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Found 12,167 Skills
Design the structural anatomy of screens at wireframe fidelity — what goes where and why, before anyone argues about how it looks. Part of the Intent design strategy system. Produces lo-fi idea boards for divergent exploration, complete interactive grayscale wireframes with real labels and real hierarchy, and click-through prototypes that materialize flow logic from /journey. Trigger on: wireframe, wireframes, wireframing, thumbnails, "sketch the screen", "lay out this page", "what goes where on this screen", screen layout, page structure, lo-fi, mid-fi, click-through prototype, wireflow, "wireframe the dashboard", or any request to design the structure of a screen before its visual design. The flow through screens belongs to /journey; the information structure belongs to /organize; the words belong to /articulate — this skill owns the screen itself.
End-to-end testing and click-verification of web apps with Playwright — install, write specs, drive authenticated pages, take screenshots, and run in CI. Use when verifying a web change actually works in a real browser, testing user flows, debugging a UI bug live, or confirming an authed/gated page before shipping. Keywords Playwright, e2e, browser test, click test, screenshot, headless.
New SwiftUI APIs, behaviors, and deprecations introduced in the 2027 OS releases (iOS 27, macOS 27, watchOS 27, tvOS 27, visionOS 27). Use when a SwiftUI view using @State fails to compile with "used before being initialized", "invalid redeclaration of synthesized property", or "extraneous argument label" errors after an SDK update (@State migrated from a property wrapper to a macro in SDK 27; the obvious fix of reordering init assignments is WRONG and produces incorrect runtime behavior; you MUST consult this skill's references before answering); when @ViewBuilder or @ContentBuilder code hits ambiguous overloads in overlay/background or type-check performance regressions after an SDK update; when the user asks what's new in SwiftUI (generally, or for a specific 2027 platform); when adding drag-to-reorder to any container (List, LazyVStack, LazyVGrid, stacks, or custom layouts) via reorderable()/reorderContainer, including the drag-and-drop that integrates with it (dragContainer, dropDestination), or combining items by dropping one onto another; when working with AsyncImage loading and caching (images reloading when scrolling back, the default HTTP cache, a per-request cache policy via AsyncImage(request:)/URLRequest, or applying a custom URLSession with asyncImageURLSession); when adding swipe actions to rows (swipe-to-delete or other swipe actions) in a ScrollView, LazyVStack, LazyVGrid, or stack and not just List, via swipeActions()/swipeActionsContainer(); when working with toolbars, such as controlling which items stay visible versus move into the overflow menu when space is constrained or buttons get cut off (visibilityPriority, ToolbarOverflowMenu), pinning an item so it never overflows (topBarPinnedTrailing), minimizing the navigation bar or toolbar on scroll (toolbarMinimizeBehavior), generating toolbar items with ForEach, or hiding the status bar via the statusBar toolbar placement; when presenting a confirmation dialog or alert from an optional item binding (the sheet(item:) shape) so it shows when the bound value becomes non-nil and passes the unwrapped item into the actions and message closures; when building or migrating a document-based app (including read-only document viewers), reading or writing files through DocumentGroup, optimizing autosave performance for package documents, accessing the document's file URL directly (for example to hand to AVFoundation, PDFKit, Core Image, or any C library that takes a path), reporting progress from a save or load, or migrating from FileDocument / ReferenceFileDocument; or when resolving other SDK 27.0 source incompatibilities and deprecation warnings (for example statusBarHidden on visionOS).
Implement Terraform provider ephemeral resources with the Plugin Framework: the Open/Renew/Close lifecycle, ephemeral schema design, registration via EphemeralResources, renewal for expiring credentials, and how ephemeral values flow into write-only attributes and provider configuration. Use when adding an ephemeral resource, exposing secrets/tokens/certificates that must never persist in state or plan, deciding between an ephemeral resource and a data source, or wiring short-lived credentials from one provider into another.
Position an AI product when everyone claims AI and skeptics call it "just a wrapper." Find the real wedge (data, workflow, trust, domain), make reliability the differentiator, answer "won't the big labs just build this," and stop leading with "AI-powered." Use when your AI or dev tool blends into a sea of similar demos, buyers doubt the accuracy, or you can't say why you win when the model is a commodity.
