Results for “camera-onboarding”

Provides procedural guidance and standard patterns for building Android camera applications with CameraX, including Camera2Interop, Media3 integrations, and handling hardware diversity.

Capture snapshots, clips, or motion events from RTSP/ONVIF cameras using the camsnap CLI.

Capture frames or clips from RTSP/ONVIF cameras.

Capture frames or clips from RTSP/ONVIF cameras.

Capture frames or clips from RTSP/ONVIF cameras.

Capture frames or clips from RTSP/ONVIF cameras.

Capture frames or clips from RTSP/ONVIF cameras.

Onboard a new small-business owner — connect their first two tools, run one recipe, interview them, store context, and set a weekly check-in.

Generates a three-screen mobile onboarding flow with splash, value proposition, and sign-in screens displayed side by side.

ade-ops setup — START HERE on a fresh clone. Scenario-aware onboarding for Databricks with Power BI and/or Microsoft Fabric.

Capture frames or clips from RTSP/ONVIF cameras.

Use /onboard for a focused Cursor onboarding flow that learns basic preferences, picks a first goal, and routes the user to the right next action.

Capture frames or clips from RTSP/ONVIF cameras.

Connect to and acquire images from cameras in MATLAB using Image Acquisition Toolbox. Use this skill when the user wants to: use a webcam, acquire images, capture video, stream from a camera, connect to a GigE Vision camera, preview live video, list available cameras, configure camera properties, use a CoaXPress frame grabber, or use a Camera Link frame grabber. Covers USB webcams, GigE Vision, USB3 Vision, CoaXPress, Camera Link, and GenICam-compliant cameras. Always prefer videoinput from Image Acquisition Toolbox over webcam support package or gigecam.

Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI.

Guides users through an interactive tour of the context-matic MCP server, explaining its purpose and demonstrating all available APIs with live tool calls.

Onboard

Optimize post-signup onboarding and activation to turn signups into active users.

Score the experience a new customer actually has, not just whether they activated. Grades the first 90 days on the moments that make someone feel taken care of, finds where the welcome goes cold, and hands back a scored audit with the specific fixes. Built for any post-sale team, customizable to your product and lifecycle. Trigger on "audit my onboarding", "score our onboarding experience", "why do new customers churn early", "grade our first 90 days", "where does onboarding go cold", "is our welcome any good", or any onboarding-quality question.

Onboarding and activation optimization for Nick's products. Use when improving first-run experience, reducing drop-off, guiding users to value faster, or cleaning up empty states, setup friction, and early confusion.

Captures snapshots, clips, and motion events from configured IP cameras using the camsnap CLI.

First-time onboarding — asks where you are, then guides you to the right workflow. No assumptions.

Read BEFORE troubleshooting or enhancing camera image quality. Diagnoses and enhances image quality from cameras connected via Image Acquisition Toolbox or USB Webcams support package. Discovers camera capabilities at runtime, analyzes captured images for quality issues (brightness, contrast, sharpness, noise, color balance, backlighting), suggests hardware setting adjustments tailored to the specific camera, and applies Image Processing Toolbox enhancement functions. Use when a user wants to improve camera image quality, troubleshoot dark/blurry/noisy/grainy/ overexposed/washed out/color cast images, or optimize camera settings.

Optimize post-signup onboarding, user activation, first-run experience, and time-to-value with actionable audits and flow designs.

Optimize post-signup onboarding, user activation, first-run experience, and time-to-value with structured audits, flow design, and measurement plans.

Design and improve product user onboarding (first-time user experience) to drive activation and early retention. Produces an Onboarding & Activation Pack (aha moment spec, first 30 seconds + first mile plan, onboarding journey map, experiment backlog, measurement plan). Use for Growth teams.

Designs and improves onboarding flows, empty states, and first-run experiences to help users reach value quickly. Use when the user mentions onboarding, first-time users, empty states, activation, getting started, or new user flows.

Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.

Turns a single talking-head video into a video-to-video prompt with kinetic supers and rapid camera whips, preserving the original footage.

Turn "is this new customer going to stick?" into a first-90-day diagnostic. Day-30 / 60 / 90 activation tracking, a sales-to-success handoff quality score, champion engagement during the onboarding window, time-to-value milestone hit rate, and an early false-negative catch on customers already adopting. Built for CS leaders and CSMs, customizable to your CRM and your product-analytics tool. Trigger on "how's {account} onboarding going?", "first 90 day check on {customer}", "is {account} activating?", "time-to-value on {customer}", "handoff quality", "who's at risk in first 90 days?", or any first-90-day adoption question.

Analyze a codebase and generate onboarding documentation for engineers, tech leads, and contractors, with fast fact-gathering and repeatable outputs.

Pose-conditioned generation on RunComfy via the `runcomfy` CLI. Routes across Kling 2-6 Motion Control Pro / Standard (transfer the motion / blocking of a reference video onto a target character), community Wan 2-2 Animate (audio-driven character animation with pose conditioning), and Z-Image Turbo ControlNet LoRA (pose-conditioned image generation from an OpenPose / DWPose / canny / depth control image). Picks the right route based on video vs still and stylized vs photoreal. Triggers on "controlnet", "control net", "pose control", "openpose", "DWPose", "transfer pose", "motion control", "pose driven", "character pose", "depth control", "canny edge", "use this pose", or any explicit ask to condition generation on a pose / skeleton / motion / depth / canny reference.

Use this skill for pricing pages, onboarding, activation flows, plan comparison, product-led growth UX. Trigger when the task involves ui/ux work related to Pricing Onboarding UX, production implementation, audits, debugging, strategy, or validation.

Generate professional product images for e-commerce, including hero shots, packshots, lifestyle scenes, and detail close-ups using AI via the inference.sh CLI.

Generates a comprehensive developer onboarding guide from a codebase, covering tech stack, setup, architecture, conventions, and troubleshooting.