「zat」の検索結果

Unity UI patterns including Canvas optimization, list virtualization, and mobile-friendly UI.

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 localization pipeline: scan for hardcoded strings, extract and manage string tables, validate translations, generate translator briefings, run cultural/sensitivity review, manage VO localization, test RTL/platform requirements, enforce string freeze, and report coverage.

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 graphics and rendering guide. Use when working with render pipelines (URP, HDRP, Built-in), shaders, Shader Graph, materials, textures, cameras, post-processing, or rendering optimization. Covers Render Graph, batching, draw call optimization, and GPU instancing. 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。

Mobile-specific Unity optimization patterns for memory, battery, thermal, and 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。

Use when designing or reviewing Vue 3 + TypeScript project structure, SFC/component boundaries, composables organization, route composition, Pinia ownership, API/error/styling defaults, directives, or repository-wide Vue conventions. Prefer narrower skills for forms, data fetching, tests, accessibility, virtualization, animation, or security deep dives; Chinese triggers include Vue 3 project specification, Vue component architecture.

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 synchronizing frontend project documentation with source-of-truth files such as package.json, lockfiles, config, env examples, routes, API clients or server routes, schemas, components, tests, CI, build/deploy config, ADRs, changelogs, or migration notes. Do not use for general prose polishing only; Chinese triggers include document synchronization, update README, docs sync, environment variable documentation, command list, API Document synchronization.

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 or reviewing Canvas 2D, Three.js/WebGL, React Three Fiber, GLSL shaders, ShaderToy-to-WebGL adaptation, 2D/3D visualization, game rendering, animation loops, GPU resource cleanup, or rendering performance. Do not use for standard DOM UI, charts already covered by a chart library, or non-graphical performance work; Chinese triggers include Canvas, Three.js, WebGL, GLSL, Shader, 3D, data visualization, games.

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 diagnosing or improving frontend performance, Core Web Vitals, bundle size, runtime rendering cost, network waterfalls, memory leaks, long tasks, Lighthouse findings, or performance budgets; Chinese triggers include performance optimization, page freeze, slow first screen, bundle volume, Web Vitals.

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 designing or reviewing React + TypeScript project structure, feature/module boundaries, component architecture, hooks organization, routing composition, state/API/error/styling defaults, or repository-wide React conventions. Prefer narrower skills for forms, data fetching, tests, accessibility, virtualization, animation, or security deep dives; Chinese triggers include React project specification, React component architecture.

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。

Generates performance-focused guidance for Google Cloud workloads based on the design principles and recommendations in the Performance Optimization pillar of the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify performance requirements, and provide actionable recommendations for resource allocation, modular design, and elasticity.

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 maintaining sports field visualization or Tkinter GUI and standalone CLI integration with Matplotlib.

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。

Inspects Google Cloud Filestore capacity and utilization, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). Use when monitoring Filestore instance headroom, resizing instance shares, configuring automated growth/shrink thresholds (custom thresholds apply globally across projects in session memory), or preventing out-of-space outages. Don't use for Cloud Storage (GCS) buckets, Persistent Disk block storage, or NetApp Volumes.

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。

Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for build, deploy, and manage the workload cost-efficiently in Google Cloud.

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。

Provides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATION_SCHEMA, Cloud Monitoring, and the REST API. Use when the telemetry to fetch is already known, selecting telemetry tools, writing performant INFORMATION_SCHEMA queries, retrieving telemetry for diagnosing single-job performance bottlenecks, investigating slot contention, job concurrency and queue latency, analyzing reservation capacity, utilization and autoscaling saturation, or auditing capacity-based and on-demand compute and storage resource billable usage. Don't use for root-cause diagnosis or symptom troubleshooting when the cause is unknown (use bigquery-troubleshooting first), or for writing or optimizing business logic SQL (use bigquery-optimization).

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。

Prioritize a feature backlog or list of ideas. Use when the user says "help me prioritize", "prioritize this backlog", "RICE score these", "MoSCoW", "opportunity solution tree", "what should we build first", "rank these features", or has a list of items and needs to decide order - even if they don't explicitly say "prioritization".

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 Administrative Services Manager — evaluating a vendor contract on total cost of ownership rather than price, right-sizing a facilities/admin budget against actual utilization, anticipating where an operational process breaks at the org's next size milestone, or diagnosing why internal operational support is failing a growing organization.

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。

Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. GEO analysis enriched with Ahrefs Brand Radar AI visibility data when available. Includes brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says "AI Overviews", "SGE", "GEO", "AI search", "LLM optimization", "Perplexity", "AI citations", "ChatGPT search", "AI visibility", or "Brand Radar".

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。

Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats (WebP, AVIF), responsive images, lazy loading, CLS prevention, and Core Web Vitals image impact. Use when user says "image optimization", "alt text", "image SEO", "image size", "image audit", "WebP", "AVIF", "lazy loading", "CLS", "responsive images", or "Core Web Vitals images".

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。

Guideline for designing, implementing, and verifying secure Python applications following OWASP Top 10 best practices. Use when the user wants to: (1) review Python code for security vulnerabilities, (2) design a secure Python application architecture, (3) implement security features (authentication, authorization, cryptography, input validation), (4) audit Python dependencies for known vulnerabilities, (5) create security checklists or verification plans, (6) fix security bugs or harden existing Python code, (7) set up security testing and static analysis (bandit, safety, semgrep), or (8) handle any Python security concern including injection prevention, secure deserialization, SSRF protection, secrets management, and secure 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。

Write, audit, or improve an iOS App Store listing — app name, subtitle, keyword field, screenshots, app icon, preview video, creative assets, tags, ratings strategy, localization, and featuring nominations. Use when creating or reviewing App Store metadata, doing keyword research, planning a metadata update, or when the user mentions ASO, App Store Optimization, app store listing, keywords, subtitle, screenshot captions, preview video, app icon, Liquid Glass, creative assets, product page header, search results creative, Asset Library, featuring, ratings prompt, or Apple Ads.

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。

Database expert for query optimization, indexing, schema design, and performance tuning

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 adaptive learning and student personalization systems for pedagogical quality. Triggers: you need to evaluate learning path algorithms (branching, remediation, acceleration).

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 workforce scheduling systems for labor optimization and compliance. Triggers: you need to evaluate labor demand forecasting accuracy, shift generation and optimization algorithms.

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 SKU portfolio health and identify rationalization opportunities. Triggers: you need to evaluate assortment planning strategy, ABC/Pareto long-tail analysis.

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。