「service」の検索結果

Think and work like an expert Corrosion Engineer. Use when a task calls for Corrosion Engineer judgment. Reasons from electrochemical couples, Pourbaix/galvanic selection, and ISO 15156 sour-service limits through AMPP SP0169/SP0502 CP and ECDA, CO₂ models (NORSOK M-506, OLI), coupon/ER/LPR monitoring, and ASTM G5/G48/G61 qualification while treating IR-masked CIPS, salt-spray overclaim, MIC vs. biocide residual, and MR0175≠fit-for-service as first-class failure modes.

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Internal — for Boundless team members only. Help developers deploy Boundless AWS infrastructure to the dev environment. Use when the user wants to deploy a service to dev, bootstrap their dev environment, troubleshoot infrastructure issues, or understand what env vars a service needs. Also handles teardown and status checks.

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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

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Implement consumer-driven contract testing with Pact-JS (v16). Covers consumer test writing, broker-driven provider verification, Pact Broker setup, can-i-deploy as a deployment gate, webhook-triggered verification, pending pacts, and schema-first vs consumer-first approaches (OpenAPI/Ajv, Schemathesis). Use when: "contract test," "Pact," "consumer-driven," "API contract," "provider verification," "can-i-deploy." Not for: stubbing or mocking a dependency to isolate a test — use service-virtualization; general REST/GraphQL endpoint assertions against your own API — use api-testing. Related: api-testing, service-virtualization, ci-cd-integration, test-environments.

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Design environment strategy for testing across dev, CI, preview, staging, and production — Docker Compose test infrastructure, multi-stage Dockerfiles, seed-data lifecycle, per-PR preview environments, production parity, and external-dependency stubbing at the HTTP boundary. Use when: "set up test environment," "docker-compose for tests," "per-PR preview environment," "staging parity," "spin up test infra," "environment tiers." Not for: choosing mock-vs-stub-vs-fake per dependency — use service-virtualization; factory and fixture data patterns — use test-data-management; pipeline/Actions config — use ci-cd-integration. Related: test-data-management, ci-cd-integration, contract-testing, service-virtualization.

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Продающие страницы и представительские тексты на русском языке: лендинги, промостраницы, страницы продукта, услуги, тексты о себе, профили, отклики, страницы компании, миссии и пресс-релизы. Use this skill whenever the user asks to write, audit, structure, or improve a Russian landing page, promo page, sales page, product page, service page, about-me text, job application, company page, mission, press release, homepage copy, or text describing services. Триггеры: «лендинг», «промостраница», «продающий текст», «страница продукта», «текст о себе», «отклик на вакансию», «о компании», «миссия», «пресс-релиз», «опиши мои услуги», «текст для главной». Для коротких постов см. skill post; для статей и лонгридов — statya; для текстов интерфейса — ux-copy.

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You are an expert in Amazon EventBridge, the serverless event bus for building event-driven architectures. You help developers route events between AWS services, SaaS applications, and custom microservices using event rules, patterns, transformations, dead-letter queues, and scheduling — decoupling producers from consumers with content-based routing that scales automatically.

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Manage secrets and environment variables using the Doppler CLI. Use when the user wants to set up Doppler, inject secrets into processes, manage projects and configs, upload or download secrets, create service tokens, use secret templates, or integrate Doppler with Docker, Kubernetes, or CI/CD pipelines. Trigger words: doppler, secrets manager, env vars, secret injection, doppler run, doppler setup, service token, secret rotation.

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Analyze contracts for risks, check completeness, and provide actionable recommendations. Use when a user asks to review a contract, check an agreement for red flags, analyze contract terms, find risky clauses, review an NDA, evaluate a service agreement, or audit employment contract terms. Supports employment contracts, NDAs, service agreements, and vendor contracts.

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Run containerized applications with Amazon ECS. Define tasks and services, deploy on Fargate for serverless containers or EC2 for full control. Configure load balancing, auto-scaling, and service discovery for production workloads.

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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.

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Master the AI tools that transform customer support from cost center to competitive advantage. Automate routine queries, empower agents, and delight customers at scale. Use when "customer support, helpdesk, ticketing system, chatbot, knowledge base, support automation, CSAT, customer service, support, helpdesk, chatbot, knowledge-base, customer-service, automation" mentioned.

