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概要と使いどころ
SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO: baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".
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。
Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability, indexability, Core Web Vitals with INP), schema markup, content quality (E-E-A-T), image optimization, sitemap analysis, and GEO for AI Overviews/ChatGPT/Perplexity. Industry detection for SaaS, e-commerce, local, publishers, agencies. Triggers on: SEO, audit, schema, Core Web Vitals, sitemap, E-E-A-T, AI Overviews, GEO, technical SEO, content quality, page speed.
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 THE DOOR LAW (every record the UI names opens; every detected problem ships its fix) and THE INVENTORY LAW. Use before building or fixing a surface that names a record or flags a problem (cell, row, dialog, badge, warning, id, count), or on 'no link to X', 'why can't I click this', 'dead end', EntityRef, peek. NOT for page chrome (use core-route-headers).
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。
The Shape System — the content_ir kind registry for structured content. Use when adding, activating, or rendering a kind/shape, writing `__kind` JSON, kind schemas or samples, XML-tag/fence detection surfaces, kind components, workflow node input_kind/output_kind, or binding agent output to a kind.
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 interaction - raycasting, controls, mouse/touch input, object selection. Use when handling user input, implementing click detection, adding camera controls, or creating interactive 3D experiences.
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。
Gives coding agents temporal awareness by reading the session transcript the host already writes, so the agent stops guessing about time and stops repeating commands that just failed. Activates whenever an agent reasons about recency, elapsed time, retry windows, deploy cooldowns, memory or file staleness, idle detection, or any "when / how long ago / how long did that take" question. Required for autonomous, parallel, or long-running agents.
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 writing for technical content, social media, and developer documentation. Use when asked to write tweets, LinkedIn posts, blog posts, READMEs, commit messages, feature announcements, or any written content. Optimized to avoid AI detection patterns.
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。
Writing style guide for technical content, social media, blog posts, READMEs, git commits, and developer documentation. Optimized to avoid AI detection patterns. Use when writing any content beyond 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。
This skill should be used when agents generate placeholder tokens like "pseudo-", "mock-", "temporary", "TODO", "demo-", or similar incompleteness markers. Detects substitution patterns in agent OUTPUT and triggers mandatory user interview instead of accepting incomplete work. Activates automatically on any output containing forbidden tokens.
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。
SOLID principles knowledge base for PHP 8.5 projects. Provides quick reference for SRP, OCP, LSP, ISP, DIP with detection patterns, PHP examples, and antipattern identification. Use for architecture audits and code quality reviews.
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。
PSR-1 and PSR-12 coding standards knowledge base for PHP 8.5 projects. Provides quick reference for basic coding standard and extended coding style with detection patterns, examples, and antipattern identification. Use for code style audits and compliance reviews.
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。
Analyzes bounded context boundaries in DDD projects. Detects cross-context coupling, shared kernel violations, context mapping issues, and ubiquitous language inconsistencies. Generates context map diagrams and boundary recommendations.
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。
Analyzes PHP code for encapsulation violations. Detects public mutable state, exposed internals, Tell Don't Ask violations, getter/setter abuse, and information hiding breaches.
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。
Analyzes PHP codebase for SOLID principle violations. Detects God classes (SRP), type switches (OCP), broken contracts (LSP), fat interfaces (ISP), and concrete dependencies (DIP). Generates actionable reports with severity levels and remediation recommendations.
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。
Analyzes PHP codebase for test coverage gaps. Detects untested classes, methods, branches, exception paths, and edge cases. Provides actionable recommendations.
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。
Detects leaky abstractions in PHP code. Identifies implementation details exposed in interfaces, concrete returns from abstract methods, framework leakage into domain, and infrastructure concerns in application layer.
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 comprehensive academic research notes with deep literature coverage. Auto-detects language (EN prompt→EN output, TR prompt→TR output). Supports Obsidian markdown and PDF. Performs 8-15 iterative search cycles with 25-50+ sources for comprehensive coverage. Uses footnote citations and visual overviews.
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。
[61] VALIDATE. Comprehensive code quality check combining ESLint, TypeScript compilation, and unused code detection. Runs full lint suite with detailed error reporting and fix suggestions. Use before commits, after major changes, or when ensuring code quality standards.
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。
5W1H Decision Framework Tool. Use for: (1) Systematic decision-making before creating todos, (2) Preventing duplicate implementation, (3) Detecting avoidance behavior, (4) Ensuring agile refactor compliance with executor/dispatcher separation
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。
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects. Each step has a self-contained context brief so a fresh agent can execute it cold. Includes adversarial review gate, dependency graph, parallel step detection, anti-pattern catalog, and plan mutation protocol. TRIGGER when: user requests a plan, blueprint, or roadmap for a complex multi-PR task, or describes work that needs multiple sessions. DO NOT TRIGGER when: task is completable in a single PR or fewer than 3 tool calls, or user says "just do it".
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 powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns.
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 AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.
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 image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping.
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 AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.
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。