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Application performance monitoring — transactions, profiling, and finding slow code — works with any APM platform.

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-funnel paid advertising operations for B2B SaaS. Use this skill for PPC strategy, Google Ads optimization, LinkedIn Ads, social media advertising, programmatic buying, creative strategy, attribution modeling, budget allocation, budget pacing and planned-vs-delivered reconciliation, audience overlap and campaign self-competition audits, suppression lists, ROAS improvement, media spend optimization, and the media no auction sells — newsletter and podcast sponsorships, community and industry-publication placements, paid review-site listings on G2 and Capterra, and pay-per-lead content syndication. It also covers buying on the AI answer surface — ads inside Google AI Overviews and AI Mode that existing Search, Shopping and Performance Max campaigns already serve into with no opt-out, no placement targeting and no segmented reporting, and ChatGPT Ads and Microsoft Copilot as separate opt-in platforms with their own plan-tier reach limits, no negative keywords, and a landing-page crawler gate. It also owns the conversion signal the bidding algorithms learn from — CRM pipeline stages (SQL, opportunity, closed-won) sent back to Google Ads, LinkedIn, Meta and Microsoft Ads through offline conversion import, enhanced conversions for leads, the Google Data Manager API and the LinkedIn Conversions API, with click-ID capture, stage values, dedupe, EEA consent signals and retractions. It also gates connected TV (CTV) and streaming video for B2B — whether a reach medium belongs in the plan, how a vendor ties a TV household to a target account (member data, IP-to-account graph or contextual), the server-side ad insertion (SSAI) fraud questions, Programmatic Guaranteed deals, and a holdout lift test because CTV has no click. It also runs person-led paid social — LinkedIn Thought Leader Ads and Meta partnership ads that put spend behind an employee's or creator's post — on a paid-usage term, an in-post disclosure check and an end-date register, because the platform approval carries no term. Also triggers on: CTV, connected TV, OTT, streaming TV ads, should we run CTV, LinkedIn CTV, B2B CTV, account-based CTV, SSAI fraud, thought leader ads, boost an employee's post, sponsor a creator's post, partnership ads, whitelisting, creator usage rights, PPC, Google Ads, LinkedIn Ads, social ads, programmatic, ad creative, attribution, media budget, paid campaigns, ROAS, CPA, ad spend, newsletter sponsorship, podcast sponsorship, community sponsorship, sponsor a newsletter, content syndication, pay-per-lead, cost per lead vendor, media kit, rate card, insertion order, direct buy, publisher partnership, make-good, G2 paid listing, Capterra ads, review site advertising, sponsorship ROI, budget pacing, we underspent our budget, are our campaigns competing with each other, audience overlap, self-competition, campaign cannibalization, suppression list, exclusion list, ad frequency across channels, how many ad accounts do we have, ads in AI Overviews, AI Mode ads, ChatGPT Ads, OpenAI Ads Manager, Copilot ads, conversational ads, should we advertise on ChatGPT, can we buy our way into the AI answer, our ads are showing in AI Overviews and we cannot report on it, context hints, OAI-AdsBot, our ad landing page fails review, robots.txt is blocking our ads, our paid leads are junk, Google Ads is optimizing for the wrong leads, offline conversion import, OCI, enhanced conversions for leads, send CRM stages back to Google Ads, upload SQLs to LinkedIn, LinkedIn Conversions API, LinkedIn CAPI, Meta conversion leads, CRM to ad platform, gclid, li_fat_id, msclkid, value-based bidding, optimize for pipeline not form fills, low match rate, conversion lag.

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Scaffold the test framework and CI/CD pipeline for the project's engine. Creates the tests/ directory structure, engine-specific test runner configuration, and GitHub Actions workflow. Run once during Technical Setup phase before the first sprint begins.

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 Input System guide. Use when handling player input, controls, gamepad, keyboard, mouse, touch, or XR controllers. Covers the new Input System package (recommended), Input Actions, Action Maps, Control Schemes, PlayerInput component, and input debugging. Based on Unity 6.3 LTS documentation.

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Sentry Unity SDK integration patterns for error tracking, performance monitoring, transactions, spans, and custom instrumentation.

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用于创建或审查 Next.js 14+ App Router 项目、文件路由、layout、服务端/客户端组件边界、SSR/SSG/ISR、streaming、metadata、middleware、server actions 或 Next 特定数据获取。通用客户端 React 组件架构另按项目 React 约定处理；中文触发词包括 Next.js、App Router。

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Use when implementing or reviewing SVG animation, path drawing, icon motion, logo animation, illustration motion, micro-interactions, CSS/SMIL/Framer Motion/GSAP choices, motion accessibility, or fallback behavior; Chinese triggers include SVG animation, path stroke, animation.

