Skill UI

A comprehensive pre-production audit tool that scans a codebase for critical issues across eight dimensions: security, database, deployment, code quality, AI/LLM usage, dependencies, frontend, and observability. It intercepts deployment commands, forcing users to resolve critical failures before shipping code. The audit is stack-agnostic and provides detailed pass/fail/manual reports.

A full-featured tool for comprehensive SEO site auditing. It supports full-site crawling, mapping site structure (URL discovery), and deep scraping of JavaScript-rendered content. Ideal for technical SEO audits, content inventory, and identifying link gaps.

Diagnoses full-stack failure modes in agent and LLM applications, including wrapper regressions, memory contamination, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings and code-first fixes for production agent systems.

Use this skill to deeply inspect and audit the entire process of local AI coding-agent sessions. It tracks critical operational metrics such as token consumption, cost spikes, tool failures, latency anomalies, and overall health scores. Ideal for debugging unreliable code runs, establishing CI/CD health gates, or comparing different attempts to ensure semantic accuracy.

This skill simulates a Data Protection Officer (DPO) audit, pressure-testing privacy compliance across six critical, Article-cited GDPR areas. It is essential for pre-annual audits, post-breach assessments, DPA investigations, and M&A due diligence, ensuring readiness across RoPA, lawful basis, DPIA, DSAR, and international data transfers.

This skill provides a comprehensive audit of GitHub Actions workflows. It inspects CI configurations to identify bottlenecks, waste sources, and areas for optimization, helping users reduce runtime, lower costs, and boost overall CI/CD efficiency. It covers caching, concurrency, and trigger reduction.

This skill provides a comprehensive framework for auditing and improving the efficiency of GitHub Codespaces environments. It helps users identify waste sources like oversized devcontainers, inefficient machine types, and poorly scoped prebuilds. By following a structured workflow, users can reduce monthly cloud spending, drastically cut startup times, and maintain optimal development throughput.

Meta-Apply serves as the mandatory, privileged landing gate for all self-modification patches within the skill corpus. It strictly separates the 'proposal' (read-only staging) from the 'landing' (mutation). This skill requires explicit human invocation and runs a fresh, cross-model jury audit at the time of application, ensuring that no staged patch can be applied without passing stringent, real-time security and functional checks. It acts as the final, audited authority for updating the core system skills.

A comprehensive guide for optimizing SEO indexing and managing crawl budget specifically for Next.js applications. Covers fixing Google Search Console coverage errors, implementing proper canonical tags, auditing sitemaps, managing static rendering, and optimizing internal linking for maximum search visibility.

Comprehensive tool for finding and fixing WCAG 2.2 accessibility violations across codebases or live web pages. Operates in two modes: Report mode generates a prioritized, detailed, non-editing audit report (ideal for code reviews), while Fix mode performs an audit-edit-verify loop directly on the target to apply necessary fixes.

This skill diffs a live web page's accessibility violations against a specified baseline. It can compare changes against uncommitted local stashes or a specific Git branch. The report focuses exclusively on changes, highlighting new violations introduced, violations that have been fixed, and the count of pre-existing issues. Ideal for CI/CD pipelines and development auditing.

This skill audits a live web page against WCAG standards. It precisely locates accessibility violations, providing a detailed, selector-grounded worklist of necessary fixes without making any changes to the code. Ideal for QA engineers and developers needing a comprehensive, non-destructive report of broken accessibility elements.