Turbopack expert guidance. Use when configuring the Next.js bundler, optimizing HMR, debugging build issues, or understanding the Turbopack vs Webpack differences.

Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a single codebase. Covers the Chat class, adapters, threads, messages, cards, modals, streaming, state management, and webhook setup.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.

Build AI-powered voice agents using Twilio ConversationRelay. Handles real-time speech recognition (ASR), text-to-speech (TTS), and bidirectional audio streaming via WebSocket. Covers TwiML setup, WebSocket message types, LLM integration, streaming responses, and voice provider configuration. Use this skill to build voice bots, IVR replacements, or real-time AI voice assistants on Twilio calls.

Monitor email program health with SendGrid Engagement Quality (SEQ) scores. Covers the SEQ API endpoints, the 5 scoring metrics (engagement recency, open rate, bounce classification, bounce rate, spam rate), eligibility requirements, and interpreting scores for deliverability improvement. Use when diagnosing SendGrid deliverability issues or monitoring sender reputation. Requires a SendGrid API key (SG.-prefix) — not applicable to the Twilio Email API (comms.twilio.com).

Configure SendGrid dynamic templates (Handlebars), tracking settings (opens, clicks, subscriptions), link branding for custom tracking domains, and content types (HTML, plain text, AMP). Use when customizing SendGrid email content, tracking behavior, or branded links. Requires a SendGrid API key (SG.-prefix) — not applicable to the Twilio Email API (comms.twilio.com).

Twilio Messaging channel overview and onboarding guide. Covers all channels (SMS, WhatsApp, RCS, Facebook Messenger), the unified Messages API, channel selection guidance, and the recommended setup sequence from first message to production monitoring. Start here before choosing a specific messaging channel.

Use when the caller has Twilio credentials (Account SID + Auth Token or API Key SID + Secret) and needs to send email via comms.twilio.com/v1/Emails. This is Twilio-native email — NOT SendGrid. Do NOT use if the caller has a SendGrid API key (SG.-prefix) — use twilio-sendgrid-email-send instead. Covers single sends, batch sends up to 10,000 recipients, Liquid personalization, operation tracking, and error handling.

Create, manage, and send message templates using Twilio's Content API. Covers template creation for WhatsApp, SMS, RCS, and MMS; variable usage; WhatsApp Meta approval; and sending templates via ContentSid. Use this skill when building structured messages that require pre-approval or consistent formatting across channels.

Use when an OpenAI API request fails and Codex needs to classify the likely cause, explain the next step, and route to the right follow-up. Covers common runtime failures such as blocked outbound network access, invalid credentials, exhausted API quota or credits, rate limits, and model, project, or organization access issues; delegate key provisioning to openai-platform-api-key and current documentation lookups to openai-docs.

Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. Trigger keywords: physical ai infrastructure, resilient scaling, SDG infrastructure, microk8s, azure aks, NVCF deployment, NIM Operator, OSMO deploy, workflow scaling. Don't trigger for: OSMO log summarization or workload-only operations unless infrastructure setup, scaling, validation, or recovery is requested.

This skill should be used when the user asks about Mixpanel product analytics, event data, funnel analysis, retention curves, cohort analysis, segmentation queries, user behavior, conversion rates, churn, DAU/MAU, ARPU, revenue metrics, feature adoption, A/B test results, user paths, flow analysis, or any request to query, explore, visualize, or analyze Mixpanel data using Python. Also use when the user asks to read, write, or manage Mixpanel "business context" — the markdown documentation that grounds AI assistants in an organization's structure and goals.

Submit compact NCBI Datasets v2 requests for assembly, genome, taxonomy, and related metadata endpoints. Use when a user wants concise NCBI Datasets summaries; save raw JSON or text only on request.

Submit compact ChEBI 2.0 API requests for chemical search, compound lookup, ontology traversal, and structure metadata. Use when a user wants concise ChEBI summaries

GSAP animation reference for HyperFrames. Covers gsap.to(), from(), fromTo(), easing, stagger, defaults, timelines (gsap.timeline(), position parameter, labels, nesting, playback), and performance (transforms, will-change, quickTo). Use when writing GSAP animations in HyperFrames compositions.

Set browser-game architecture before implementation. Use when the user needs engine choice, simulation and render boundaries, input model, asset organization, or save/debug/performance strategy.

Generate and normalize 2D sprite animations. Use when the user asks for full-strip generation from approved source frames, consistent anchor and scale normalization, or preview assets for browser-game animation.

Design and implement parallax scrolling and scrollytelling data visualizations. Use when the user asks for parallax scrolling, scrollytelling, scroll-driven timelines, sticky graphics, Scrollama, ScrollTrigger, ScrollTimeline, view timelines, rich-media timelines, moviescrollers, scroll-scrubbed charts, staged narrative reveals, or interactive visual stories where scrolling changes a data visualization or media scene.

Customize macOS SwiftUI windows and scene behavior. Use when tuning window chrome, drag regions, placement, restoration, launch behavior, or borderless windows.

Build, run, and test SwiftPM macOS packages and executables. Use when the repo is package-first or has no Xcode project.