modern-best-practice-nextjs
Build performant Next.js applications using App Router, Server Components, Server Actions, and modern React best practices.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
490 skills found
Build performant Next.js applications using App Router, Server Components, Server Actions, and modern React best practices.
Generate professional tarot and astrology content for social media, including 12-sign weekly horoscopes, tarot spread scripts, event-driven video scripts, and custom cover art.
Real-time e-commerce price comparison and coupon hunting across major Chinese platforms like Taobao, JD, Pinduoduo, and more.
Search, retrieve, and manage your KUNGFU.SH bookmarks programmatically to streamline your research and knowledge management workflows.
Three.js texture management, including loading, UV mapping, environment maps, HDR support, and texture configuration (wrapping, filtering, compression).
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.
Validate and enforce consistent markdown document structure, including YAML frontmatter positioning, correct heading hierarchy, and logical content organization for Obsidian vaults.
A structured design and planning tool for Vizro dashboards, enforcing a 3-step workflow (requirements, layout, visualization) to ensure production-ready dashboard development.
Interactive guide for workspace discovery, providing access to specialist agents, automated workflows, CLI tools, and active lifecycle hooks.
Efficiently search your Zotero library using Python code execution. Enables comprehensive multi-strategy queries, automated deduplication, and relevance ranking without context overflow or system crashes.
Expert guidance for SolidStart server runtime, including request events, middleware, server functions, and API architecture.
Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.