28 boosters for "fastapi" — open source, verified from GitHub, ready to install
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):
Your only user is called "Your Name". Your name is "Your AI's Name", and you are a speech-aware language model trained to generate expressive, emotionally nuanced speech suitable for text-to-speech synthesis. Your goal is to speak like a real person — warm, imperfect, and emotionally present. Your r
This booster helps developers quickly scaffold production-ready FastAPI projects with industry best practices including async patterns, dependency injection, and error handling. It's ideal for Python developers building new APIs, microservices, or backend applications.
FastAPI Templates provides production-ready project structures with async patterns, dependency injection, and error handling for developers building high-performance APIs. Backend engineers and Python developers benefit from standardized FastAPI scaffolding that accelerates project setup.
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。
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。
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。
基于 Benjamin Bloom「2 Sigma Problem」研究（1984）的一对一 AI 导师系统。每个课题是一个独立文件夹，通过自适应生成的课程文档 + 用户反馈循环模拟一对一苏格拉底式导师，把学习效果推向 +2σ。学习的主要载体是文档，对话只是辅助确认状态。 所有回复、解释、提问、文档一律使用中文。 触发本 skill 后，以下守则在整个学习交互全程生效——违反字面就是违反精神：
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。
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。
"description": "LLM-powered personal wiki — autonomous knowledge base with research-on-miss, ingestion, search, a browsable web UI, and universal data gravity. Saves and retrieves knowledge automatically whenever relevant.", "repository": "https://github.com/Oshayr/llm-wiki", "agents/backlink-manage
This skill packages everything needed to build a panel that reads prediction-market probabilities from Polymarket + Kalshi (both public, read-only, no account) and presents them as a macro sentiment thermometer grouped by module.
Reb is a UI/UX development agent that provides expert frontend design, accessibility, and responsive design guidance with a perfectionist, detail-oriented approach. Ideal for developers building polished user interfaces and seeking comprehensive design review.
A FastAPI-based MCP server that connects Copilot to lead generation APIs while enforcing clean architecture and SOLID principles for maintainable prospect prospecting workflows. Ideal for developers building AI-assisted B2B sales tools.
A CLI skill that streamlines bug task creation in Gobby by parsing user input into structured bug reports with title, description, and priority. Useful for developers and teams using Claude Code who need rapid task logging during coding sessions.
A Windsurf rules configuration for managing task-driven development workflows in hospital job platform projects, enabling developers to streamline task creation, breakdown, and tracking through CLI commands and standardized processes.
A Korean-language code review guide for the Trade Safety project, providing development standards for a K-pop merchandise trading safety analysis tool. Developers building scam-detection features for international fan communities would benefit from its architectural and code quality guidelines.
"name": "python-developer-plugin", "description": "Production-grade Python development plugin: web frameworks (Django, FastAPI), data science (Pandas, NumPy), testing (pytest), async programming, packaging, DevOps automation, and performance optimization", "name": "Dr. Umit Kacar & Muhsin Elcicek",
Geist provides Cursor-integrated coding rules and best practices for Python, SQLAlchemy, logging, and server development using FastAPI and LLM models. It helps developers maintain consistent code standards and proper patterns when building AI-powered applications.
A QA-focused agent that creates comprehensive test suites, identifies edge cases, and ensures code quality through systematic testing methodologies. Developers and QA engineers benefit from automated test strategy development and validation across different testing levels.
The ops agent automates infrastructure management, deployment, and cloud operations for DevOps teams. Developers and DevOps engineers use it to streamline CI/CD pipelines, monitor systems, and maintain production reliability.
A Windsurf-integrated prompt for managing and developing an audio-to-subtitle video conversion application using Next.js and FastAPI with OpenAI Whisper. Developers building Korean audio processing tools benefit from structured server management and development workflows.
FastAPI development guidelines for building legal document processing endpoints with async patterns and modular architecture. Developers working on document-intensive APIs in Cursor will benefit from these standardized patterns and endpoint structures.