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AWS Advisor workflow skill. Use this skill when the user needs Expert AWS Cloud Advisor for architecture design, security review, and implementation guidance. Leverages AWS MCP tools for accurate, documentation-backed answers. Use when user asks about AWS architecture, security, service selection, migrations, troubleshooting, or learning AWS. Triggers on AWS, Lambda, S3, EC2, ECS, EKS, DynamoDB, RDS, CloudFormation, CDK, Terraform, Serverless, SAM, IAM, VPC, API Gateway, or any AWS service. Do NOT use for non-AWS cloud providers or general infrastructure without AWS context and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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Coordinate debugging across multiple services. Use when a senior developer needs to trace a distributed issue.

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广告外包公司绩效管理 (广告外包公司绩效管理 (Ad Agency / Marketing-Outsourcing Firm Performance Management) — 广告/营销外包公司(乙方 agency:创意热店/4A/本土广告公司/传媒公司/数字营销代理/MCN/设计工作室/内容外包)的『怎么做绩效管理』职业认知操作系统,面向老板/合伙人、运营总监(COO)、HR/HRBP、项目总监、team lead、以及想搭绩效体系的从业者。覆盖: (a) 第一性张力 — 绩效管理的核心世界观分歧: **创意/知识工作『不可量化』 vs 『必须可考核』(创意难归因、难标准化,硬套 KPI 杀创意;但不考核养懒人——这是本行绩效的元矛盾) ⇄ 结果导向(KPI/业绩/回款) vs 过程导向(OKR/能力/成长) ⇄ 个人绩效 vs 团队协作(广告是集体产物,创意-AE-媒介-设计协作,难拆到个人) ⇄ 强激励(提成制:多劳多得但抢单/短视/不协作/吃老客户) vs 稳定(固定+奖金:公平但大锅饭) ⇄ 规模/流水 vs 利润/人效(低价接单冲规模 vs 保毛利)**; (b) 绩效体系设计 — KPI(关键指标法)/OKR(目标与关键成果)/BSC(平衡计分卡)/360 环评/MBO(目标管理)/KSF(关键成功因子)/积分制/计件提成;考核周期(月/季/年+项目制);绩效面谈、绩效改进 PIP、强制分布(271/活力曲线)争议、绩效结果应用(调薪/晋升/淘汰/奖金); (c) 分岗位绩效(本行难点,各岗量化差异极大) — 创意(文案/美术/创意总监:作品质量、获奖、比稿命中率——最难量化)、AE/客户执行(客户满意度、续约、回款、增购、客诉)、媒介/投放(可量化:ROI/ROAS/CPM/转化——最易量化)、策略/策划(方案通过率、洞察)、设计(产能/返稿率/品质)、项目管理(交付准时率、利润率)、销售/BD(新签、回款、毛利); (d) 项目与客户维度绩效(agency 特有,专业服务公司逻辑) — 项目利润率(收入-人力成本-外部成本)、工时制与人效(billability 可计费工时率/utilization 利用率/realization 实现率,借鉴咨询律所)、人均产值/人均毛利、客户续约率与 LTV、客户集中度风险、比稿投入产出、改稿次数失控; (e) 激励与分配机制 — 提成制(按签单/毛利/回款抽成)、项目奖金分成(如何在创意-AE-媒介间分)、年终奖包、合伙人制/事业合伙人/工作室 studio 制/阿米巴、股权期权、创意人才的非物质激励(署名/获奖/成长); (f) 人效、成本与文化 — 人效比(人力成本占收入比,业内估计通常 40-55%,非普适)、毛利率、加班/血汗工厂文化批判(乙方 996/改稿到凌晨)、人才流失率与保留、招聘与培养、组织架构(客户组 vs 职能组 vs 项目制矩阵); (g) 外包/乙方特有张力对绩效的侵蚀 — 甲乙方权力不对等(甲方压价、无限改稿、比稿白嫖创意、账期长垫款重回款难)、低价内卷与红海、项目制不确定性(旺淡季、大客户依赖)、创意工时不可控如何计入绩效、外包 vs 自建团队的成本对比; (h) 争议/批判 — KPI 量化派 vs 创意不可考核派、提成制养蛊 vs 团队协作、强制分布/末位淘汰是否适合小 agency、工时制(billable hours)被咨询律所验证但绑架员工健康、『向甲方看齐做 OKR』水土不服、绩效主义扼杀创意(索尼绩效主义之殇式批判)、乙方绩效本质是『用考核对冲甲方不确定性』的转嫁; (i) 流派/思想谱系 — 专业服务公司管理派(David