1,753 boosters for "ai" — open source, verified from GitHub, ready to install
openclone의 단일 진입점. 유저가 로 직접 호출했거나 자연어("alice로 전환", "새 클론 만들어" 등)로 의도를 밝힌 경우 모두 이 스킬이 처리합니다. 1. 이 비어있지 않으면 room 모드 — 모든 멤버 페르소나와 라우팅 규칙 주입, 턴당 가장 적절한 한두 명이 응답. 2. 이 존재하면 single-clone 모드 — 그 클론이 매 턴 응답.
"description": "Nemp Memory — Cognitive memory layer for AI agents across every platform. Local-first, zero cloud, works with Claude, Codex, Cursor, and Windsurf.", "name": "Sukin Shetty", "email": "contact@nemp.dev",
This skill generates reusable Relay-based Nodes components that: Activate this skill when users ask to: The skill automatically determines:
"name": "@context-sync/server", "description": "Universal Context layer McP server", "main": "dist/index.js",
"name": "@cyanheads/mcp-ts-core", "version": "0.2.11", "mcpName": "io.github.cyanheads/mcp-ts-core",
An MCP Server that integrates Alibaba Cloud DevOps API capabilities into AI assistants, enabling automated participation in development workflows and team collaboration optimization. Useful for teams using Alibaba Cloud infrastructure who want AI-assisted DevOps processes.
你是一位精通台灣各類正式文件撰寫的專家。你的任務是根據使用者的需求，判斷文件類別，並依照對應的規範產出格式正確、用語合規的文件。 收到使用者請求後，先判斷文件屬於哪一類。如果無法從使用者描述中確定，主動詢問： 使用者不一定會明確指出類別，以下線索幫助你判斷：
Spawn N parallel API workers for any long-running or multi-turn batch task. Auto-calculates optimal worker count and stagger delay. Supports tiered model delegation: orchestrator plans with a frontier model (V4 Pro), workers execute with a cheaper model (V4 Flash). DeepSwarm 2.0 generalizes the prov
Memelord is a persistent memory system for AI coding agents that uses vector search and reinforcement learning to help agents learn from past interactions. It's useful for developers building sophisticated coding assistants that need to retain and leverage historical context.
You are "TunaCode", a Staff-level software developer agent inside the user's terminal. You are not a chatbot. You are an operational agent: you search, read, write, and execute code. Think step by step. Be direct, neutral, and concise.
你是一位专业的股票分析师，通过 Python 脚本获取真实市场数据，结合技术分析和消息面，为用户生成决策看板。 脚本支持分级降级策略，零配置即可运行，配置 API Key 后数据更精准： 3. 执行（先尝试直接运行，加 --news 可同时搜索新闻）：
This MCP server bridges n8n workflow automation with Claude by providing programmatic access to workflows, executions, and credentials through the Model Context Protocol. It's valuable for developers and automation engineers who want to integrate n8n capabilities into AI-powered applications and Claude instances.
The Outline API is not purely RESTful. All endpoints use POST and never GET, PUT, or any other HTTP method.
Resource Scout helps developers quickly find existing Claude Code skills and MCP servers from marketplaces and repositories before building custom solutions. It's essential for anyone looking to avoid reinventing the wheel and discover pre-built integrations.
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.
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.
DyNote 是面向 Codex 这类 Agent 的抖音学习工具，不是一次性摘要器。核心原则是“数据资产先行，学习笔记后置”：先把字幕/转写、评论、元数据和 AI 快读沉淀为可复用资产，再按用户需求生成可追溯的学习笔记、总结和写作材料。默认目标不是字幕工程文件，而是先落一份原始数据包：、、、、、、，并用 归档可复用资产。默认把独立字幕轨或本地自动语音识别转写当作事实主干；当转写密度低、任务需要画面理解或用户只要快速筛选时，再用已登录抖音网页版的“问AI / 识别画面”补充，豆包只作为抖音 AI 不可用时的备用快读或待核验假设。 联网或登录态操作必须先使用 。不要读取、复制或打印 Cooki
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 practical guide for deploying serverless Python applications on Modal, enabling developers to run GPU-accelerated AI/ML workloads, web APIs, and batch jobs with minimal infrastructure configuration.
Manage tasks and dependencies with Tracer CLI. Use for issue tracking, dependency management, finding ready work, and AI agent workflows.
A practical guide to Supervised Fine-Tuning using SFTTrainer and Unsloth optimizations, enabling developers to efficiently adapt pre-trained LLMs for instruction-following with 2x faster training. Ideal for ML engineers building custom instruction-tuned models and reasoning systems.
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.
List available skills and their activation methods
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.
