browser-probe

Expert guidance for architecting and troubleshooting Adobe Workfront Planning (WFP, aka "Maestro"): workspace and record-type design, record connections and hierarchies, formula fields, object and connection limits across Select/Prime/Ultimate tiers, the Planning API (filtering, bulk actions, workspace builds, API v2), Fusion, AI Assistant, CX Enterprise Coworker, GenStudio, Canvas Dashboards, views, access, licensing (incl. standalone Planning), permissions, business rules, and request forms. Use this skill whenever the user asks about Workfront Planning or Maestro: designing or building a workspace, connecting record types, fixing a broken formula, hitting or raising a limit (such as the 500 connected-records or 25,000 records-per-type caps), tier and capacity questions, filtering records through the API, choosing an automation surface, or reconciling public docs with actual API behavior. Also trigger for "build me a Planning workspace", "why is my formula failing", or "Select vs Prime vs Ultimate limits".

Review an exported Adobe Workfront Planning + Fusion scenario blueprint (.json) for performance, speed, resource use, and API call volume, and produce a prioritized optimization self-review. Use this whenever someone shares a Fusion scenario that uses Workfront Planning (Maestro) and wants it faster, cheaper, or more reliable: slow runs, long execution time, scenario timeouts, high operations consumption, too many API calls, or rate-limit / 429 errors, especially when it works in test but breaks under load or at scale. Trigger for phrases like "make my Fusion scenario faster", "why is this Planning scenario so slow", "reduce operations or API calls", "our replication or sync scenario times out", or "review this blueprint". It is specific to the Workfront Planning connector: if a scenario does not use Planning, it says so and does not apply. Read-only; it does not modify the blueprint.

Discover and collect all URLs of a website with the web CLI: parses robots.txt and sitemaps (XML, sitemap indexes, gzip) or follows links, with include/exclude glob patterns, a URL limit and language detection from the URL path. Triggers on: site urls, list pages, discover urls, site inventory, url collection, find all pages, site-scan, website urls, enumerate pages, map site, how many pages.

Captures the rendered layout of a webpage as a spatial tree of elements, with positions, sizes, grid layouts, backgrounds, and overlay occlusion, via the web CLI. Returns indented text, a JSON tree, and a map from node IDs to CSS selectors. Use before page decomposition, overlay detection, or brand extraction, or when the user asks for a page's visual hierarchy or layout.

Reduces a webpage to a structural skeleton. The web CLI detects sections and replaces content with semantic tokens (text, headings, images, CTAs, links, inputs), then the agent collapses repeated patterns and decorative wrappers and writes skeleton.html and manifest.json. Use when migrating a page to AEM Edge Delivery Services, extracting a page blueprint, or analyzing page structure for block generation.

Detects and removes overlays that block a webpage (cookie and GDPR consent banners, modals, newsletter popups, paywalls, login walls) with the web CLI, using Consent-O-Matic rules for known consent platforms plus DOM heuristics. Use before screenshotting, scraping, or automating a page that shows or may show such overlays, or when the user asks to dismiss cookie banners or popups.

Detects the languages on a webpage, both declared in markup (html lang, hreflang links, nested lang attributes, Content-Language meta) and present in the body text (Google CLD3), and reports where the two disagree. Use for i18n audits, hreflang validation, multilingual page checks, or when asked what language a page is in.

Extracts structured resources from a webpage with the web CLI: icons (SVGs classified as icon or logo and optimized for AEM Edge Delivery Services /icons/), metadata and Open Graph tags, body text, forms, videos, and social links. Use when migrating pages to Edge Delivery Services, auditing a site, or extracting a page's icons, metadata, or other assets.

The HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from build or render failures.

Generate an interactive bash wizard that walks a human through steps only they can perform. Use when provisioning infrastructure, setting up credentials or CI secrets, walking an unfamiliar third-party dashboard, or running a one-off migration or cutover. Don't invoke this for steps the agent can perform itself.

This skill should be used when the user wants to "deploy an agent", "deploy my ADK agent", "set up CI/CD", "configure secrets", "troubleshoot a deployment", or needs guidance on Agent Runtime, Cloud Run, or GKE deployment targets, or binding an agent to an Agent Gateway. Covers deployment workflows, service accounts, rollback, and production infrastructure. Applies to any framework agents-cli deploys (ADK, LangChain, ...). Part of the agents-cli skills suite. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), evaluation (use google-agents-cli-eval), or project scaffolding (use google-agents-cli-scaffold).

This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the agents-cli skills suite. Covers `agents-cli scaffold create`, `scaffold enhance`, and `scaffold upgrade` commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (ADK projects: use google-agents-cli-adk-code) or deployment operations (use google-agents-cli-deploy).

This skill should be used when the user wants to "set up tracing", "monitor my agent", "configure logging", "add observability", "debug production traffic", or needs guidance on monitoring deployed agents, including ADK (Agent Development Kit) agents. Covers Cloud Trace, prompt-response logging, BigQuery Agent Analytics, third-party integrations (AgentOps, Phoenix, MLflow, etc.), and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment setup (use google-agents-cli-deploy) or API code patterns (use google-agents-cli-adk-code).

Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".

Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. "deploy to vercel", "set up vercel", "add environment variables to vercel".

Use for Vercel cost and performance optimization on deployed projects, especially Next.js, SvelteKit, Nuxt, and limited Astro apps. Collect Vercel metrics, usage, project config, and code scan results first; investigate only metric-backed candidates; produce ranked recommendations grounded in verified files and version-aware Vercel/framework docs. Trigger for Vercel bill reduction, slow or expensive routes, caching opportunities, Function Invocations, Build Minutes, Fast Data Transfer, Core Web Vitals, Bot Management, Fluid compute, or cost breakdown requests.