2.4万 件 ・ 関連度順
概要と使いどころ
Interactive Claude Code environment setup wizard. Detects existing configuration, guides through best-practice setup for Global CLAUDE.md, project scaffolding, MCP servers, hooks, custom agents, keybindings, and settings. Use when user runs /devtools:code-env-setup, mentions "setup claude code", "configure claude", "claude code setup", "environment setup", or "initialize claude 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。
Rapid UI prototyping — generates 3 visually distinct HTML/CSS components from a text prompt and serves them in a live browser gallery. Use when user runs /prototype, asks to "prototype a UI", "mock up a component", "generate HTML mockups", "create UI variations", "design exploration", "quick UI concept", or wants to see multiple visual approaches to a component. Also trigger when user says "show me different ways to build...", "explore different designs for...", or wants rapid visual exploration of a UI idea — even without saying "prototype" explicitly.
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。
Zero-dependency live-preview server providing an agent↔browser bidirectional companion. Watches a content directory, wraps HTML fragments in a frame template, broadcasts live-reload over WebSocket, and captures browser-side click events to a JSONL file. Use when an agent needs to show HTML to the user in a browser and react to clicks — mockups, design exploration, gallery browsing, multi-select choices, prototype iteration. Triggered by "live preview", "browser companion", "preview server", "browser mockup", "show in browser", "arkhe-preview", or any skill that wants to write HTML fragments and have the user see them reload in real time.
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。
Multi-agent code review using the Pragmatic Quality framework. Orchestrates parallel review agents (CLAUDE.md compliance, bug scanning, git history, security) with independent confidence scoring to produce high-signal findings. Use when user runs /code-review, /review:code-review, requests a "code review", "review my changes", "PR review", or mentions "review diff", "review branch".
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, classify, validate, and scaffold documentation using the Diataxis framework (Tutorials, How-to guides, Reference, Explanation). Use when user mentions "diataxis", "documentation framework", "quadrant", "doc audit", "doc coverage", "collapsed document", "tutorial vs how-to", "quadrant purity", "documentation types", or wants to classify docs by type.
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。
Guide users through structured collaborative documentation creation. Use when user wants to write documentation, update README, create architecture docs, draft proposals, technical specs, decision docs, refactor documentation, create API docs, or document 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。
Multi-agent review resolution with trust-but-verify methodology. Accepts a PR number/URL or a local code-review report file. Extracts review comments, verifies each with parallel agents using confidence scoring (0-100), filters false positives, presents a triage report for approval, then applies fixes and replies. Use when user runs /resolve-review, mentions "resolve PR comments", "address review feedback", "fix PR suggestions", "handle review comments", or "resolve review findings".
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。
Orchestrates 6-phase SDLC pipeline (discovery, requirements, architecture, workstreams, implementation, summary) for guided feature development. Use when user runs /core:develop command, requests spec-driven development, wants to create implementation plans with architecture decisions, or mentions "SDLC", "spec-driven", "plan feature", "development pipeline". Supports plan persistence, wave-based resume, autonomous mode, and architecture/implementation verification.
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。
Creates accurate frontend implementations from visual references while maintaining design consistency. Use when user provides Figma URLs, screenshots, design images, requests visual implementation from reference, or asks to build UI matching a design. Automatically checks existing design intent patterns before implementation.
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 a site or page against Google's OFFICIAL AI optimization guidance — readiness for AI Overviews and AI Mode, grounded in Google's published ai-optimization-guide and ai-features docs (not third-party GEO theory). Use when user says "AI optimization", "AI Overviews", "AI mode", "AI search readiness", "optimize for AI", or "GEO audit".
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。
Detect AI-generated content using pure text analysis (no external API calls). Analyzes sentence uniformity, vocabulary diversity, repetition patterns, hedging language, paragraph uniformity, and personal experience signals. Returns a 0-100 confidence score plus flagged passages. Use when user says "AI content check", "AI detection", "AI written", "content authenticity", "AI content", "detect AI".
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。
Analyze internal link structure by crawling a domain. Identifies orphan pages, underlinked pages (configurable heuristic, default fewer than 3 inbound links), and broken internal links. Suggests anchor text for top 5 underlinked pages. Reuses existing fetch/parse scripts. Optional Ahrefs enrichment. Use when user says "internal links", "link structure", "orphan pages", "internal linking", "link graph", "anchor text audit".
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。
Compare Google Search Console performance between two time periods to identify trends and changes. Supports month-over-month (MoM), year-over-year (YoY), or custom date ranges. Use when user says "GSC compare", "period comparison", "month over month", "year over year", "compare performance", "MoM", or "YoY".
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。
Detect keyword cannibalization by identifying queries where multiple pages are competing for the same ranking. Uses Google Search Console data to find queries appearing across 2 or more pages. Use when user says "keyword cannibalization", "same keyword multiple pages", "cannibalizing keywords", or "duplicate rankings".
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。
Detect content decay by identifying pages that are losing both clicks and impressions over a 90-day comparison window in Google Search Console. Surfaces pages with true long-term decline (not seasonal variation) and assigns decay severity ratings. Use when user says "content decay", "declining pages", "losing rankings", "pages losing traffic over time", or "90 day decline".
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。
Identify indexing problems and coverage issues using Google Search Console URL inspection data. Checks up to 20 pages for indexing status, coverage state, robots.txt state, and last crawl date. Use when user says "index issues", "indexing problems", "not indexed", "indexing coverage", or "why is my page not indexed".
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。
Analyze server log files for crawl budget insights. Reads Apache Combined/Common or Nginx access logs locally (no external calls). Classifies bot vs user traffic, identifies top crawled URLs, crawl frequency by path, and crawl budget concerns. Use when user says "log analysis", "crawl budget", "server logs", "bot traffic", "crawl frequency", "access log", "analyze 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。
Find quick SEO wins by identifying high-impression, low-CTR keywords using Google Search Console data. Surfaces keywords already ranking where better titles or content expansion could quickly boost traffic. Use when user says "GSC opportunities", "quick wins", "low CTR keywords", "high impressions low clicks", or "easy SEO wins".
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。
Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Enhanced with live Ahrefs (page authority, referring domains) and GSC (search performance, top keywords) data when MCPs are available. Use when user says "analyze this page", "check page SEO", or provides a single URL for review.
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。
Enter OpenSpec explore mode - a thinking partner for exploring ideas, investigating problems, and clarifying requirements in a project that uses OpenSpec. Use when the user wants to think through something before or during an OpenSpec change. Also use when the user says "openspec explore" or "opsx explore".
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 comprehensive OpenSpec specifications directly from the current project state. Use when the user wants to create or populate main specs by analyzing existing code, documentation, AGENTS.md, GitHub issues, and pull requests — without going through the change/proposal workflow. Ideal for bootstrapping specs on a project that already has working code but no specs yet, or for refreshing specs to match the current implementation.
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。
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends your capabilities with specialized knowledge, workflows, or tool 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。
Rewrite Rust documentation comments to ensure all documentation and comments are in English, following rustdoc guidelines. Use when the user wants to clean up Rust documentation, translate Chinese comments to English, fix missing documentation, or ensure rustdoc compliance in a Rust codebase.
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。