Loading...
Loading...
Found 945 Skills
Creates reusable prompt templates with strict output contracts, style rules, few-shot examples, and do/don't guidelines. Provides system/user prompt files, variable placeholders, output formatting instructions, and quality criteria. Use when building "prompt templates", "LLM prompts", "AI system prompts", or "prompt engineering".
Use this skill for project management: planning, progress tracking, task coordination, timeline/milestone management, risk assessment, resource allocation, and execution guidance. Examples: <example>User organizing complex development: "Starting feature with frontend, backend, infrastructure changes. Need project plan." → Creates plan with task breakdown, timeline, coordination strategy.</example> <example>User facing delays: "Project behind schedule, unsure how to prioritize tasks." → Analyzes situation, provides recovery plan with prioritized actions.</example>
Browse Bubbletea TUI framework documentation and examples. Use when working with Bubbletea components, models, commands, or building terminal user interfaces in Go.
Scaffold a production-ready Next.js (App Router) + TypeScript + Tailwind + shadcn/ui + Supabase (Postgres/Auth/Storage) boilerplate, deployable to Vercel. Includes Supabase migrations, RLS-ready multi-tenant schema, and example API routes (internal + external).
shadcn/ui component integration for Inertia Rails React (NOT Next.js): forms, dialogs, tables, toasts, dark mode, command palette, and more. Use when building UI with shadcn/ui components in an Inertia app or adapting shadcn examples from Next.js. NEVER react-hook-form/zod — wire shadcn inputs to Inertia Form via name attribute. Flash toasts require Rails flash_keys initializer config.
shadcn-vue component integration for Inertia Rails Vue 3 (NOT Nuxt): forms, dialogs, tables, toasts, dark mode, and more. Use when building UI with shadcn-vue components in an Inertia + Vue app or adapting shadcn-vue examples from Nuxt. Wire shadcn-vue inputs to Inertia Form via name attribute and #default scoped slot. Flash toasts require Rails flash_keys initializer config.
Optimize, rewrite, and evaluate prompts using the Anthropic 1P interactive prompt-engineering tutorial patterns (clear/direct instructions, role prompting, XML-tag separation, output formatting + prefilling, step-by-step “precognition”, few-shot examples, hallucination reduction, complex prompt templates, prompt chaining, and tool-use XML formats). Use for 提示词优化/Prompt优化/Prompt engineering, rewriting system+user prompts, enforcing structured outputs (XML/JSON), reducing hallucinations, building multi-step prompt templates, adding few-shot examples, or designing prompt-chaining/tool-calling scaffolds.
Guide for Claude Agent SDK - build custom AI agents powered by Claude. Covers installation, authentication providers, tool permissions, file-based configuration, TypeScript/Python code examples, and project scaffolding templates.
Creative writing skill for creating style skills that teach Claude to write in specific styles. Use when you want to create style guides that the cw-prose-writing skill can follow. Creates either simple markdown files or full .skill packages. Audience is AI (Claude), format is directive and example-based.
ANTI-PATTERN - Example showing violations of self-containment (DO NOT COPY)
Use this agent when you need a final review pass to ensure code changes are as simple and minimal as possible. This agent should be invoked after implementation is complete but before finalizing changes, to identify opportunities for simplification, remove unnecessary complexity, and ensure adherence to YAGNI principles. Examples: <example>Context: The user has just implemented a new feature and wants to ensure it's as simple as possible. user: "I've finished implementing the user authentication system" assistant: "Great! Let me review the implementation for simplicity and minimalism using the code-simplicity-reviewer agent" <commentary>Since implementation is complete, use the code-simplicity-reviewer agent to identify simplification opportunities.</commentary></example> <example>Context: The user has written complex business logic and wants to simplify it. user: "I think this order processing logic might be overly complex" assistant: "I'll use the code-simplicity-reviewer agent to analyze the complexity...
Search and retrieve Microsoft Customer Stories from the official Microsoft Customer Stories site (https://www.microsoft.com/en-us/customers/search). Use when the user asks to find customer case studies, success stories, or reference examples of Microsoft technology adoption. Supports filtering by product (Azure, M365, Dynamics 365, etc.), region/country, industry, business need, organization size, and keyword search. Can also fetch individual story details. Typical triggers include questions like "Find customer stories about Azure OpenAI in Japan", "Show me healthcare companies using Microsoft 365 Copilot", or "日本の製造業でAIを活用した事例を探して".