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Diagnose and improve website quality using Lighthouse and Core Web Vitals.
The materials indicate a prompt-only, open-source skill with no declared secrets or remote endpoints, so the overall risk is low. Documentation is sparse and the README is absent here, so it should be treated as a documentation/prompt asset and its actual behavior should still be verified during integration.
The materials explicitly state that no keys or environment variables are required; as a prompt-only skill, there is no visible design for collecting, storing, or forwarding credentials, so credential abuse exposure appears low.
No remote endpoints are declared, and it is classified as prompt-only; there is no factual indication that user data is sent to external services.
Based on the objective check that it is prompt-only, there is no indication that it launches local processes, executes scripts, or invokes system capabilities.
The materials do not declare access to the filesystem, databases, browsers, or other resources; as a prompt-style skill, there is no described capability to read or write local or remote data.
The source is an open-source GitHub repository under MIT license with about 2.2k stars, providing meaningful community adoption and auditability that lowers supply-chain risk; however, the README is absent here and maintenance status is unknown, so this assessment relies on the available metadata.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "web-quality-skills" yet — see the docs or source repo.
Based on this website's Lighthouse report, analyze the main issues in performance, accessibility, best practices, and SEO, then provide prioritized fixes by impact.
A prioritized issue list with actionable optimization recommendations.
Using the current page's LCP, CLS, and INP metrics, identify the causes of poor Core Web Vitals and suggest frontend and resource-loading optimizations.
Cause analysis for LCP, CLS, and INP, plus code-level and loading optimization suggestions.
Create a two-week website quality improvement plan based on Lighthouse results, including daily tasks, suggested owners, and expected metric improvement goals.
A phased web quality improvement plan that teams can execute and track.
Find curated QA skills for AI coding agents and testing workflows.
Build, debug, and validate features in web app frontends.
Run agentic SEO analysis to uncover ranking, content, and optimization opportunities.
Generate reusable AI agent skills and draft configs from website documentation.
Find Qwoted backlink opportunities, build linkable stats pages, and pitch journalists.
Build web interfaces that work well for both AI agents and humans.