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3proxy is a small open-source proxy server that runs HTTP/HTTPS, SOCKS4/5, SNI and TCP/UDP port-mapping proxies from one config file. Use when a user asks to set up an HTTP or SOCKS5 proxy, add proxy users and passwords, write 3proxy access rules, chain or rotate upstream (parent) proxies, limit bandwidth, connections or monthly traffic per user, run 3proxy in Docker, or fix a 3proxy.cfg that will not start.

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Covers scripting Autodesk 3ds Max, the 3D modeling and rendering application, with MAXScript and Python (pymxs): scene manipulation, object creation, material assignment, camera and light setup, batch operations, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, running scripts headless with 3dsmaxbatch, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.

日本語の概要は準備中です。原文の説明を表示しています。

Scripts and configures production rendering in Autodesk 3ds Max with the V-Ray and Corona renderers: output size and files, render elements, denoising, light mix, batch and command-line rendering, and network rendering. Use when a user asks to set up a production render, render several cameras in one batch, render from the command line or on a render farm, add render passes for compositing, or cut render time for archviz and product shots.

日本語の概要は準備中です。原文の説明を表示しています。

AG2 (formerly AutoGen) is an open-source Python framework for building AI agents and multi-agent systems that use tools, human approval and structured conversations. Use it when you need agents that call functions, collaborate in a group chat, execute code, or when you are migrating AutoGen or pyautogen code to AG2 v1 or ag2-classic.

日本語の概要は準備中です。原文の説明を表示しています。

Activepieces is an open-source workflow automation platform with a visual builder, 400+ integrations ("pieces"), code steps, branching, loops, and webhooks. Use when a user asks to self-host a Zapier or n8n alternative, automate workflows with a no-code builder, build a custom integration piece, or set up open-source business automation.

日本語の概要は準備中です。原文の説明を表示しています。

Runs GitHub Actions workflows on your own machine in Docker containers with act, so CI can be tested without pushing. Use when a user asks to test GitHub Actions workflows locally, debug a failing CI pipeline, pass secrets or inputs to a local run, or run workflows offline.

日本語の概要は準備中です。原文の説明を表示しています。

Generates and executes load test scripts for APIs using k6, wrk, or autocannon. Creates realistic test scenarios from OpenAPI specs, route files, or endpoint descriptions. Use when someone needs to load test, stress test, benchmark, or find the breaking point of their API. Trigger words: load test, stress test, benchmark, RPS, concurrent users, breaking point, performance test, k6, wrk.

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You are an expert in amqplib, the Node.js client for RabbitMQ and AMQP 0-9-1 protocol. You help developers implement reliable message queuing with work queues, pub/sub fanout, topic routing, RPC patterns, dead letter queues, and message acknowledgment — building decoupled microservices that communicate asynchronously through RabbitMQ.

日本語の概要は準備中です。原文の説明を表示しています。

OWASP Amass maps an organization's external attack surface: it finds subdomains, IP addresses, netblocks and ASNs from passive sources and active DNS techniques and stores them in an asset database. Use when: comprehensive subdomain enumeration, attack surface discovery, finding forgotten hosts before a pentest, tracking newly appeared assets, building a graph of target infrastructure.

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Build algorithmic trading systems — backtesting, strategy development, live execution, and risk management. Use when tasks involve backtesting trading strategies, connecting to exchange APIs (Binance, Alpaca, Interactive Brokers), implementing technical indicators, portfolio optimization, order execution, risk management rules, market data processing, or building trading bots. Covers both crypto and traditional markets.

日本語の概要は準備中です。原文の説明を表示しています。

Aider is an open-source terminal AI pair programmer that edits files in your git repository with an LLM and commits each change. Use when a user asks to run Aider, let an AI refactor or fix code from the command line, script Aider with --message, auto-run lint and tests after edits, or point Aider at Claude, GPT, Gemini, DeepSeek or a local model.

日本語の概要は準備中です。原文の説明を表示しています。

Generate short-form videos with AI — script writing, text-to-speech narration, stock footage selection, subtitle generation, and video assembly. Use when: creating TikTok/YouTube Shorts/Reels content, automating video production, building content pipelines.