Maister《Managing the Professional Service Firm》PSF 圣经:leverage 杠杆/utilization 利用率/billing;借鉴咨询律所会计所) vs agency 专家经营派(David C. Baker《The Business of Expertise》+2Bobs podcast、Blair Enns《Win Without Pitching》《Pricing Creativity》定位与定价) vs OKR/目标管理派(John Doerr《Measure What Matters》、Google/Intel OKR、字节/飞书 OKR 本土化) vs 中式绩效工具派(KSF 薪酬全绩效/积分制/阿米巴/华为绩效体系被广告公司借用) vs 本土 4A/广告公司实战派(省广/蓝色光标/华扬联众/利欧 等上市广告公司管理 + 创意热店工作室制)。不含: 广告投放/信息流/SEM 的技术操作本身、甲方市场部/品牌方内部绩效、通用 HR 招聘薪酬全流程(仅取与绩效相关部分)、纯财务会计做账、MCN 达人孵化运营细节。) Master OS — automated mastery of 广告外包公司绩效管理 (Ad Agency / Marketing-Outsourcing Firm Performance Management) — 广告/营销外包公司(乙方 agency:创意热店/4A/本土广告公司/传媒公司/数字营销代理/MCN/设计工作室/内容外包)的『怎么做绩效管理』职业认知操作系统,面向老板/合伙人、运营总监(COO)、HR/HRBP、项目总监、team lead、以及想搭绩效体系的从业者。覆盖: (a) 第一性张力 — 绩效管理的核心世界观分歧: **创意/知识工作『不可量化』 vs 『必须可考核』(创意难归因、难标准化,硬套 KPI 杀创意;但不考核养懒人——这是本行绩效的元矛盾) ⇄ 结果导向(KPI/业绩/回款) vs 过程导向(OKR/能力/成长) ⇄ 个人绩效 vs 团队协作(广告是集体产物,创意-AE-媒介-设计协作,难拆到个人) ⇄ 强激励(提成制:多劳多得但抢单/短视/不协作/吃老客户) vs 稳定(固定+奖金:公平但大锅饭) ⇄ 规模/流水 vs 利润/人效(低价接单冲规模 vs 保毛利)**; (b) 绩效体系设计 — KPI(关键指标法)/OKR(目标与关键成果)/BSC(平衡计分卡)/360 环评/MBO(目标管理)/KSF(关键成功因子)/积分制/计件提成;考核周期(月/季/年+项目制);绩效面谈、绩效改进 PIP、强制分布(271/活力曲线)争议、绩效结果应用(调薪/晋升/淘汰/奖金); (c) 分岗位绩效(本行难点,各岗量化差异极大) — 创意(文案/美术/创意总监:作品质量、获奖、比稿命中率——最难量化)、AE/客户执行(客户满意度、续约、回款、增购、客诉)、媒介/投放(可量化:ROI/ROAS/CPM/转化——最易量化)、策略/策划(方案通过率、洞察)、设计(产能/返稿率/品质)、项目管理(交付准时率、利润率)、销售/BD(新签、回款、毛利); (d) 项目与客户维度绩效(agency 特有,专业服务公司逻辑) — 项目利润率(收入-人力成本-外部成本)、工时制与人效(billability 可计费工时率/utilization 利用率/realization 实现率,借鉴咨询律所)、人均产值/人均毛利、客户续约率与 LTV、客户集中度风险、比稿投入产出、改稿次数失控; (e) 激励与分配机制 — 提成制(按签单/毛利/回款抽成)、项目奖金分成(如何在创意-AE-媒介间分)、年终奖包、合伙人制/事业合伙人/工作室 studio 制/阿米巴、股权期权、创意人才的非物质激励(署名/获奖/成长); (f) 人效、成本与文化 — 人效比(人力成本占收入比,业内估计通常 40-55%,非普适)、毛利率、加班/血汗工厂文化批判(乙方 996/改稿到凌晨)、人才流失率与保留、招聘与培养、组织架构(客户组 vs 职能组 vs 项目制矩阵); (g) 外包/乙方特有张力对绩效的侵蚀 — 甲乙方权力不对等(甲方压价、无限改稿、比稿白嫖创意、账期长垫款重回款难)、低价内卷与红海、项目制不确定性(旺淡季、大客户依赖)、创意工时不可控如何计入绩效、外包 vs 自建团队的成本对比; (h) 争议/批判 — KPI 量化派 vs 创意不可考核派、提成制养蛊 vs 团队协作、强制分布/末位淘汰是否适合小 agency、工时制(billable hours)被咨询律所验证但绑架员工健康、『向甲方看齐做 OKR』水土不服、绩效主义扼杀创意(索尼绩效主义之殇式批判)、乙方绩效本质是『用考核对冲甲方不确定性』的转嫁; (i) 流派/思想谱系 — 专业服务公司管理派(David Maister《Managing the Professional Service Firm》PSF 圣经:leverage 杠杆/utilization 利用率/billing;借鉴咨询律所会计所) vs agency 专家经营派(David C. Baker《The Business of Expertise》+2Bobs podcast、Blair Enns《Win Without Pitching》《Pricing Creativity》定位与定价) vs OKR/目标管理派(John Doerr《Measure What Matters》、Google/Intel OKR、字节/飞书 OKR 本土化) vs 中式绩效工具派(KSF 薪酬全绩效/积分制/阿米巴/华为绩效体系被广告公司借用) vs 本土 4A/广告公司实战派(省广/蓝色光标/华扬联众/利欧 等上市广告公司管理 +

