1,594 boosters for "AI" — open source, verified from GitHub, ready to install
Transform a Vibes app into a multi-tenant SaaS with subdomain-based tenancy. Adds Clerk authentication, subscription gating, and generates a unified app with landing page, tenant routing, and admin dashboard.
uni-cli is a unified command-line interface that enables AI agents to seamlessly interact with 25+ services (messaging, productivity, research, utilities) through a consistent pattern. Developers and AI builders benefit from simplified multi-service integration without learning individual APIs.
A plaintext-first docstring formatting specification for Python code that standardizes documentation style across projects. Developers writing or maintaining Python codebases benefit from consistent, readable documentation practices.
A Google Calendar CLI tool that enables AI assistants to view, create, manage, and check availability across multiple calendar accounts. Useful for developers and AI applications that need programmatic calendar integration.
A local SQLite-based command-line task board for AI agents and developers to manage multi-step coding tasks, track progress, and coordinate work across sessions without external dependencies. Ideal for breaking down complex implementations into trackable subtasks with comments and checklists.
ALWAYS use when: creating/editing marimo notebooks, working with any .py file containing @app.cell decorators, building reactive Python notebooks, doing exploratory data analysis in notebook form, converting Jupyter (.ipynb) to marimo, or when user mentions "marimo", "reactive notebook", or asks for an interactive Python notebook. Covers marimo CLI (edit, run, convert, export), UI components (mo.ui.*), layout functions, SQL integration, caching, state management, and wigglystuff widgets. If a task involves notebooks and Python, invoke this skill first.
Ray is an expert booster for Apache Ray distributed computing that helps developers convert Python code to Ray workloads, debug applications, and optimize performance across Ray's ecosystem (Core, Data, Train, Serve, Tune). Ideal for ML engineers and Python developers scaling computations from single machines to clusters.
A life management AI assistant that proactively handles daily planning, evening reviews, health tracking, and investment monitoring through event-driven workflows triggered by natural language keywords in both English and Chinese.
Anti-Slop Toolkit provides automated detection and cleanup for AI-generated code patterns across Python, R, and text files, helping developers enforce quality standards in CI/CD pipelines and codebases.
my-voice helps Pete maintain consistent, authentic tone and style across all written communication by providing clear voice guidelines and real-time feedback. Useful for anyone wanting to preserve a personal writing voice across diverse mediums.
Manage tasks and dependencies with Tracer CLI. Use for issue tracking, dependency management, finding ready work, and AI agent workflows.
List available skills and their activation methods
A 540×960 e-ink panel sitting next to the user's monitor. AI agents push widgets to it; the daemon renders frames server-side and ships pixels over Wi-Fi / USB / BLE. This Skill is the only thing an agent needs to call
ZAI CLI is a command-line tool that brings AI-powered capabilities—including vision analysis, web search, page reading, and GitHub exploration—directly to developers and AI coding assistants. It's useful for developers who need programmatic access to vision, search, and code discovery features.
A booster that helps developers optimize slow Python code through profiling, async/await patterns, and concurrent execution strategies. Ideal for Python developers dealing with performance bottlenecks who need guidance on measurement before optimization.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Native SQL extensions for GoldenMatch ().
当用户对已有老板 Skill 说以下内容时，进入进化模式： 当用户说 时，展示预置老板列表供选择： 当用户在任何模式下说 草、卧槽、我靠、怎么怼、教我反击 时，进入反击模式。
"name": "prism-mcp-server", "mcpName": "io.github.dcostenco/prism-mcp", "description": "The Mind Palace for AI Agents — persistent memory (SQLite/Supabase), behavioral learning & IDE rules sync, multimodal VLM image captioning, pluggable LLM providers (OpenAI/Anthropic/Gemini/Ollama), OpenTelemetry
专业的AI脚本和分镜生成系统，用于在Seedance 2.0平台上创建专业的AI视频系列。 以下是经过实测沉淀的通用规范，适用于所有 Seedance 2.0 / GPT-image-2 prompt 的生成。生成任何分镜 prompt 前必须逐条核对。 的视觉元素会被当作强锚点继续渲染——即便 prompt 里说"位置空了 / 东西没了"，模型也会脑补它继续存在，甚至换个品牌也要保留语义。要让某元素在续接段中真正消失，必须三重加固：
Use this skill for verification and optional publish handoff. If comparing against an older preview run, pass the previous health baseline: Run outside sandboxed environments by default. Do not first attempt the Playwright browser step inside the sandbox and then retry after it is intercepted.
Publish Markdown or HTML content to WeChat Official Account drafts via API, with automatic format conversion. WeChat API client for listing accounts and publishing articles: Parse Markdown and extract structured data (optional, for advanced use):
Use this skill to audit the site's real live GTM setup before event generation. Run the live baseline step before schema preparation whenever the site has a real GTM container installed: If multiple live containers matter and the user already knows the primary comparison target:
Use this skill for Step 4 and Step 5 work. If GTM config does not exist yet: For Shopify runs, also expect:
