Web & Frontend

yonatangross Bundle

Mockup-to-component pipeline using Google Stitch, 21st.dev, and Storybook MCP. Accepts a screenshot, a description, or a URL and produces production-ready React components, checking existing Storybook components before generating anything new. Use when implementing UI from a mockup or screenshot. To call the MCP tool surface on its own, with no design to convert, use storybook-mcp-integration.

yonatangross Bundle

Renders planned changes — architecture and before/after comparisons, risk heat maps, execution order, dependency graphs, impact metrics — in your chosen output format (ASCII + emojis, an interactive HTML playground, or a NotebookLM infographic). Stores visualizations in memory for cross-session reference. Use when reviewing implementation plans, comparing approaches, assessing risk, or analyzing change propagation.

yonatangross Bundle

Reference for Zustand 5.x state management including slices, middleware, Immer, useShallow, persistence, selectors, and devtools integration. Documents 7 core patterns with TypeScript examples and anti-patterns. Use when building React state management with Zustand instead of Redux.

yonatangross Bundle

Storybook 10 testing patterns with Vitest integration, ESM-only distribution, CSF3 typesafe factories, play() interaction tests, Chromatic TurboSnap visual regression, module automocking, accessibility addon testing, and autodocs generation. Use when writing component stories, setting up visual regression testing, configuring Storybook CI pipelines, or migrating from Storybook 9.

yonatangross Bundle

Implements internationalization (i18n) in React applications. Covers user-facing strings, date/time handling, locale-aware formatting, ICU MessageFormat, and RTL support. Use when building multilingual UIs or formatting dates/currency.

yonatangross Bundle

json-render component catalog patterns for AI-safe generative UI. Define Zod-typed catalogs that constrain what AI can generate, use @json-render/shadcn for 36 pre-built components, optimize specs with YAML mode, and apply the three edit modes (patch/merge/diff) for progressive updates. Use when building AI-generated UIs, defining component catalogs, or integrating json-render into React/Vue/Svelte/React Native/Ink/Next.js projects.

yonatangross Bundle

Integration and contract testing patterns — API endpoint tests, component integration, database testing, Pact contract verification, property-based testing, and Zod schema validation. Use when testing API boundaries, verifying contracts, or validating cross-service integration.

yonatangross Bundle

Design token management with the W3C Design Token spec, three-tier hierarchy (global/alias/component), OKLCH color, Style Dictionary transforms, and dark mode theming. Use when creating token files, implementing theme systems, or building design-to-code pipelines.

yonatangross Bundle

Multi-surface rendering with json-render — one JSON spec produces React web, Next.js, React Native, Ink terminal UIs, PDFs, emails, Remotion videos, OG images, and 3D scenes. Covers renderer target selection, registry mapping, and platform APIs (renderToBuffer, renderToStream, renderToFile). Use when generating output for several platforms or creating PDF reports, email templates, demo videos, or social images from one component spec.

yonatangross Bundle

Animation and motion design patterns using Motion library (formerly Framer Motion) and View Transitions API. Use when implementing component animations, page transitions, micro-interactions, gesture-driven UIs, or ensuring motion accessibility with prefers-reduced-motion.

yonatangross Bundle

Reference for the Storybook MCP server itself (@storybook/addon-mcp): 6 tools across 3 toolsets (dev, docs, testing), availability detection, and per-agent toolset filtering. Use when setting up the server or calling these tools directly against components that already exist. For the end-to-end pipeline that turns a mockup into a new component and consumes these tools as one stage, use design-to-code.

yonatangross Bundle

Use when building Next.js 16+ apps with React Server Components. Covers App Router, Cache Components (replacing experimental_ppr), streaming SSR, Server Actions, and React 19 patterns for server-first architecture.

terrylica Bundle

Build or deepen a single-file interactive HTML explainer that teaches back difficult material already established in the conversation (or a named subject/source). Use when someone wants a durable, self-contained lesson with rendered mathematics, an exploratory multiple-choice assessment, and a terminology loop that lets the reader push unfamiliar terms back for deeper coverage.

terrylica Bundle

SOTA stack recommendations for elegant, controlled, semantic static HTML pages — dashboards, post-mortems, technical-investigation reports,

terrylica Bundle

Scaffold a sitemap-organized HTML showcase site (provenance reports, contractor showcases, telemetry dashboards, weekly digests, audit results).

