1,763 件 ・ 関連度順
概要と使いどころ
Create, update, validate, or analyze a game project's PRD. Use when the user wants help producing, editing, validating, or analyzing a PRD — often derived from a GDD or prepared for external-tool integration.
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 game performance testing strategy. Use when the user says "performance test" or "benchmark"
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。
Create comprehensive game test scenarios. Use when the user says "test design" or "design tests"
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。
Initialize game test framework for Unity, Unreal, or Godot. Use when the user says "test framework" or "set up testing"
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。
Validate system resilience through controlled fault injection. Covers hypothesis-driven chaos experiments, failure injection types (network, service, infrastructure, dependency), LitmusChaos/Chaos Mesh/AWS FIS/Gremlin/toxiproxy tooling, automated abort gating, game day planning, and progressive chaos adoption. Use when: "chaos engineering," "fault injection," "resilience test," "game day," "failure recovery," "system reliability," "blast radius." Not for: safe rollout flags/canary/dark launch during a release — use testing-in-production; designing new tests from production telemetry — use observability-driven-testing. Related: testing-in-production, observability-driven-testing, performance-testing, release-readiness, test-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。
Babylon.js is an open-source 3D engine for the browser that renders with WebGL or WebGPU and includes a scene graph, PBR materials, glTF loading, Havok physics, a GUI layer and WebXR. Use when a user asks to build a 3D scene, game, product configurator or VR/AR experience with Babylon.js, load a glTF/GLB model, add physics or in-scene UI, switch to WebGPU, or shrink a Babylon.js bundle.
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。
Integrating local LLMs into Godot games using NobodyWho and other Godot-native solutionsUse when "godot llm, nobodywho, godot ai npc, gdscript llm, godot local llm, godot chatgpt, godot 4 ai, godot, llm, nobodywho, gdscript, game-ai, npc, local-llm" 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 knowledge for environment art in games - modular design, visual hierarchy, color scripting, environmental storytelling, optimization, and world-building. From blockout to final art pass, creating immersive, performant, and readable spaces. Use when "environment art, level art, world art, modular kit, kit-bashing, set dressing, prop placement, biome design, visual hierarchy, color script, hero prop, trim sheet, environment composition, skybox, atmosphere, environment, level-art, world-building, modular, kit-bashing, set-dressing, visual-design, game-art, composition, optimization" 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。
Creating memorable, readable, and emotionally resonant game characters that work at every scale and in every contextUse when "character design, design a character, character art, character concept, character sheet, turnaround, expression sheet, character silhouette, shape language, character proportions, iconic character, memorable character, character lineup, character family, hero design, villain design, npc design, protagonist design, character, art-direction, visual-design, game-art, concept-art, silhouette, shape-language, color-theory, costume, expression, turnaround, iconic, readable" 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 real-time game animation systems including skeletal animation, blend trees, state machines, inverse kinematics, root motion, procedural animation, and animation retargeting. Specializes in creating fluid, responsive character animation that balances visual quality with performance constraints. Use when "animation system, state machine, blend tree, skeletal animation, inverse kinematics, IK system, root motion, animation blending, character animation, animator controller, motion matching, animation retargeting, foot IK, look at IK, aim offset, animation montage, animation notify, additive animation, animation layers, procedural animation, animation, game-dev, character, state-machine, unity, unreal, godot, skeletal, rigging, motion" 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。
DevOps 与站点可靠性工程 (SRE) — 平台 / 基础设施 / 可靠性工程师的认知操作系统, 覆盖软件交付 + 运维全生命周期 (CI/CD 与发布工程 trunk-based + 渐进式发布 canary/blue-green/feature flag + GitOps Argo CD/Flux / 基础设施即代码 Terraform/OpenTofu/Pulumi/Ansible + policy-as-code OPA / 容器与编排 Docker/Kubernetes + Helm/Kustomize + service mesh Istio/Linkerd / 可观测性 Prometheus + Loki + OpenTelemetry + Honeycomb + eBPF + RED/USE / SLO-SLI-error budget 与可靠性工程 Google SRE 学科 + 容量规划 + 优雅降级 / 事件管理与 on-call 事件指挥 + PagerDuty + runbook + 无指责复盘 + MTTR / 云平台与 FinOps AWS/GCP/Azure + 成本优化 + 弹性伸缩 / 平台工程与开发者体验 IDP + Backstage + golden path + Team Topologies / DevSecOps 与供应链安全 shift-left + SBOM + SLSA + sigstore + Vault / 韧性与混沌工程 fault injection + game day + 安全科学 / DORA 指标与工程效能 部署频率 + 变更前置时间 + 变更失败率 + Accelerate 研究 / 数据库与有状态运维 schema 迁移 + 备份容灾) — 不含 通用应用开发 / 纯云销售认证速成 / 'DevOps = 跑 Jenkins 的岗位' 窄化误解 / ITIL 工单文化传统运维 (旧范式仅做边界) / 把手工运维 ClickOps 当稳态 (是 toil, 本 skill 核心反模式) (DevOps & Site Reliability Engineering — the cognitive operating system of platform / infrastructure / reliability practitioners who own the full software delivery + operational lifecycle, covering (a) CI/CD & release engineering (build pipelines, trunk-based development, progressive delivery — canary / blue-green / feature flags, GitOps with Argo CD / Flux), (b) Infrastructure as Code (Terraform / OpenTofu, Pulumi, CloudFormation, Ansible, Crossplane — module design, state management, drift, policy-as-code OPA / Sentinel / Checkov), (c) containers & orchestration (Docker / OCI, Kubernetes — scheduling, networking CNI, storage CSI, operators / CRDs, Helm / Kustomize, service mesh Istio / Linkerd), (d) observability (the three pillars + beyond — metrics Prometheus / VictoriaMetrics, logs Loki / ELK, traces OpenTelemetry / Jaeger / Tempo, high-cardinality observability Honeycomb, eBPF, RED / USE methods, SLO-based alerting), (e) SLO / SLI / error budgets & reliability engineering (Google SRE discipline — service level objectives, error budget policy, toil budgets, capacity planning, load shedding, graceful degradation), (f) incident management & on-call (incident command, PagerDuty / Opsgenie, runbooks, blameless postmortems, MTTR / MTTD, error budget burn), (g) cloud platforms & FinOps (AWS / GCP / Azure well-architected, multi-region, cost optimization, autoscaling), (h) platform engineering & developer experience (internal developer platforms, Backstage, golden paths, self-service, Team Topologies), (i) DevSecOps & supply-chain security (shift-left, SAST / DAST, SBOM, SLSA, sigstore / cosign, secrets management Vault), (j) resilience & chaos engineering (chaos experiments, fault injection, game days, resilience engineering / safety science), (k) DORA metrics & engineering effectiveness (deployment frequency, lead time, change failure rate, MTTR, the Accelerate research), (l) databases & stateful operations (schema migrations, backups / DR, replication); NOT generic software development / app feature coding (是 平行学科, DevOps/SRE 关注 delivery + operability 不是 product feature), NOT pure cloud sales / certification cram without operational depth, NOT 'DevOps = a job title that runs Jenkins' 的窄化误解 (DevOps 是 文化 + 实践, SRE 是 Google 对 reliability 的工程化具体实现), NOT ITIL-heavy 传统运维 工单文化 (是 被 DevOps 取代的旧范式, 仅做边界标注), NOT manual ops / ClickOps as a steady state (是 toil, 本 skill 的核心反模式).) Master OS — automated mastery of DevOps & Site Reliability Engineering — the cognitive operating system of platform / infrastructure / reliability practitioners who own the full software delivery + operational lifecycle, covering (a) CI/CD & release engineering (build pipelines, trunk-based development, progressive delivery — canary / blue-green / feature flags, GitOps with Argo CD / Flux), (b) Infrastructure as Code (Terraform / OpenTofu, Pulumi, CloudFormation, Ansible, Crossplane — module design, state management, drift, policy-as-code OPA / Sentinel / Checkov), (c) containers & orchestration (Docker / OCI, Kubernetes — scheduling, networking CNI, storage CSI, operators / CRDs, He
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。
Use when building game UI (menus, HUD, dialogue box, settings/save screens) on top of Pixi'VN with an external JS framework (React, Vue) or with plain PixiJS components — mounting HTML or PixiJS UI layers over the canvas, navigating between UI screens/routes, theming a shadcn/ui-based template, and connecting UI components to game storage/settings. Covers `canvas.htmlLayers.add`/`get`/`remove` and the PixiJS-only layer helpers `canvas.layers.add`/`get`/`remove`.
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。
Use when reading or writing persistent game variables in a @drincs/pixi-vn game — simple flags/counters via `storage`, custom persisted classes via `StoredClassModel`, temporary (label-scoped) variables, and how any of this survives save/load and history go-back. Load this before writing any `storage.set`/`storage.get`/`storage.flags.set` code or a class that extends `StoredClassModel`.
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。
Use when reviewing game code in C#, GDScript or C++ (Unity, Godot, Unreal, custom engines) - client vs server authority, RPC and packet validation, in-app purchases and economy, save and replay files, mod and script loading, secrets in client builds
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。
Use when adding or changing save games, settings or progression storage - a versioned save format with a tested migration chain, atomic writes with backup and checksum, per-engine storage locations, safe serializers, and the round-trip/migration/corruption tests.
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。
Use when adding character/enemy/game-flow states or NPC behaviour - explicit transition tables instead of flag soup, hierarchical and pushdown machines, behaviour trees per engine, navmesh pathfinding, AI tick budgets, and table-driven tests.
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。
Use when working on any browser game (Phaser, PixiJS, three.js, Babylon.js, PlayCanvas, Excalibur, KAPLAY) - requestAnimationFrame with clamped delta and visibility pause, zero-allocation frame loops, measuring in DevTools, bundle and asset size budgets, Vitest with seeded RNG and injected time, and a seeded Playwright smoke test with console capture.
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。
Master Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices.
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。
Game-theory primitives for divergent incentives: Nash equilibrium, auctions, mechanism design, collusion, bargaining, reputation. Use when modeling strategic play.
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。
Creates Roblox experiences from empty Studio place to published world. Use when starting, building, validating, or shipping a Roblox game.
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。
Configure the project's game engine and version. Pins the engine in AGENTS.md, detects knowledge gaps, and populates engine reference docs via webfetch when the version is beyond the LLM's training data.
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。
Guided, section-by-section UX spec authoring for a screen, flow, or HUD. Reads game concept, player journey, and relevant GDDs to provide context-aware design guidance. Produces ux-spec.md (per screen/flow) or hud-design.md using the studio templates.
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。
Orchestrate audio team: audio-director + sound-designer + technical-artist + gameplay-programmer for full audio pipeline from direction to implementation.
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 the game for security vulnerabilities: save tampering, cheat vectors, network exploits, data exposure, and input validation gaps. Produces a prioritised security report with remediation guidance. Run before any public release or multiplayer launch.
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。