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概要と使いどころ
Use this skill when the user asks how to market a trucking company — sales channels, prospecting, website + brand, industry directories (D&B Hoovers, ZoomInfo), referral programs, content marketing, and ROI of different acquisition channels. Reference industry sales 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。
Use this skill when the user asks how to manage a trucking carrier's public reputation — handling a major accident in the news, social media + Glassdoor + Indeed reviews, customer disputes that escalate, employee disputes, regulator perception, and how to communicate during a crisis. Reference industry PR + crisis communication 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。
Recommend, create, preview, and attach Coval trace-based metrics from OpenTelemetry spans. Use when a user has Coval traces and wants custom trace metrics, trace-aware LLM judge metrics with include_traces, latency, token usage, provider failures, tool behavior, vertical-specific workflow signals, or production monitoring based on trace attributes.
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。
End-to-end Coval accent testing workflow. Creates one persona per accent (each using a distinct accent voice and mirroring your Standard Customer behavior), launches one run per accent against the same voice agent + test set + metrics, polls for completion, builds a per-persona comparison table from the results, and creates the saved multi-run report (grouped by Persona) via the public API. Use when a user wants to follow the Testing Across Accents cookbook (https://docs.coval.dev/guides/testing-across-accents) without doing each step by hand.
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。
Migrate configuration from Bluejay voice AI testing platform to Coval. Use when customer says "migrate from bluejay", "bluejay migration", "import bluejay config", or needs to transfer agents, simulations, metrics, and schedules from Bluejay to Coval.
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 a customer agent to Coval and complete a small first evaluation with inspected voice or chat results. Use when no usable evaluation exists yet; reuse existing recordings and resources when available.
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。
Improve Coval trace quality after basic ingestion works. Use when traces are sparse, missing useful STT/LLM/TTS/tool spans, missing attributes needed for Coval built-in metrics, or when a customer wants maximum debugging and observability value from agent traces.
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。
Recipe for an agent building a small custom web app (an Applet) for one person or business on THEIR OWN store tables, live at aimatrx.com/applets/<slug>. Use when asked to build an app, portal, calendar, tracker, dashboard screen or client view on someone's tables/data in AI Matrx. NOT for platform features (use build-sub-feature) or tables the platform keeps for itself (defineTypedTable).
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。
Migrating custom icon buttons to TapButtons. Use when replacing a raw <button>, IconButton, or className-styled icon; migrating header, toolbar, or footer icons; lazy-splitting a button's highlight decoration; or on 'tap targets', 'efficiency update', 'lazy split', or making a small component production-ready.
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。
Three.js post-processing - EffectComposer, bloom, DOF, screen effects. Use when adding visual effects, color grading, blur, glow, or creating custom screen-space shaders.
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。
Automatically creates user-facing changelogs from git commits by analyzing history, categorizing changes, and transforming technical entries into customer-friendly release notes. Use when preparing release notes from commit logs.
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。
Three.js materials - PBR, basic, phong, shader materials, material properties. Use when styling meshes, working with textures, creating custom shaders, or optimizing material performance.
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 blog articles for Qiita and Zenn from GitHub release information. Use when creating release notes or technical articles that follow specific markdown formats with frontmatter. Supports generating articles from release data, creating custom formatted articles, and saving articles to specified repositories for both Qiita and Zenn platforms
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。
税関書類、関税分類、関税最適化、制限当事者スクリーニング、 複数管轄区域にわたる規制コンプライアンスのための体系化された専門知識。 15年以上の経験を持つ貿易コンプライアンス専門家の知見に基づく。 HS分類ロジック、インコタームズ適用、FTA活用、ペナルティ軽減を含む。 税関通関、関税分類、貿易コンプライアンス、輸出入書類、 関税最適化を扱う場合に使用。
Set up, resume or troubleshoot cmail custom-domain email (domain at any registrar → Cloudflare Email Routing → any inbox; optional GoDaddy automation and Gmail send-as): runs cmail setup itself, asking only for missing input, secrets or risky approvals. Don't use for mail migrations or campaigns.
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。
Elite mobile app image-generation skill for creating premium, app-native screen concepts and flows. Designed for iOS, Android, and cross-platform mobile products. Prioritizes clean hierarchy, comfortably readable text, strong multi-screen consistency, controlled color palettes, non-generic creative direction, textured surfaces, image-led composition, tasteful custom iconography, and clean phone mockup framing. By default, screens should be shown inside a subtle premium iPhone or similar phone mockup with a visible frame, while the main focus stays on the app content itself. This skill generates images only. It does not write 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。
Convex is the backend agents get right on the first try: an all-TypeScript reactive platform where the database, server functions, scheduling, file storage, auth, and realtime sync are one type-safe system, every function is a transaction, and `tsc` catches most mistakes before deploy. Ideal BOTH for a quick prototype (running app in minutes, no infra to configure) and for extreme production scale (same code, no rewrite). Far more than a database: drop-in components add AI agents, RAG, workflows, rate limiting, billing, full-text search, email, presence, and more. Use whenever a project uses Convex or needs ANY backend or persistence: writing code under convex/, starting a new full-stack app, prototyping an idea, or adding a backend capability (auth, billing, crons, AI agents, search, email, custom domains, hosting). Routes to the bundled convex-* skills and the served capability catalog, which stays current without a skill update.
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。
Point a domain you already own at your Convex app (DNS records, custom-domain attach, auth-origin rebind).
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。
Исследует и переносит доработки исторической конфигурации 1С в новую. До изменений проверяет типовой функционал и уже выполненный перенос, определяет минимальную доработку и организует её проверку существующими инструментами. Не запускает перенос данных автоматически.
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。
Transform academic course assignment PDFs into structured, actionable markdown checklists with dates, unique IDs, and custom tags. Asks when the user will start, assigns tasks only to weekdays (Monday-Friday), respects weekends automatically, and calculates forum deadlines 3 days before due date. Use this skill when the user uploads academic PDFs or asks to create a task plan from course assignments.
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。
ABP Framework domain layer patterns including entities, aggregates, repositories, domain services, and data seeding. Use when: (1) creating entities with proper base classes, (2) implementing custom repositories, (3) writing domain services, (4) seeding 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。
3D web graphics with Three.js (WebGL/WebGPU). Capabilities: scenes, cameras, geometries, materials, lights, animations, model loading (GLTF/FBX), PBR materials, shadows, post-processing (bloom, SSAO, SSR), custom shaders, instancing, LOD, physics, VR/XR. Actions: create, build, animate, render 3D scenes/models. Keywords: Three.js, WebGL, WebGPU, 3D graphics, scene, camera, geometry, material, light, animation, GLTF, FBX, OrbitControls, PBR, shadow mapping, post-processing, bloom, SSAO, shader, instancing, LOD, WebXR, VR, AR, product configurator, data visualization, architectural walkthrough, interactive 3D, canvas. Use when: creating 3D visualizations, building WebGL/WebGPU apps, loading 3D models, adding animations, implementing VR/XR, creating interactive graphics, building product configurators.
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。
Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.
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。
Azure Monitor Ingestion SDK for Java. Send custom logs to Azure Monitor via Data Collection Rules (DCR) and Data Collection Endpoints (DCE).
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。