terrylica Bundle

Build a self-contained, single-file interactive HTML page (explanations + multiple-choice votes + rank + free-form comments) whose responses round-trip as downloadable/importable JSON — no backend, no tracking — and publish it privately on your own host behind noindex + an unguessable path.

terrylica Bundle

Remove TTS and Telegram sync components cleanly. TRIGGERS - uninstall tts, remove telegram bot, uninstall kokoro

terrylica Bundle

Upgrade Kokoro model, bot dependencies, or TTS components. TRIGGERS - upgrade kokoro, update model, upgrade bot

terrylica Bundle

Deploy static HTML files to Cloudflare Workers with 1Password credential management.

terrylica Skill

Parse an image, PDF, or directory into markdown with LaTeX formulas, HTML/markdown tables, and per-block layout bounding boxes, using baidu/Unlimited-OCR locally — free, offline, no API key, no upload quota. Runs on Apple Silicon via MLX (~2.4 s/image, ~5 GB) or an NVIDIA GPU via transformers. Use when transcribing scanned or image-based documents, extracting equations from a paper, converting a PDF to markdown, OCR-ing screenshots, or replacing a paid vision-API OCR call with a local one. TRIGGERS - unlimited-ocr, ocr this, ocr a pdf, extract text from image, transcribe document, pdf to markdown, document parsing, extract formulas, extract equations, latex from image, local ocr, offline ocr, scanned pdf, image to text, layout parsing, bounding boxes from document.

aladicf Skill

Systematically audit and remediate accessibility issues in UI, focusing on keyboard navigation, screen reader support, color contrast, semantic HTML, ARIA usage, and motion sensitivity. Use when the user wants to improve accessibility, make a component accessible, fix WCAG violations, add keyboard support, or ensure screen reader compatibility.

aladicf Skill

Build or improve a UI testing strategy covering visual regression, interaction testing, and accessibility assertions. Use when the user asks to add tests, set up testing, fix flaky tests, improve test coverage, validate UI behavior, catch visual bugs, or establish confidence in shipping frontend changes.

aladicf Skill

Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants measurable accessibility, performance, responsive, theming, or anti-pattern findings—not when they mainly want an overall UX critique or final visual/detail polish.

aladicf Skill

Gather and persist project design context such as audience, brand personality, UX goals, and implementation defaults for future better-web-ui work. Use when starting a project, defining UI direction, or establishing reusable design guidance before other better-web-ui skills.

aladicf Bundle

Generate 5 distinct, production-grade UI variations for a requested new or existing section, component, page, flow, or shell, then help the user preview and apply one. Use when the user asks to add or redesign UI like a hero, pricing, navbar, auth flow, dashboard shell, ecommerce surface, or data component.

aladicf Bundle

Evaluate an interface from a UX perspective, assessing hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring and actionable feedback. Use when the user wants an overall design or UX review—not when the main need is measurable accessibility/performance diagnosis, or final micro-detail polish.

aladicf Bundle

Create distinctive, production-grade frontend interfaces with strong hierarchy, thoughtful systems, and polished implementation that avoid generic AI aesthetics. Use when the user wants to build or redesign web pages, flows, components, or full app surfaces, or when another better-web-ui skill needs shared project design context before other better-web-ui skills.

lyndonkl Skill

Builds interactive D3 visualizations of genetics and genomics concepts for the vault's docs/ GitHub Pages site — each one a teaching object with a takeaway-stating title, an annotation layer, and a guided reading order. Specializes d3-visualization, visual-storytelling-design, and cognitive-design for the crop-genetics / genomic-selection domain, supplying a concept-to-visualization catalog, preattentive encoding guidance, colorblind-safe palettes, accessibility requirements, and a fixed docs/ file layout. Delegates design review to the cognitive-design-architect agent and runs design-evaluation-audit and cognitive-fallacies-guard before publish. Use when turning an evergreen claim into an interactive figure, building or revising a docs/ visualization, or planning the site's viz layout. Trigger keywords — D3 viz, interactive figure, GitHub Pages chart, Hardy-Weinberg, Manhattan plot, allele drift, LD decay, breeder's equation, genomic prediction accuracy, reaction norm, kinship heatmap.