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Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "local rankings", "service area", "multi-location", or "local search".

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Map the end-to-end service delivery system including frontstage actions, backstage processes, and supporting infrastructure.

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Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

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Suede Labs Google Play delivery skill: ship an Android release end to end from the agent interface, without opening the Play Console. Set up credentials, upload an AAB, promote between tracks, stage or complete a rollout, push per-locale release notes, and prove against the Play Developer API what is actually live. One step stays a Console action by design and the skill hands it to you: granting the service account release access the first time. Use when uploading or promoting an Android build, wiring a Play service account and fastlane supply lanes, fixing per-versionCode changelogs, raising or halting a staged rollout, or answering what version and fraction production is really serving. NOT FOR: planning or building the app itself (use android-app-factory); live listing and keyword audits (use suede-aso); CI required checks (use suede-ci-gate); iOS release (a private Suede Labs companion, not in this pack: ios-app-store-release).

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ALWAYS activate when the user's query involves Docker in any way — even if it also matches other skills. If the words docker, Dockerfile, docker-compose, compose.yml, container, or image appear in the query, this skill MUST be used. Covers: writing or editing Dockerfiles and compose files, adding services (postgres, redis, etc.) to compose, volume mounts and data persistence, docker build failures (layer caching, npm install issues), healthchecks and service startup ordering (depends_on), environment variables in containers, port mapping, container crashes and exit codes (OOM/137), non-root users, multi-stage builds, image optimization, .dockerignore, and deploying to container runtimes. Takes priority over general implementation or debugging skills when Docker infrastructure is the subject.

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Use when building or extending a Java service with Quarkus - layered architecture, JAX-RS resources, CDI beans, Panache persistence, and native-friendly patterns

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Deploy, manage, and debug Kubernetes in production — Deployments, Services, Gateway API, Service Mesh (Istio/Linkerd/Cilium), eBPF observability (Cilium Hubble), security hardening (Pod Security Standards, OPA/Kyverno, seccomp, runtime security with Falco/Tetragon), Helm, HPA, PDB, topology spread, and debugging. Use when user asks to write K8s manifests, deploy to a cluster, debug pods, set up Gateway API, configure autoscaling, or harden cluster security. Do NOT use for Dockerfiles (use docker), CI/CD pipeline design (use ci-cd), or Terraform infrastructure (use terraform).

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Structured debugging runbook for backend services. Use when investigating production issues, API errors, performance problems, or when something broke and you need to find why.

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Diagnoses slow services and regressions via profiling and tail-latency math. Use when diagnosing slow services, profiling hot paths, or judging whether an optimization is real.

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