Results for “spatial-quality”

Stitched Image Quality Control

Assesses image quality with blur detection, noise estimation, and aesthetic scoring

Analyze the spatial and structural qualities of a screen design, evaluating balance, whitespace, rhythm, and gestalt principles to identify compositional weaknesses and propose specific fixes.

Measures code quality, identifies code smells, and implements quality gates using static analysis and technical debt tracking.

用于审计Claude技能和命令的质量。支持快速扫描（仅变更技能）和全面盘点模式，采用顺序子代理批量评估。

Nocaps: Novel Object Captioning at Scale

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

Audits code quality against a shared contract, producing structured findings and blocking pipeline phases on critical issues without modifying code.

Improve layout, spacing, and visual rhythm. Fixes monotonous grids, inconsistent spacing, and weak visual hierarchy. Use when the user mentions layout feeling off, spacing issues, visual hierarchy, crowded UI, alignment problems, or wanting better composition.

SKILL — Brand Systems

Reviews cohesion, naming, responsibility, complexity, and maintainability. Do not use as a default companion to every code change.

Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.

Validates, tests, and scores the quality of skills within a claude-skills ecosystem using Python scripts that check structure, syntax, runtime, and multi-dimensional quality metrics.

Audits Claude skills and commands for quality, offering Quick Scan for changed skills and Full Stocktake modes with sequential subagent batch evaluation.

Create a consistent spacing system based on a base unit with contextual application rules for harmonious interfaces.

COCO: Microsoft COCO: Common Objects in Context

Validates data quality with completeness, consistency, accuracy checks and generates quality reports

Upscale and enhance image and video resolution using AI

Upscale and enhance image and video resolution using AI

融合分类系统与空间抽象能力，构建空间化的分类体系，支持空间相关的分类需求和空间关系分析。

Compute aerospace environment properties including atmosphere (ISA, COESA, NRLMSISE-00, non-standard, CIRA), gravity (spherical harmonic, WGS84, zonal, centrifugal), horizontal wind (HWM), magnetic field (WMM, IGRF), geoid height, geocentric radius, space weather data, planetary ephemeris, Earth orientation (polar motion, nutation, delta-UT1, CIP). Use when computing atmospheric density, temperature, pressure, gravity vectors, wind profiles, magnetic field components, geoid undulation, solar flux indices, planet positions, or Earth orientation parameters for aerospace vehicle analysis, spacecraft environment modeling, or navigation corrections.

Test quality inspection framework for reviewing test coverage, identifying gaps, and ensuring comprehensive validation

Copy-Paste Augmentation for Instance Segmentation

GLIP: Grounded Language-Image Pre-training

SynthText: Synthetic Data for Text Detection