「advanced」の検索結果

Optimize images for web performance — format conversion (WebP, AVIF), responsive sizing, compression, background removal, lazy loading, and WordPress media library integration. Uses MCP bridge tools (resize_image, remove_background) as primary; the Design Stack media worker (Sharp) as fallback for advanced/batch processing. Use when you need to resize images for social media, convert formats for faster page loads, remove backgrounds from product photos, generate alt text, or batch-process an entire media library.

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。

Publish and schedule content to social media platforms (Twitter/X, Facebook, Instagram, LinkedIn) via the MCP bridge schedule_social_post tool as primary. The Design Stack media worker API is the fallback for advanced platform management. Covers platform-specific formatting, media attachment, scheduling, and WordPress-to-social publishing workflows. Use when posting to social platforms, scheduling future posts, attaching media to posts, checking optimal timing, or debugging API delivery failures.

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 media pipeline automation — from AI generation through optimization to social publishing. Covers workflow design, WordPress integration, Redis job queuing, batch processing, multi-site pipelines, and orchestration. MCP bridge tools are the primary interface for individual operations; the Design Stack media worker handles batch and advanced processing. Use when you need to automate image generation→optimization→publishing chains, set up cross-site media sync, design batch processing pipelines, or orchestrate multi-step media workflows triggered by post publish or cron.

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。

Expert-level guidance for Flutter production applications: architecture decisions (Clean/Layered/Hexagonal/Feature-First), advanced state management (BLoC/Riverpod/GetX), performance optimization (eliminating jank, memory profiling, reducing rebuild overhead), code review with design pattern enforcement, scalability assessments, native platform integration (MethodChannel/EventChannel/FFI), complex UI challenges (custom render objects, slivers), testing strategies (unit/widget/integration/golden), CI/CD pipeline architecture, build optimization, and accessibility compliance. Triggers: 'architecture decision', 'design pattern', 'performance issue', 'code review', 'production problem', 'scaling concerns', 'best practices', 'technical debt', 'refactoring strategy'. Essential for complex enterprise apps, critical production debugging, architectural refactors, or when choosing between competing technical approaches.

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ジェネリクス、条件型、マップ型、テンプレートリテラル、ユーティリティ型を含むTypeScriptの高度な型システムを習得し、型安全なアプリケーションを構築します。複雑な型ロジックの実装、再利用可能な型ユーティリティの作成、TypeScriptプロジェクトでのコンパイル時型安全性の確保時に使用してください。

rebase、cherry-pick、bisect、worktree、reflogを含む高度なGitワークフローをマスターし、クリーンな履歴を維持し、あらゆる状況から回復。複雑なGit履歴の管理、フィーチャーブランチでの協働、リポジトリ問題のトラブルシューティング時に使用。

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt templates.

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。

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

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。

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns.

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Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.

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Automate Attio CRM operations -- search records, query contacts and companies with advanced filters, manage notes, list attributes, and navigate your relationship data -- using natural language throug

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Advanced JavaScript animation library skill for creating complex, high-performance web animations.

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。

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations.

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。

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise compari

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Dashboard metric register: metric, source module, formula, period, value, target, trend, owner and last-updated, as CSV, SQL, JSON Schema or Notion on request. Use for KPI dashboards.

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 working with Cloudflare Dns Deep — advanced Cloudflare DNS management covering zone records, DNSSEC configuration, DNS analytics, load balancing pools, health checks, and DNS firewall. Use for deep DNS record management, DNSSEC troubleshooting, DNS traffic analytics, configuring DNS-based load balancing, or auditing DNS security settings.

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Use when working with Aws Ses Deep — advanced AWS SES management including sending quotas, identity verification, configuration sets, dedicated IPs, reputation dashboard, suppression list, email receiving rules, and deliverability advisor. Goes beyond basic SES to cover DKIM/DMARC compliance, event publishing, and virtual deliverability manager.

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 working with Aws Config Deep — aWS Config deep rule and compliance management. Covers Config rules, conformance packs, aggregators, advanced queries, remediation actions, configuration history, and multi-account compliance dashboards. Use when auditing AWS resource compliance, managing Config rules, reviewing conformance pack results, or querying resource configurations across accounts.

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 working with Algolia Deep — advanced Algolia search platform management including indices, search analytics, A/B tests, query rules, synonyms, API key audit, and infrastructure monitoring. Covers search performance metrics, relevance tuning, click-through analysis, indexing health, and usage quota tracking.

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。

An advanced agent for de novo antibody design and optimization using state-of-the-art protein language models (MAGE, RFdiffusion).

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。

Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration.

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。

Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability.

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。

You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimizati

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。

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.

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。