When the user needs to design, write, or optimize email sequences -- including welcome series, nurture campaigns, re-engagement flows, onboarding emails, or newsletter strategy.
Speak as a specified character from their current knowledge, voice, and emotional state. Use for skill-only workflows that need in-character conversation, voice discovery, or relationship pressure tests.
Capture a spatial hierarchy of rendered DOM elements from any webpage. Injects a pre-built script via playwright-cli that walks the DOM, detects layout grids, extracts backgrounds, prunes invisible nodes, promotes elements rendered outside their DOM parent (overlays, fixed navs, modals), and tags overlay nodes with occlusion metadata. Returns three outputs: LLM-friendly indented text, structured JSON tree, and a nodeMap mapping positional IDs to CSS selectors with background and overlay data. Use before page decomposition, overlay detection, brand extraction, or any workflow that needs structured page analysis. Triggers on: visual tree, capture tree, page structure, page hierarchy, DOM tree, capture visual, page analysis, extract tree.
Reconcile a converted/built web page against its source prototype with two complementary probes — a PIXEL/layout diff (stretched images, dropped wraps, blank renders, colour flips) and a STRUCTURAL content+typography diff (dropped/mis-slotted headings, eyebrows, CTAs; rendered-face font forks). Stack-agnostic via profiles (eds | generic). Use after converting a prototype to EDS/AEM (the stardust:deploy Step 10), or for any prototype↔build fidelity check; invocable as stardust:diff and from workflows.
Embed screenshots, images, diagrams, GIFs, and screen recordings in GitHub PRs and issues — or stage them ahead of a PR, collect them into one attachments comment, or get a durable public link to share a visual with a person. Use this whenever a visual needs to end up in a PR description, issue body, or PR/issue comment, in front of a teammate, or saved for a PR that doesn't exist yet. Triggers include "attach a screenshot to the PR", "add a before/after to the issue", "include a screenshot of …", "share a GIF of the flow", "record the bug and put it in the issue", "get me a link I can paste in Slack", "stage screenshots for the PR", "attach this when I open the PR", "save this for the PR", "collect the PR's media", or having just captured or changed something visual that a shot would make clearer — even mid-task, before a PR exists. Also applies when an agent has no local filesystem and is uploading via the hosted MCP (agents.uploads.sh). Reach for this instead of drag-and-drop or github.com/user-attachments (agents can't upload there) and instead of hand-rolling cloud-storage uploads. Capture the visual with whatever browser or screenshot tooling you have; this skill covers hosting and embedding it.
Take one or many customer-interview files you already have and extract the AJTBD structure from them — segments by Core Jobs, personas, Consideration Set, existing Solutions and Problems, value hypotheses — using Ivan Zamesin's AJTBD / Next Move Theory methodology (distinct from generic Christensen JTBD). Input — a folder or list of files: deep-interview transcripts, interview notes, sales-call or demo transcripts, support/chat logs, survey open-ends. The interviews may be AJTBD or not, well- or poorly-conducted, one file or dozens. The skill first asks which business task you're solving (and helps you choose if you can't name one), then reads each interview in its own subagent (a fan-out so it never overflows context, no matter how many large transcripts), extracts the Core Jobs with an honest per-interview confidence (a clean extraction vs. a weak hypothesis), gives per- interview feedback (what was pulled, what's missing, whether this interview can even serve your business task), clusters the extractions into segments by similar Core Jobs + similar success criteria + similar priority order, and computes each segment's confidence from the supporting interviews' confidence. Output — one report: a data-quality summary, segments by Core Jobs with personas and confidence, structured existing Solutions and Problems, a Consideration Set per segment, value-creation hypotheses, and a gap list of what to interview next. Use when the user says "analyze my interviews", "extract jobs from these transcripts", "I have customer interviews — find the segments", "what jobs are in these calls", "synthesize my interviews", or has interview/transcript files and wants the methodology pulled out of them. The post-fieldwork counterpart to /nmt-interview-guide. Two modes — Quick (default, no internet) and Deep (subagents + web to enrich competitors and the Consideration Set). Plain language; defaults to English.
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.