5.3万 件 ・ 関連度順
概要と使いどころ
Guide for creating and editing Claude Code skills. Use when user wants to create a new skill, create a new slash command (skills are the unified primitive - commands live in skills/ now), update an existing skill, or needs help structuring a SKILL.md file.
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。
Creating an Azure DevOps work item or posting a comment with the obvious `az boards` command silently stores HTML that cannot be fixed afterward. Use this instead. Also covers reading a work item and transitioning its state. Trigger on "create ticket", "new work item", "comment on
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。
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
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 this skill when the user asks to test, verify, interact with, or automate web pages and browsers. Trigger for requests involving Chrome automation, browser testing, web scraping, screenshot capture, element selection, or checking web applications. Also trigger when user mentions "browser tools" 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。
Identify and fix typos and grammar mistakes in a file, limited to syntax errors only. Use when user asks to find or fix typos, grammar mistakes, spelling, or syntax errors in a file. Does not suggest editorial or style changes.
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。
Triage requirements, specs, or tickets. Detect input (pasted text, markdown path, tracker ticket id/URL, or empty prompt). Explore codebase + docs, score completeness, ask clarifying questions, write a markdown report. Trigger when user says "triage", "review this spec", "is this requirement complete", or provides a ticket/spec to assess.
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 context files (CLAUDE.md, .claude/ tree, READMEs, docs) for broken references and verifiably stale content. Runs a deterministic offline link/path checker first, then a bounded semantic review where every finding must cite evidence. Reports findings; fixes only on request. Use when the user says "docs check", "/docs-checker", "check the docs for stale content", "audit CLAUDE.md", or when a scheduled cloud routine fires.
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。
Pick an element from the browser by clicking it (starts the dev server if needed) and get back its CSS selector, tag, classes, and text. Manual only.
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。
Drive a headed browser to a specific state in a web app (a feature, flow, screen, or bug repro) and leave the window open for the user to explore. Use when the user says "show me X", "take me to that screen", "set up the repro", or wants to try an app state firsthand.
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 for writing any English text like docs, notes, summaries, explanations, answers, README sections.
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 this repo's auto-memory files and suggest promoting each one to a more persistent layer — user or repo CLAUDE.md, an existing or new skill, a settings.json hook, or a checked-in reference doc. Use when the user says "audit memory", "promote memory", "clean up memories", "memory-promote", or wants to move ephemeral memory into durable config.
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 ~/.claude/custom-handoff.md to hand off current work to the next session
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 high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk 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。
PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).
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。
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, inspect datasets, and query the GraphQL API. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.
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。
Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas.
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 or update standardized object-oriented component documentation using a shared template plus mode-specific guidance for new and existing docs.
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。
Decision frameworks and patterns for choosing and composing Claude Code components — skills, sub-agents, hooks, MCP servers, and slash commands — into effective multi-component agentic systems with proper orchestration and context management.
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 presentations and web content to GitHub Pages. Converts PPTX, PDF, HTML, or Google Slides to a live GitHub Pages URL. Handles repo creation, file conversion, Pages enablement, and returns the live URL. Use when the user wants to publish, deploy, or share a presentation or HTML file via GitHub Pages.
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。
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.
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 and run evaluators for AI/LLM applications using Phoenix.
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。
A comprehensive guide for GitHub Copilot to craft immersive, high-performance web experiences with advanced motion, typography, and architectural craftsmanship.
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 Power BI DAX formula optimization prompt for improving performance, readability, and maintainability of DAX calculations.
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。
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.
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。