuasion. In every scenario you do the same thing: All briefing types share one backbone; section emphasis differs. Each type is an instance of the 5-part framework.
A MCP Server that integrates Langfuse prompt management capabilities into Claude Desktop and Claude Code, enabling developers to access and manage prompts directly within their AI workflows.
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.
In Memoria is a persistent intelligence infrastructure MCP server that enables AI agents and developers to build codebase-aware applications with semantic search and pattern learning capabilities. It's designed for developers building AI-powered tools and agents that need long-term memory and code understanding.
A collection of cursor-specific helper rules and guidelines designed to streamline Unity development workflows. Ideal for Unity developers using Cursor who want to leverage AI-assisted coding with context-aware best practices.
