クラウド、CI/CD、監視、デプロイ（6,734 件）
概要と使いどころ
Android platform development for Pulp — NDK cross-compilation, Oboe audio, Dawn/Skia GPU rendering, JNI bridge, touch interaction, emulator workflows, and end-to-end smoke validation. Covers build, deploy, debug, and the gotchas discovered during bringup.
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iOS platform development for Pulp — iPhone/iPad AUv3 app extensions, iOS Simulator builds, UIKit window host, CoreAudio IO audio, touch & Apple Pencil input, XcodeBuildMCP automation. Covers configure, build, deploy to simulator/device, and the gotchas discovered during iOS bringup.
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。
Debug or validate Pulp animations / transitions / scroll behavior using in-process motion fixtures and offline visual analysis. TRIGGER on phrases like "animation is wrong", "transition timing off", "fade too late", "card slides too far", "scroll jumps on restore", "scroll offset wrong on restore", "frame jump in the timeline", "easing looks wonky", "imported Figma motion doesn't match source", "settle time / overshoot / drift / monotonic", "what value does the knob reach at frame N", "record this animation so I can replay it", "this animation is expensive — which one and why", "reduced-motion broken", "scrub a captured fixture". Captures fixtures (.motion.jsonl), and ships assertion helpers (is_monotonic / settling_time_seconds / overshoot / start_delay_seconds / final_value / local_step_outlier_ratio) and the `scroll_geometry` trace for `ScrollView` content-offset / visible-rect / content-size observability. Off by default in prod.
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/运维角色。关键词：部署/上线/CI-CD/服务器/Docker/nginx/SSL/域名/端口/监控/GitHub Actions。接收测试通过报告后执行部署，维护生产环境，监控AI调用成本。
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。
Full project initialization wizard from ProjectConfig, including folders, packages, Git, and MCP setup. Use when setting up a new Unity project from scratch, creating the folder structure, or bootstrapping infrastructure. Triggers on requests like "set up a new project", "create folder structure", "initialize the project", or "/uw-cmd-setup-project". Reads ProjectConfig.yaml for all decisions.
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。
Complete launch readiness validation covering every department: code, content, store, marketing, community, infrastructure, legal, and go/no-go sign-offs.
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。
Sentry Unity SDK integration patterns for error tracking, performance monitoring, transactions, spans, and custom instrumentation.
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。
Unity 6 packages and services guide. Use when working with Package Manager, installing/updating packages, scoped registries, or Unity Gaming Services (Authentication, Cloud Save, Analytics, Leaderboards, Matchmaker). Covers essential packages list and version compatibility. Based on Unity 6.3 LTS documentation.
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。
Unity save/load system architecture. Serialization format selection, save data DTOs, versioning and migration, cloud sync, PlayerPrefs scoping, auto-save strategies, mobile persistence. DECISION format: WHEN/DECISION/SCAFFOLD/GOTCHA. Based on Unity 6.3 LTS.
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。
Prevents overengineering when designing, implementing, refactoring, or reviewing software. Use when the user asks to implement a feature, add an abstraction, refactor code, review a design, simplify existing code, or make an architectural decision. Also triggers when the user asks if code is too complex, whether to abstract something, or how to structure something. Do not use for deployment, infrastructure configuration, or debugging runtime errors unrelated to code structure.
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 a fully customized Amazon Connect AI agent PoC bundle (Lambda handlers, OpenAPI spec, AI agent prompt, Contact Flows, CloudFormation/CDK infrastructure, FAQ knowledge base) from a ~15-minute structured interview — or from a requirements doc, a flow sketch, or an existing flow/prompt you want to improve. Use when the user wants to build, scaffold, prototype, or refine an Amazon Connect contact center, an AI voice/chat agent on Amazon Connect, or any contact-center use case that mentions Connect, Lex, Wisdom, Q in Connect, "AI agent domain", or Agentic CX Designer (ACXD, Connect Customer, the Agentic CX block — the ACXD runtime target). Also triggers on "I have a requirements document", "turn this flow sketch into a Contact Flow", or "improve my existing Contact Flow / AI prompt". Produces 6 asset packages on local disk.
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 a fully customized Amazon Connect AI agent PoC bundle (Lambda handlers, OpenAPI spec, AI agent prompt, Contact Flows, CloudFormation/CDK infrastructure, FAQ knowledge base) from a ~15-minute structured interview — or from a requirements doc, a flow sketch, or an existing flow/prompt you want to improve. Triggers on "amazon connect", "aicc", "contact center AI", "connect ai agent", "connect ai agents domain", "agentic cx designer", "acxd", "connect customer", "agentic cx block", "requirements document", "improve my contact flow", "flow sketch", "\uc544\ub9c8\uc874 \ucee4\ub125\ud2b8", "\ucee8\ud0dd\uc13c\ud130 AI \uc0c1\ub2f4\uc6d0".
