「implementation」の検索結果

Design and review native DTOs in WordPress plugins without requiring better-data - immutable data carriers, explicit from_array hydration, strict coercion instead of unchecked casts, WP_Error validation failures, sensitive-field discipline, nested DTO arrays, and clear separation from repositories, WP models, presenters, REST controllers, and HTML views. Use when a plugin introduces FooDto, request DTOs, settings DTOs, value objects, admin-row data shapes, REST response source objects, or when reviewing code that passes raw arrays, stdClass, WP_Post, WC_Order, $_POST, post meta, or option arrays through multiple layers. Mentions better-data only as an optional higher-level library; this skill is for native implementations.

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。

Produces accessible color palettes and CSS design-token implementations for brands and websites. Use when the task asks for "color palette", "brand colors", "color scheme", "WCAG contrast", "dark mode colors", "design tokens", or "CSS custom properties for colors". Covers color theory, WCAG 2.2 contrast compliance, dark mode, AI palette extraction, and color psychology.

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。

AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered 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 patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance 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。

Turns requirements into a precise, dependency-aware implementation plan.

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 coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.

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 valid marketing experiments with hypotheses, primary metrics, guardrails, sample/traffic assumptions, implementation QA and decision rules.

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 OpenClaw frontend code and rendered interfaces for Carapace drift, token misuse, primitive reimplementation, accessibility problems, responsive defects, and off-brand copy. Use for design reviews, compliance checks, or scheduled audit-and-fix workflows.

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Use when evaluating, critiquing, transforming, or generating a Master's Informatics thesis idea, research gap, novelty, research question, experiment, AI/ML/CV/NLP/LLM/Edge-AI method, or when distinguishing R&D research from software implementation using the Frascati Manual 2015.

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 reviewing a project's architecture for design pattern applicability -- either validating a design document before implementation, or analyzing an existing codebase for pattern improvement opportunities.

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。

Apply when product, UX, or feature-scope tradeoffs come up. Choose user delight over implementation convenience; ship fewer polished features over more rough ones.

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。

Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.

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Diagnose active BIRD daemon incidents across config, runtime, environment, sockets, logs, source, and tooling. Use when BIRD fails to start or reload, crashes, loses sessions/routes, behaves differently after lint passes, or when birdcc and bird -p disagree. Collect read-only evidence first, protect routing secrets, and route isolated config edits to bird-agent or pure implementation research to bird-source-explorer.

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。

Trace BIRD routing-daemon behavior through the actual C source tree. Use for implementation questions, suspected upstream bugs, parser/keyword origins, filter instructions, protocol state machines, route attributes, birdc commands, stack traces, or BIRD 2 versus BIRD 3 source comparisons. Prefer a local checkout or exact upstream tag/commit and cite concrete files, functions, and revisions. Route config linting to bird-agent and active incidents to bird-troubleshooting.

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Write, review, discover, lint, format, and validate BIRD 2/3 routing-daemon projects with the @birdcc toolchain. Use for bird.conf, bird2.conf, bird3.conf, bird6.conf, .bird/.bird2/.bird3 files, bird.config.json, birdcc.config.json, include graphs, BIRD filters and protocols, birdcc init/lint/fmt/lsp, or bird -p checks. Treat BIRD 1 as legacy and verify it with the actual BIRD 1 binary. Route editor and CLI installation to birdcc-installer, GitHub Actions to birdcc-cicd, runtime incidents to bird-troubleshooting, and implementation archaeology to bird-source-explorer.

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Guides test implementation following the test pyramid (75% unit, 20% integration, 5% E2E), Arrange-Act-Assert pattern, and project coverage thresholds (branches 70%, functions 80%, lines 80%, statements 80%). Covers test naming conventions, test independence, mock and stub patterns, test data management with fixtures and builders, and CI integration. Use when writing tests, reviewing test code, or setting up test infrastructure.

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。

Reviews mobile security across Flutter, native Android, native iOS, React Native and Kotlin Multiplatform using OWASP MASVS. Covers credential storage, secrets, transport, deep links, WebViews, logging and platform implementations of shared KMP contracts. Use for security audits, auth/token handling, pentest findings or release hardening.

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。

Audits and fixes mobile accessibility across Flutter, native Android, native iOS, React Native and Kotlin Multiplatform, including shared Compose UI and native hosts. Covers TalkBack/VoiceOver labels, roles, state, reading order, touch targets, text scaling, contrast and focus. Use for a11y audits, screen-reader bugs or accessible UI implementation.

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Quietly reuse and improve verified coding lessons across agents. Use for a nontrivial debugging or implementation problem where an earlier solution could help, when a Blaze offer or receipt appears, or when the user asks to inspect, install, update, contribute to, or link Blaze. Check applicability, verify locally, and close the lookup with an honest outcome and contribution disposition without adding routine user-visible narration.

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エラーバジェットとアラートを用いたサービスレベルインジケーター（SLI）とサービスレベル目標（SLO）を定義・実装します。信頼性ターゲットの確立、SREプラクティスの実装、サービスパフォーマンスの測定時に使用します。

ベクトルデータベースとセマンティック検索を使用してLLMアプリケーションのためのRetrieval-Augmented Generation（RAG）システムを構築します。知識に基づいたAI、ドキュメントQ&Aシステムの構築、またはLLMと外部ナレッジベースの統合時に使用します。

JWT、OAuth2、セッション管理、RBACを含む認証・認可パターンをマスターし、安全でスケーラブルなアクセス制御システムを構築。認証システムの実装、APIの保護、セキュリティ問題のデバッグ時に使用。

Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.

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Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

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。