日本語の概要は準備中です。原文の説明を表示しています。

Generate complete presentations with AI — from outline to polished slides. Use when a user asks to create a presentation, build slides, make a pitch deck, generate a slide deck, create a keynote, prepare a talk, build a demo presentation, or produce any slide-based content.

日本語の概要は準備中です。原文の説明を表示しています。

Automate online content creation and monetization with AI — blog posts, videos, social media, affiliate marketing, and digital products. Use when: building passive income streams with AI, automating content marketing, scaling content production.

日本語の概要は準備中です。原文の説明を表示しています。

AG-UI (Agent-User Interaction Protocol) is an open, event-based protocol that streams an AI agent's text, tool calls, state and lifecycle events to a frontend over HTTP and Server-Sent Events. Use when the user wants to build an AG-UI server, connect an agent or framework (LangGraph, Mastra, CrewAI, Pydantic AI) to a React or custom UI, stream agent progress and state, or use CopilotKit with AG-UI.

日本語の概要は準備中です。原文の説明を表示しています。

Build and trace AI agents in Python with AgentScope, an open-source agent framework with a ReAct loop, tools, middleware, team pipelines and OpenTelemetry tracing. Use when building production agents that need observability, debugging an agent's model and tool calls, capping token spend per reply, or coordinating a leader with specialist agents.

日本語の概要は準備中です。原文の説明を表示しています。

Build AI agents that automate scientific research — hypothesis generation, experiment design, data analysis, and paper writing using agentic tree search. Use when: automating research workflows, generating and testing hypotheses, building AI-powered research assistants.

日本語の概要は準備中です。原文の説明を表示しています。

Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up agent memory", or "make my AI remember things". Covers file-based memory (MEMORY.md), SQLite with embeddings, vector databases (ChromaDB, Pinecone), semantic search, memory consolidation, and automatic context injection.

日本語の概要は準備中です。原文の説明を表示しています。

Test REST and GraphQL API endpoints with structured assertions and reporting. Use when a user asks to test an API, hit an endpoint, check if an API works, validate a response, debug an API call, test authentication flows, or verify API contracts. Supports GET, POST, PUT, PATCH, DELETE with headers, body, auth, and response validation.

日本語の概要は準備中です。原文の説明を表示しています。

Apache Spark is a distributed engine for batch, SQL and streaming data processing, used from Python through PySpark. Use when a user asks to process big data, run distributed computations, build ETL pipelines, analyse data at scale, read Parquet from S3, or stream from Kafka with PySpark.

日本語の概要は準備中です。原文の説明を表示しています。

Expert guidance for Apache Arrow, the cross-language columnar memory format for analytics workloads. Helps developers use Arrow for high-performance data interchange between systems, zero-copy reads, and efficient columnar processing in Python (PyArrow) and JavaScript (Arrow JS).

日本語の概要は準備中です。原文の説明を表示しています。

Integrate Claude AI into applications with the Anthropic SDK. Use when a user asks to add Claude to an app, use Claude for text generation, build a chatbot with Claude, use Claude's long context window, implement tool use with Claude, stream Claude responses, use Claude for code generation, document analysis, or reasoning tasks. Covers Messages API, streaming, tool use, vision, system prompts, extended thinking, and batch processing.

日本語の概要は準備中です。原文の説明を表示しています。

Ant Design (antd) is a React component library of 70+ enterprise UI components (tables, forms, date pickers, modals, menus) with design-token theming through ConfigProvider. Use it to build admin panels, back-office tools and data-heavy dashboards: server-paginated tables with filters and bulk actions, validated forms, dark or branded themes, and antd inside Next.js without a flash of unstyled content. Triggers: "antd table", "Ant Design form validation", "customize antd theme", "antd dark mode", "antd with Next.js App Router", "upgrade antd 5 to 6".

日本語の概要は準備中です。原文の説明を表示しています。

Configuration management and automation with Ansible. Use when the user needs to write playbooks, manage inventory, create roles, use Ansible Vault for secrets, or orchestrate multi-server deployments across environments.

日本語の概要は準備中です。原文の説明を表示しています。