lyndonkl Skill

Domain-neutral methodology for the second level of Adler-style reading - understanding what a document is about *as a whole* and how its parts relate. Classifies content (practical vs theoretical; sequential / categorical / structured / hybrid), states unity in one sentence, enumerates major parts and their organization, and defines the problems the document tries to solve. Reusable across any extraction workflow - skill creation from a methodology document, Pass-2 content grasp on an academic paper, structural review of a long-form document. Use when an agent has done inspectional reading and now needs to map structure before deeper component extraction. Trigger keywords - structural analysis, document structure, state unity, enumerate parts, Adler Level 2, content classification, define problems.

lyndonkl Skill

Domain-neutral methodology for the third level of Adler-style reading - extracting structured components (terms, propositions, arguments, solutions) from a document section by section. Selects a reading strategy appropriate to document size and structure (section-based for documents under 50 pages with clear sections; windowing for long documents without breaks; targeted for hybrid content where only specific sections matter). Writes per-section extraction notes that downstream synthesis can consume. Reusable across any extraction workflow - skill creation from a methodology document, Pass-2 content grasp on a paper's full text, evidence-mining from a long-form report. Use when an agent has done structural analysis and now needs to extract the actual atomic content. Trigger keywords - component extraction, section-by-section extraction, extract terms, extract propositions, extract arguments, Adler Level 3, interpretive reading.

lyndonkl Skill

Produces an explicit component-by-component mapping from the analogy's source domain to the target technical concept. Rejects vague analogies by forcing each source element to map to a specific target element, and flags unmapped elements as voice-breaking ("it's like a brain" is rejected because "brain" is unmapped). Use after generate-analogy-set, for each of the 5 framings. Trigger keywords — map, component mapping, source target, explicit mapping, what does the X correspond to.

lyndonkl Skill

Produces the counterfactual framing in an Intuition Builder 5-set — "what if this component were not here?" Reveals the function of a technical element by subtracting it and observing what breaks. Uses Pearl's causal ladder (counterfactual = level 3) as the theoretical spine. Use as the 5th archetype slot of generate-analogy-set, or invoked standalone when the writer wants to build intuition for why a specific element exists. Trigger keywords — counterfactual, what if not, remove, subtract, reveal function, why does this exist.

lyndonkl Skill

Parse a heterogeneous conference program (markdown, HTML, PDF-derived text, or JSON) into normalized event records with per-field confidence scores and independent classification axes (topic, depth, format, prerequisites, recorded, capacity). Detects the program's format before extracting, treats every inferred field as uncertain (present vs inferred vs missing), and flags thin or missing abstracts so downstream enrichment can target them. Conference-agnostic. Use when ingesting a conference or event schedule into a structured store, normalizing a talk/session list, or extracting per-session metadata with calibrated confidence. Trigger keywords - program ingestion, parse schedule, session extraction, event records, conference program, talk metadata, per-field confidence.

lyndonkl Bundle

Creates visual maps that make implicit relationships, dependencies, and structures explicit through diagrams, concept maps, and architectural blueprints. Guides through identifying nodes and relationships, choosing visualization approaches, and validating completeness. Use when complex systems need visual documentation, mapping component relationships and dependencies, creating hierarchies or taxonomies, documenting process flows or decision trees, understanding system architectures, visualizing data lineage or knowledge structures, or when user mentions concept maps, system diagrams, dependency mapping, relationship visualization, or architecture blueprints.

lyndonkl Skill

Generates a single self-contained static HTML dashboard for a household finance JSON store, with embedded D3.js, inlined data, and six standard panels (net worth over time, monthly cash flow, recurring & subscriptions, goals progress, asset allocation, vigilance feed). Applies cognitive-design principles for visual hierarchy and visual-storytelling-design for narrative annotations. Use when emitting a weekly or monthly finance dashboard, or when user mentions weekly dashboard, household dashboard, finance HTML report, or static dashboard.

rysweet Bundle

Convert documents (PDF, Word, Excel, PowerPoint, images, HTML) to Markdown using microsoft/markitdown. Use for document analysis, content extraction, preprocessing for LLMs, or batch document conversion. Supports images with OCR/LLM descriptions, audio transcription, and ZIP archives.