「system」の検索結果

Go is the language of infrastructure. From Docker to Kubernetes to the entire cloud-native ecosystem, Go powers the systems that run the internet. It's not about what you can build - it's about what you won't break at 3 AM. This skill covers idiomatic Go patterns, error handling, concurrency with goroutines and channels, HTTP servers, microservice architecture, and the standard library that makes Go so powerful. Key insight: Go's simplicity is a feature. Fight the urge to abstract. Embrace boring, readable code. 2025 lesson: The teams succeeding with Go are the ones who resist overengineering. A main.go with 500 lines beats a "clean architecture" with 50 packages. Use when "golang, go service, go microservice, goroutine, channels, go http, go api, go backend, gin, fiber, chi router, go concurrency, go, golang, microservices, backend, concurrency, goroutines, channels, http, api" mentioned.

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。

LLM application architecture expert for RAG, prompting, agents, and production AI systemsUse when "rag system, prompt engineering, llm application, ai agent, structured output, chain of thought, multi-agent, context window, hallucination, token optimization, llm, rag, prompting, agents, structured-output, anthropic, openai, langchain, ai-architecture" mentioned.

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 in building and managing thriving Discord communities. Covers server architecture, role systems, bot ecosystems, engagement features, and moderation at scale. Understands Discord-specific culture and patterns. Use when "discord server, discord community, discord setup, discord bots, discord moderation, discord channels, " mentioned.

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 game audio designer and implementer specializing in interactive sound design, adaptive music systems, spatial audio, and audio middleware integration. Brings deep knowledge of FMOD, Wwise, and native engine audio systems to create immersive sonic experiences that respond dynamically to gameplay. Use when "game audio, sound design, game music, FMOD, Wwise, spatial audio, 3D sound, audio middleware, game sfx, adaptive music, interactive audio, audio bus, game mixing, audio occlusion, reverb zones, audio pooling, sound manager, audio, sound, music, game-audio, fmod, wwise, spatial-audio, middleware, mixing, sound-design" mentioned.

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 in designing and implementing intelligent game AI systems including behavior trees, finite state machines, GOAP, utility AI, pathfinding, steering behaviors, and perception systems. Specializes in creating believable, performant NPC behaviors that enhance player experience. Use when "game AI, NPC behavior, behavior tree, state machine for game, enemy AI, pathfinding, A* algorithm, navmesh, steering behavior, GOAP, utility AI, AI perception, combat AI, companion AI, boss AI, crowd simulation, flocking, game-ai, behavior-trees, pathfinding, npc, state-machines, goap, utility-ai, steering, perception" mentioned.

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。

Design and implement discrete event simulations (DES) for systems where state changes occur at discrete time points: queues, manufacturing, logistics, networks. Use when "discrete event, DES simulation, queuing system, queue model, manufacturing simulation, process simulation, SimPy, event-driven simulation, " mentioned.

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。

Patterns for embedded software development including real-time systems, memory management, hardware abstraction, interrupt handling, and debugging techniques for resource-constrained environments. Use when ", " mentioned.

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。

The foundational theory of interactive experience design - loops, motivation, feel, and the art of meaningful playUse when "game design, core loop, game feel, player motivation, game mechanics, meaningful choice, progression system, game economy, game balance, playtesting, GDD, game document, fun factor, engagement, flow state, risk reward, player agency, juice, game polish, 8 kinds of fun, bartle types, MDA framework, game-design, player-experience, core-loop, motivation, game-feel, MDA, playtesting, GDD, systems-thinking, player-psychology, engagement, flow-state" mentioned.

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。

Designing anatomically plausible, visually distinctive creatures that communicate threat, personality, and role through form - from terrifying bosses to collectible companionsUse when "creature design, design a creature, design a monster, monster design, boss design, enemy creature, companion creature, pet design, wildlife design, alien creature, fantasy creature, horror monster, cute creature, pokemon style, creature anatomy, creature silhouette, creature movement, hybrid animal, ecosystem creatures, creature family, mount design, dragon design, beast design, creature, monster, boss, enemy, companion, wildlife, horror, cute, pokemon, anatomy, silhouette, locomotion, ecosystem, hybrid, fantasy, sci-fi, kaiju, cryptid" mentioned.

