frontend▌
1,037 indexed skills · max 10 per page
react
vercel-labs/json-render · Frontend
Convert JSON specs into React component trees with type-safe props and state management. \n \n Define catalogs with Zod schemas for component props, then implement components with automatic type safety and validation \n Built-in state management via StateProvider with two-way binding ( $bindState ), conditional rendering, and external store integration (Redux, Zustand, XState) \n Event system with action dispatching, state watchers, and four built-in actions (setState, pushState, removeState, va
running-design-reviews
refoundai/lenny-skills · Frontend
Framework for running design reviews using feedback hierarchy and structured critique. \n \n Prioritize feedback by value first (does it solve the problem?), then usability, then delight; defer aesthetic concerns until core value is validated \n Assign senior leaders as project sponsors to oversee quality through live demos and review 100% of shipped screens before launch \n Structure reviews around specific feedback requests; ask presenters exactly what type of input they need rather than openi
tailwind-best-practices
mastra-ai/mastra · Frontend
Styling guidelines for the Mastra Playground UI, containing 5 rules across 3 categories. Rules are prioritized by impact to guide automated refactoring and code generation. These rules ensure design system consistency, prevent token drift, and maintain component library integrity.
book-cover-design
inference-sh/skills · Frontend
Create genre-appropriate book covers with AI image generation via inference.sh CLI.
build-review-interface
hamelsmu/evals-skills · Frontend
Build an HTML page that loads traces from a data source (JSON/CSV file), displays one trace at a time with Pass/Fail buttons, a free-text notes field, and Next/Previous navigation. Save labels to a local file (CSV/SQLite/JSON). Then customize to the domain using the guidelines below.
ai-agent-builder
claude-office-skills/skills · Frontend
Design and build AI agents with tools, memory, and multi-step reasoning capabilities. Covers ChatGPT, Claude, Gemini integration patterns based on n8n's 5,000+ AI workflow templates.
ralph-tui-prd
subsy/ralph-tui · Frontend
Generate detailed Product Requirements Documents optimized for AI agent execution via ralph-tui task orchestration. \n \n Guides users through adaptive clarifying questions to understand feature scope, goals, and quality requirements \n Produces structured PRDs with user stories, functional requirements, and explicit quality gates for automated conversion to beads issues or prd.json \n Emphasizes small, independently completable user stories with verifiable acceptance criteria suitable for singl
browser-extension-builder
sickn33/antigravity-awesome-skills · Frontend
Build browser extensions for Chrome, Firefox, and cross-browser platforms using Manifest V3 architecture. \n \n Covers extension structure, Manifest V3 configuration, content scripts, background service workers, popup UIs, and storage patterns \n Includes communication patterns between popup, background worker, and content scripts; DOM injection and event handling on web pages \n Provides Chrome Storage API usage with async/await patterns, storage limits, and data persistence across devices \n H
product-taste-intuition
refoundai/lenny-skills · Frontend
Develop product taste and intuition using frameworks from 10 product leaders. \n \n Grounded in core principles: intuition as hypothesis generation, taste as a learnable skill built through exposure hours, and deliberate self-observation of your own product reactions \n Guides users to identify gaps in their judgment, suggest targeted practice activities, and know when to trust gut instinct versus data \n Includes diagnostic questions to surface what products users analyze regularly, how they no
community-building
refoundai/lenny-skills · Frontend
Frameworks for building and scaling product communities from 18 leaders at Notion, Figma, and WordPress. \n \n Identify your community type (user, agency, or partner) and find the \"atomic unit of sharing\" that members naturally want to showcase \n Start with listening to early members through 1:1 calls before imposing structure; begin with your 20 most vocal organic supporters \n Design for quality over rapid growth by implementing application processes and cohort-based onboarding to maintain