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 a task needs the judgment of an Environmental Compliance Inspector — reviewing discharge monitoring reports or emissions data against permit limits, classifying a facility's hazardous waste generator status, calculating a penalty for a documented violation, deciding whether an exceedance warrants a Notice of Violation versus informal correction, or scoping a multimedia (air/water/waste) inspection.
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 a task needs the judgment of an Environmental Engineering Technologist/Technician — verifying field meter calibration before a sampling event, computing a flow-proportional composite sampling program, checking chain-of-custody entries against 40 CFR 136 holding times, running an air-monitoring isokinetic sampling check, or deciding whether a field QC exception invalidates a sample.
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 a task needs the judgment of a Crushing/Grinding Machine Operator — recognizing that classifier cut point, not mill residence time alone, determines what reports to finished product in a closed-circuit grinding operation, monitoring circulating load as a distinct diagnostic variable, matching grinding media size to the target size reduction, or verifying product size via actual sieve/laser analysis rather than mill parameters.
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 a task needs the judgment of a DevOps/Site Reliability Engineer — designing deployment pipelines, setting SLOs/error budgets, responding to or reviewing an incident, or making infrastructure/reliability tradeoffs. Distinct from a backend software engineer role — this one owns the system's operational health across all services, not one service's feature code.
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 a task needs the judgment of a Conservation Scientist — writing or reviewing a rangeland/forest conservation plan, calculating stocking rate or carrying capacity against a proposed grazing or timber plan, scoping a prescribed-fire prescription, resolving a multi-use land-allocation conflict on public or private land, or assessing range/forest condition trend from monitoring data.
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Use when a task needs the judgment of a Compliance Manager — sizing and defending a compliance program's headcount/budget, deciding build-vs-buy on monitoring or case-management technology, choosing a centralized-vs-embedded staffing model, translating a new regulatory obligation into a costed resourcing ask, or reporting program coverage to executives/the board.
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Use when a task needs the judgment of a Biomass Plant Technician — adjusting combustion parameters in response to actual measured fuel moisture content rather than a fixed setpoint, diagnosing a fuel feed interruption as mechanical bridging rather than a combustion issue, adjusting soot-blowing frequency to actual observed slagging conditions rather than a fixed calendar schedule, or monitoring emissions more actively given fuel batch variability rather than a "set and monitor occasionally" approach appropriate for consistent fossil fuel.
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 a task needs the judgment of an Animal Scientist — formulating a least-cost livestock ration against nutrient requirements, evaluating breeding stock using EPDs or a selection index, diagnosing a feed-conversion-ratio decline, or designing a growth/reproduction performance-monitoring plan for a livestock operation.
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 a task needs the judgment of an Architectural and Civil Drafter — setting up a CAD sheet at the correct scale and viewport scale factor, applying NCS/AIA layer and sheet-numbering standards, dimensioning a wall assembly or site plan per governing convention, managing xrefs and revision clouds across a sheet set, or QC-checking a drawing set before issuance.
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 a task needs the judgment of an airline pilot — checking whether an ETOPS diversion-time rating still holds against a current MEL downgrade, deciding whether to accept or query a dispatch release, applying sterile-cockpit discipline and Pilot Flying/Pilot Monitoring role separation on a two-pilot flight deck, resolving a captain-dispatcher operational-control disagreement, or checking Part 117 flight-duty-period legality against an irregular-operations delay.
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。
Execute ENCODE ChIP-seq processing pipeline from FASTQ to peaks and signal tracks. Child of pipeline-guide. Provides stage-by-stage Nextflow execution with Docker containers and cloud deployment. Use when users need to process ChIP-seq data following ENCODE standards, run peak calling with MACS2, perform IDR analysis, or generate signal tracks. Trigger on: ChIP-seq pipeline, run ChIP-seq, process ChIP-seq, MACS2 peak calling, IDR analysis, ChIP-seq FASTQ 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。
Execute CUT&RUN processing pipeline from FASTQ to peaks and signal tracks. Child of pipeline-guide. Provides Nextflow execution with Docker and cloud deployment. Use when processing CUT&RUN or CUT&Tag data, an alternative to ChIP-seq with lower background. Trigger on: CUT&RUN pipeline, CUT&Tag, SEACR, Henikoff, targeted chromatin, pA-MNase, process CUT&RUN.
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。