run-workflow

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.

Configure this repo for the engineering skills: set up its issue tracker, triage label vocabulary, and domain doc layout. Run once before first use of the other engineering skills.

Teach the user a new skill or concept, within this workspace.

Ask which skill or flow fits your situation. A router over the skills in this repo.

Plan a huge chunk of work (more than one agent session can hold) as a shared map of decision tickets on your issue tracker, and resolve them one at a time until the way to the destination is clear.

Hand the current conversation off to a fresh background agent that picks up the work immediately.

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Use when starting any conversation - establishes how to find and use skills, requiring skill invocation before ANY response including clarifying questions

Use when executing implementation plans with independent tasks in the current session