「termin」の検索結果

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。

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。

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。

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。

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.

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。

Audit Wi-Fi networks with the aircrack-ng suite. Use when a user asks to test their own wireless network, capture WPA2 handshakes, crack captured handshakes offline, put an adapter into monitor mode, or perform a wireless pentest under an authorized engagement.

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。

Actix Web is a powerful, high-performance web framework for Rust. It provides async handlers, type-safe extractors, middleware, and integrates with the Rust ecosystem for building fast, reliable, and memory-safe web services.

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。

Designs and implements website analytics tracking with Google Analytics 4 and Google Tag Manager: a written tracking plan, event and parameter names that pass GA4's rules, gtag.js or data-layer code, key events, consent mode, UTM conventions, and a verification pass. Use when someone says "set up GA4", "add conversion tracking", "track this form or button", "write a tracking plan", "GTM data layer", "UTM parameters", "why are my events missing or counted twice", or "audit our analytics setup".

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。

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。

Run autonomous AI-driven penetration tests on web applications using tools like Shannon, PentAGI, and similar frameworks. Use when tasks involve setting up automated penetration testing pipelines, combining AI agents with security tools (nmap, subfinder, nuclei, sqlmap), building autonomous exploit chains, generating pentest reports with proof-of-concept exploits, or integrating AI pentesting into CI/CD pipelines. Covers the full pentest lifecycle from reconnaissance to reporting using AI orchestration.

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。

Run AI agent code safely in isolated sandboxes with resource limits, audit trails, and kill switches. Use when someone asks to "sandbox my agent", "run agent code safely", "add guardrails to AI agent", "isolate agent execution", "audit agent actions", "prevent agent from deleting files", "restrict agent permissions", or "add safety controls to AI coding agent". Covers Docker isolation, filesystem restrictions, network policies, resource locking, and comprehensive audit logging.

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。

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。

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。

Builds full-stack web applications with AdonisJS — a batteries-included Node.js framework with ORM, auth, validation, and mailer built-in. Use when someone asks to "build a web app with Node.js", "Laravel for Node.js", "full-stack Node framework", "AdonisJS", "batteries-included backend", or "Node.js with built-in ORM and auth". Covers Lucid ORM, auth (sessions, tokens, social), VineJS validation, Edge templates, and deployment.

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。

Restructure and optimize alert rules for monitoring platforms (Sentry, PagerDuty, Datadog, OpsGenie). Use when someone asks to "reduce alert noise", "fix alert fatigue", "create alert rules", "set up escalation policies", "tune alerting thresholds", or "create on-call runbooks". Generates platform-specific alert configurations and tiered escalation policies.

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。

Manage database migrations for SQLAlchemy with Alembic. Use when a user asks to version database schemas, autogenerate migration scripts from models, run or roll back migrations, set up async SQLAlchemy migrations, or handle schema changes safely in 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。

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。

Alpine.js is a lightweight JavaScript framework for adding interactivity to HTML markup. It provides reactive data, event handling, and DOM manipulation through HTML attributes — like a modern jQuery replacement with declarative syntax.

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。