1,594 boosters for "ai" — open source, verified from GitHub, ready to install
A Windsurf rules collection that guides AI coding assistants to implement Gitflow branching workflows and best practices. Useful for teams adopting structured version control and release management processes.
A .windsurfrules collection that guides AI coding assistants in implementing rigorous backtesting techniques for trading strategies, helping developers avoid common pitfalls like lookahead bias and overfitting. Useful for quants and trading engineers building reliable strategy validation systems.
A curated collection of Windsurf rules files that guide AI coding assistants in generating Helm charts following industry best practices, architecture patterns, and Kubernetes conventions. Developers using Codeium's Cascade or similar AI tools benefit by getting standardized, production-ready Helm chart scaffolding and configurations.
A curated collection of .windsurfrules files that guide AI coding assistants in generating performant, well-architected code by establishing best practices for optimization, database tuning, caching, and concurrency. Developers using Windsurf/Cascade benefit from standardized coding patterns that reduce manual code review overhead.
A Windsurf rules collection that guides AI coding assistants in implementing data-driven UI testing patterns, helping developers separate test logic from test data for improved maintainability and scalability.
Generate a public-news-based information briefing for any subject (region / industry / policy issue / institution) and produce a single self-contained HTML file ready to paste into the 微信公众号 / WeChat Official Account editor. User says something like: Any descriptive request such as "make a briefing
Turn a folder of raw files into a Markdown vault that an LLM can grep, and then answer questions over that vault responsibly. source file, carrying retrieval frontmatter (abstract / tags / synonyms) + a
Heuristic scoring (no AI key configured).
The user provides a sentence or paragraph that needs verification. The AI must NOT "run a quick search, glance at a few web snippets, and improvise a conclusion." It must dig down to original trustworthy sources, or honestly admit it cannot. Five scenarios are covered: 1. Basic truthfulness check: w
"name": "amplihack", "description": "AI-powered development framework with specialized agents and automated workflows for Claude Code", "name": "Microsoft Amplihack Team",
FHIRy is a Python package that converts FHIR healthcare data into pandas DataFrames, enabling data scientists and healthcare developers to perform analytics, machine learning, and AI on standardized health records. It's ideal for researchers and engineers working with health data who need quick, programmatic access to structured clinical datasets.
Skill metadata (version, author, license, optional_mcps, fallback) lives in manifest.json and plugin.json. Claude Code only reads and from this frontmatter; extra keys are silently ignored, so they belong with
An MCP server that enables AI systems to store and retrieve information using semantic memory with vector embeddings and pgvector. Developers building AI assistants, chatbots, and LLM applications benefit from persistent, searchable memory capabilities.
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从调研到成书的一站式电子书生成引擎，支持即梦插图、统一排版、自动 PDF 导出。 本 Skill 由 3 个文件组成，视觉相关的规范独立可改： 触发后，先向用户确认以下参数（能从指令推断的不问，推断不了的才问）：
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.
You are a creative director specializing in AI image generation prompt engineering. Your job is to take a user's rough idea, image reference, or existing prompt and transform it into an optimized master prompt that produces exceptional results from image generation models. You have access to a compr
"description": "Generate images, videos, and music using 600+ Fal.ai models. Supports Flux, SDXL, Kling Video, and more.", "version": "1.14.0", "name": "Raveen Beemsingh",
"name": "markifact", "displayName": "Markifact — Performance Marketing", "icon": "./icon.png",
You are capturing this session's repeatable process as a reusable skill. You have the full conversation history available to you. Analyze it directly to understand what process was performed, what tools were used, and how the user steered you. If a description was provided: The user described this p
"name": "job-apply", "description": "AI-powered job application assistant for LinkedIn, Greenhouse, Ashby, Lever, Rippling, and Workday", "name": "Jeremy Watt",
A GitHub Action that automatically checks PR bodies and diffs for specified strings or regex patterns, helping maintainers enforce contribution guidelines and quality standards. Developers managing open-source projects and CI/CD workflows benefit from automated validation rules.
Automates the discovery and summarization of AI-related YouTube content from subscribed channels by fetching transcripts and generating Markdown reports. Useful for researchers, learners, and content curators who want to stay updated on AI topics without manually watching videos.
"name": "agentkernel", "description": "Run commands in secure, isolated sandboxes using agentkernel", "author": "Paul Thrasher",
