Results for “edge-detection”

Migrate Jetpack Compose apps to support edge-to-edge displays, fix UI components obscured by system bars, and handle IME insets.

Analyze scraped webpage content to identify section boundaries and content sequences for AEM Edge Delivery Services import.

Use when designing solutions to identify and test boundary conditions, unusual inputs, and uncommon scenarios that could cause failures. This skill provides a systematic approach to finding edge cases before they become bugs in production.

Detect and extract hidden data embedded in images, audio, and other media files using steganalysis tools to uncover covert communication channels.

Skill for the Observability area of paddock. 105 symbols across 26 files.

Analyzes development cycle and quality metrics to identify recurring issues, then generates additive patches to skill instructions to prevent them.

Identify error-prone APIs and dangerous configurations

This skill provides guidance for video analysis and processing tasks using computer vision techniques. It should be used when analyzing video frames, detecting motion or events, tracking objects, extracting temporal data (e.g., identifying specific frames like takeoff/landing moments), or performing frame-by-frame processing with OpenCV or similar libraries.

Mine winning ad angles, hooks, and creative patterns from top-performing ads

Use this skill to migrate your Jetpack Compose app to add adaptive edge-to-edge support and troubleshoot common issues. Use this skill to fix UI components (like buttons or lists) that are obscured by or overlapping with the navigation bar or status bar, fix IME insets, and fix system bar legibility.

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Analyze and improve the internal link structure of an AEM Edge Delivery Services site by building a link graph from the query index and page content, identifying orphan pages, hub pages, and content silos, and generating specific linking recommendations with suggested anchor text and placement.

Analyze content sequences within a single section of a page for AEM Edge Delivery Services, providing neutral descriptions without assigning block names.

Rewrites AEM Edge Delivery Services page content for AI search discoverability (Generative Engine Optimization) by analyzing structure, clarity, and factual density.

Generates comprehensive unit tests with edge cases, error paths, and boundary values. Auto-detects the test framework, scans for untested functions, adopts existing conventions, runs tests, and self-heals failures in up to 3 iterations while measuring coverage.

Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.

Detect when backtest iteration has stalled and generate structurally different strategy pivot proposals to break out of local optima.

Strengthen interfaces against edge cases, errors, internationalization issues, and real-world usage scenarios that break idealized designs.

GLIP: Grounded Language-Image Pre-training

Implements face detection and recognition with privacy-preserving features and bias mitigation

SynthText: Synthetic Data for Text Detection