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Found 1,499 Skills
Creates new rule files and library skills following project conventions, prefix-to-section mapping, and template standards.
Build production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction. Covers Web Unlocker API, SERP API, Web Scraper API, and Browser API (Scraping Browser).
Architects a Flutter application using the recommended layered approach (UI, Logic, Data). Use when structuring a new project or refactoring for scalability.
Pinia stores, state management patterns, store setup, and reactivity with stores.
MySQL development best practices for schema design, query optimization, and database administration
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.
Angular 20+ performance optimization guidelines with Signals, httpResource, signal inputs/outputs, @defer, and native control flow (@if, @for). Use when writing, reviewing, or refactoring modern Angular code. Triggers on tasks involving Angular components, services, data fetching, bundle optimization, or performance improvements.
JSX syntax in Vue (e.g., class vs className, JSX plugin config).
Nuxt 3/4 performance optimization and architecture guidelines for building fast, maintainable full-stack applications. This skill should be used when writing, reviewing, or refactoring Nuxt code to ensure optimal patterns. Triggers on tasks involving data fetching, server routes, auto-imports, rendering modes, or Nuxt-specific features.
Systematic approach to GitHub release preparation following 2025/2026 best practices for Rust workspace projects
General principles for structured content modeling that apply across CMSs, with Sanity-specific guidance. Use when designing content schemas, planning content architecture, or evaluating content reuse strategies.
A/B testing and content experimentation methodology for data-driven content optimization. Use when implementing experiments, analyzing results, or building experimentation infrastructure.