「systems」の検索結果

Expert-level industrial automation covering PLCs, SCADA, industrial networks, safety systems, robot integration, and Industry 4.0 technologies.

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Expert-level battery technology covering electrochemistry, lithium-ion battery physics, battery management systems, degradation mechanisms, and next-generation battery chemistries.

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Expert-level waste management covering solid waste characterization, collection systems, landfill design, composting, waste-to-energy, recycling, and hazardous waste regulations.

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-level machine design covering shafts, bearings, gears, fasteners, springs, clutches, brakes, and mechanical power transmission systems.

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-level hydraulics covering open channel flow, pipe systems, hydraulic structures, pumps and turbines, flood routing, and stormwater management.

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-level computer architecture covering CPU design, instruction sets, pipelining, cache hierarchy, memory systems, parallel architectures, and GPU computing.

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-level water treatment covering drinking water treatment, wastewater treatment, industrial water systems, membrane processes, and water reuse.

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-level stellar physics covering stellar structure and evolution, nucleosynthesis, stellar atmospheres, variable stars, binary systems, and stellar populations.

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-level communications engineering covering modulation, channel capacity, error correction, wireless systems, OFDM, MIMO, and 5G technologies.

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-level clinical engineering covering medical equipment management, hospital technology systems, healthcare IT integration, safety standards, and health technology assessment.

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-level meteorology covering atmospheric dynamics, thermodynamics, synoptic meteorology, mesoscale systems, numerical weather prediction, and climate dynamics.

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-level ecology covering population ecology, community ecology, ecosystem ecology, food webs, energy flow, nutrient cycling, biodiversity, and conservation biology.

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-level differential equations knowledge. Use when working with ordinary differential equations, partial differential equations, systems of ODEs, Laplace transforms, Fourier methods, boundary value problems, stability analysis, or numerical methods for ODEs. Also use when the user mentions 'ODE', 'PDE', 'initial value problem', 'boundary value problem', 'Laplace transform', 'separation of variables', 'eigenvalue problem', 'heat equation', 'wave equation', 'Laplace equation', 'stability', or 'phase plane'.

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Expert-level condensed matter physics knowledge. Use when working with crystal structure, band theory, semiconductors, superconductivity, magnetism, phase transitions, Fermi liquids, topological materials, or strongly correlated systems. Also use when the user mentions 'band gap', 'Fermi energy', 'semiconductor', 'superconductor', 'phonon', 'crystal lattice', 'Brillouin zone', 'Bloch theorem', 'Hall effect', 'magnetism', 'phase transition', or 'topological insulator'.

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-level marine biology covering ocean ecosystems, marine organisms, coral reef ecology, deep sea biology, fisheries science, ocean chemistry, and marine conservation.

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Turn an idea into a Conventional Docs Decision, then a Plan: classify the request, explore options and risks through dialogue, then commit a numbered Decision that review, prototypes, and acceptance move through. Use PROACTIVELY before any creative work — new features, new subsystems, interface or dependency changes, or any open-ended design question ("what are the options", "how should I approach", "should I use X or Y", "help me decide", "write a decision", "ADR").

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Frontend UI design, critique, audit, polish. Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.

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 with LangChain framework. Use when building agents, tools, memory, MCP integrations, RAG pipelines, multi-agent systems, or any LLM-powered applications using LangChain or LangGraph in Python or TypeScript.

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Build AI agents with Hugging Face's SmolAgents framework. Use when creating code-executing agents, tool-calling agents, multi-agent systems, agentic RAG, text-to-SQL pipelines, web browsing agents, or any multi-step AI workflows. Covers CodeAgent, ToolCallingAgent, custom tools, MCP integration, memory management, secure code execution (E2B, Docker, Blaxel), and model configuration (HF Inference, LiteLLM, Transformers, Ollama).

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。

Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositories, domain events), facilitating Event Storming sessions, creating bounded context maps, or performing code reviews with a DDD lens. Covers both strategic design (bounded contexts, subdomains, context maps, ubiquitous language) and tactical design (entities, value objects, aggregates, domain services, repositories). Supports all major architecture patterns (Hexagonal/Ports & Adapters, CQRS, Event Sourcing, Clean Architecture) with language-agnostic guidance and concrete examples in Python and TypeScript.

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Find, build, evaluate, and improve systems using decision models. Use for bounded classification, routing, ranking, Choice/Score/Noul, decision-model composition, evaluation harnesses, prompt/program hill climbing, and Software 3.0 workflows across software, business, organizations, and life. Separate models, code, and human judgment. TypeSafe Jev is the default hosted exemplar. Not for straightforward arithmetic, prose rewriting, or provider setup alone.

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Google ADK (Agent Development Kit) orchestration patterns — boundaries, agent composition, and tool seams. Trigger when designing or reviewing multi-agent systems built on ADK. Authoritative source: adk.dev.

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Use for deep Laravel project analysis: boot flow, request lifecycle, container usage, Eloquent/data flow, async systems, and Laravel-specific failure patterns.

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Email tem o maior ROI de qualquer canal de marketing. R$ 36 para cada R$ 1 gasto. Mas a maioria das startups trata como secundário - envios em massa, sem personalização, caindo em spam. Esta skill cobre email transacional que funciona, automação de marketing que converte, entregabilidade que atinge caixas de entrada, e decisões de infraestrutura que escalam. Use quando: keywords, file_patterns, code_patterns.

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。