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 creating or reviewing Next.js 14+ App Router projects, file routes, layouts, server/client component boundaries, SSR/SSG/ISR, streaming, metadata, middleware, server actions, or Next-specific data fetching. For generic client React component architecture, apply the project's React conventions separately; Chinese triggers include Next.js, App Router.

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 authoring or reviewing frontend unit, component, or light integration tests close to UI code, including React Testing Library, Vue Test Utils, hooks/composables, props/emits, callbacks, accessible queries, user-event interactions, mocks, loading/error/empty states, and regression coverage. For layer planning, real-browser journeys, or existing validation failures, choose the matching testing or validation workflow first; Chinese triggers include component testing, Component unit testing, unit testing, lightweight integration testing.

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Use when a task needs the judgment of a First-Line Supervisor of Entertainment and Recreation Workers (camp, pool, ride crew, attractions, or activities floor) — building today's shift roster against certification/ratio requirements when call-outs hit, running a pre-shift briefing, triaging an escalated guest complaint, deciding whether a new hire is ready to sign off independent, or choosing when to consolidate or close a program area for the day.

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Use when a task needs the judgment of a Blockchain Engineer — applying the checks-effects-interactions pattern to prevent a reentrancy exploit, auditing a privileged/administrative function for missing access control, designing a manipulation-resistant oracle for on-chain price data, minimizing gas cost through storage-write design, or deciding whether a smart contract needs an upgradability pattern before deployment.

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。

Assess the scientific integrity and trustworthiness of publications before relying on their findings. Use this skill whenever evaluating a paper for a workflow, citing a study, building an analysis on published methods, or when a user asks about the reliability of a study. Checks for formal retractions, corrections, expressions of concern, and — critically — informal contradictions where subsequent studies failed to reproduce key findings. Integrates with PubMed, bioRxiv, and Consensus to provide a trust assessment. Use this skill for ANY publication evaluation, retraction checking, author reliability assessment, or when a user says "can I trust this paper", "is this study reliable", "has this been refuted", or "check this publication".

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。

Automate semantic versioning releases with CHANGELOG validation, comparison link management, GitHub Actions workflow triggering, and monitoring. Scaffold release infrastructure for new projects. Use when user runs /release command, mentions "release version", "cut a release", "create release", "publish release", "tag release", "release setup", or "scaffold release pipeline".

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。

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

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, run, and maintain API test collections using Bruno (OpenCollection YAML format and legacy Bru format). Use when the user wants to: (1) create a Bruno API test collection from scratch or from OpenAPI/Swagger specs, (2) write API request files with tests and assertions, (3) run API tests using bru CLI, (4) generate test reports (HTML, JUnit, JSON), (5) set up CI/CD pipelines (GitHub Actions) for automated API testing, (6) debug or fix failing Bruno API tests, (7) add environment configurations for API testing, (8) chain API requests with data extraction, or (9) work with any .yml/.bru Bruno collection files. Triggers on mentions of 'Bruno', 'bru CLI', 'API testing collection', 'OpenCollection', or requests to automate API testing with file-based collections.

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Guidance for Tauri v2 system tray interactions and platform behavior differences.

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Evaluate architecture and module boundaries for volatility-based decomposition using Juval Lowy's framework (from "Righting Software", building on Parnas 1972). Use when reviewing module splits, service boundaries, new abstractions, or any decomposition decision. Trigger on phrases like "where should this boundary be", "how to split this", "module boundaries", "encapsulate change", "volatility", or references to Lowy, Parnas, or "Righting Software". Complements /hickey (interleaved concerns) with a different lens (change encapsulation).

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Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling. Use when setting up CI/CD pipelines, containerizing applications, managing infrastructure as code, deploying to Kubernetes clusters, configuring cloud platforms, automating releases, or responding to production incidents. Invoke for pipelines, Docker, Kubernetes, GitOps, Terraform, GitHub Actions, on-call, or platform engineering.

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Use when designing new high-level system architecture, reviewing existing designs, or making architectural decisions. Invoke to create architecture diagrams, write Architecture Decision Records (ADRs), evaluate technology trade-offs, design component interactions, and plan for scalability. Use for system design, architecture review, microservices structuring, ADR authoring, scalability planning, and infrastructure pattern selection — distinct from code-level design patterns or database-only design tasks.

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Run a session retrospective that surfaces context-management gaps and routes them to approved follow-up actions.

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Code simplification suggestions — clarity, unnecessary complexity, redundant abstractions. Advisory only.

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Find, compare, and share details on physical places near the user or in a specified area, including restaurants, cafes, bars, hotels, parks, attractions, shops, and businesses with local services. Not for itineraries, choosing a city or region, dated events or showtimes, or directions.

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。

Connect Muse to actions across apps through Zapier's official MCP server.

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。