Cognitive Load Analyzer
PramodDutta/qaskillsEvaluate interface complexity by measuring information density, decision points, visual hierarchy, and task completion paths to reduce user cognitive burden.
At a glance
This skill is for Design and helps you evaluate interface complexity, measure information density, and assess visual hierarchy.
/plugin marketplace add PramodDutta/qaskills
/plugin install cognitive-load-analyzer
Setup, runtime and requirements describe PramodDutta/qaskills, the repo this skill ships in.
uxUsabilityInterface DesignUser Experiencecognitive-scienceaccessibility
Also in PramodDutta/qaskills
View the repoValidating A/B test implementations including traffic splitting accuracy, statistical significance calculation, metric tracking, and experim...
Comprehensive WCAG compliance and accessibility testing covering ARIA, keyboard navigation, screen readers, color contrast, and automated a1...
Comprehensive WCAG 2.1 AA compliance testing combining automated axe-core scans with manual keyboard navigation, screen reader compatibility...
Teach agents to guide manual accessibility audits for keyboard, screen reader, zoom, reflow, focus, and WCAG 2.2 criteria that scanners miss...
Advanced Allure test reporting with custom categories, environment info, test history trends, flaky test detection, and CI/CD dashboard inte...
Advanced chaos engineering patterns using Chaos Monkey, Litmus, and Gremlin for testing distributed system resilience under failure conditio...
American Fuzzy Lop Plus Plus mutation-based fuzz testing for finding crashes, hangs, and security vulnerabilities in binary programs.
Fast Rust-based headless browser automation CLI with Node.js fallback for AI agents, featuring navigation, clicking, typing, snapshots, and...
AI-first testing methodology where autonomous agents plan, generate, execute, and maintain test suites with minimal human intervention, cove...
Comprehensive evaluation patterns for AI agents including multi-turn conversation testing, LLM-as-judge frameworks, benchmark suites, regres...
Testing machine learning models including accuracy validation, bias detection, drift monitoring, A/B testing, and model regression testing.
Analyze a git diff, map affected risks, select the tests that matter, detect coverage gaps on changed lines, run configurable quality gates,...
Other Design skills
Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typog...
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art...
Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right,...
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explor...
A hand-drawn wireframe exploration — graph-paper background, marker / pencil tone, multiple tab labels for variants, sticky-note annotations...
An annotated / redline lo-fi wireframe — a desktop landing/marketing page drawn as flat greyboxes inside a browser chrome frame, overlaid wi...