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 maintain digital twins - virtual representations of physical systems that synchronize with real-world counterparts for monitoring, prediction, and optimization. Use when "digital twin, virtual model, real-time synchronization, physical-virtual coupling, predictive maintenance, asset modeling, system replica, live simulation, " mentioned.

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。

Patterns for feedback control systems including PID tuning, state-space control, Model Predictive Control (MPC), trajectory tracking, and stability analysis. Covers both classical and modern control approaches for robotics and automation. Use when ", " mentioned.

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。

World-class backend engineering - distributed systems, database architecture, API design, and the battle scars from scaling systems that handle millions of requestsUse when "backend, api, database, postgres, mysql, mongodb, redis, graphql, rest, authentication, authorization, caching, queue, background job, webhook, migration, transaction, n+1, rate limit, server, node.js, python, go, backend, api, database, architecture, performance, reliability, security" mentioned.

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。

Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns. This skill covers Playwright (recommended) and Puppeteer, with patterns for testing, scraping, and agentic browser control. Key insight: Playwright won the framework war. Unless you need Puppeteer's stealth ecosystem or are Chrome-only, Playwright is the better choice in 2025. Critical distinction: Testing automation (predictable apps you control) vs scraping/agent automation (unpredictable sites that fight back). Different problems, different solutions. Use when "playwright, puppeteer, browser automation, headless, web scraping, e2e test, end-to-end, selenium, chromium, browser test, page.click, locator, playwright, puppeteer, browser, automation, testing, scraping, headless, e2e, selenium, web-testing" mentioned.

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。

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragmented with inconsistent terminology. We use the CoALA cognitive architecture framework: semantic memory (facts), episodic memory (experiences), and procedural memory (how-to knowledge). Use when "agent memory, long-term memory, memory systems, remember across sessions, memory retrieval, episodic memory, semantic memory, vector store, rag, langmem, memgpt, conversation history, memory, vector-store, rag, retrieval, embedding, episodic, semantic, procedural, langmem, memgpt, pinecone, qdrant, chromadb" mentioned.

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。

Building AI-powered personalization systems: recommendation engines, collaborative filtering, content-based filtering, user preference learning, cold-start solutions, and LLM-enhanced personalized experiences. Use when "recommendation system, personalization, collaborative filtering, content-based filtering, user preferences, recommend, suggestions, for you, similar items, you might like, " mentioned.

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。

Authoritative guide for implementing stunning, accessible, performant UI. Synthesizes design engineering philosophy, accessibility standards, animation principles, spatial design, typography, color systems, and component craft into a single actionable reference. Complements the design-system skill (which covers DESIGN.md spec writing) by covering the HOW of implementation. Trigger phrases: "build UI", "create component", "landing page", "make it look good", "frontend", "design", "polish UI", "implement design", "make it beautiful", "UI implementation", "component styling", "animation", "accessibility"

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。

Autonomous Agents workflow skill. Use this skill when the user needs Autonomous agents are AI systems that can independently decompose and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

Autonomous Agents workflow skill. Use this skill when the user needs Autonomous agents are AI systems that can independently decompose and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

Authentication & Authorization Implementation Patterns workflow skill. Use this skill when the user needs Build secure, scalable authentication and authorization systems using industry-standard patterns and modern best practices and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

Analytics Tracking & Measurement Strategy workflow skill. Use this skill when the user needs Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

ai-engineer workflow skill. Use this skill when the user needs Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

AgentFolio workflow skill. Use this skill when the user needs Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

Agent Performance Optimization Workflow workflow skill. Use this skill when the user needs Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

Agent Performance Optimization Workflow workflow skill. Use this skill when the user needs Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。