AbeJitsu

Poor requirements lead to poor outputs. This skill checks user input for completeness, clarity, and standards alignment before work begins. It acts as the first gate in a quality pipeline.

This skill provides final validation that deliverables meet all quality standards. It evaluates across 6 dimensions and produces a quality score with actionable recommendations. Ensures nothing goes to users without meeting your standards.

Manual quality review takes hours and risks missing critical validation issues. This skill aggregates all validation results, calculates comprehensive quality metrics, and produces deployment-ready reports automatically.

Extract detailed text and visual data from PDF pages. This skill captures font metadata, text positions, and rendered images to enable accurate AI-driven HTML generation workflows.

AI-generated HTML often contains structural errors that cause rendering issues. This quality gate validates HTML5 compliance, tag closure, and required elements before the pipeline continues.

Transform validated requirements into production-ready code, documentation, tests, and content. The skill automatically applies your project standards and patterns to ensure consistency across all deliverables.

AI-generated code and documentation often has inconsistent formatting that looks unprofessional. This skill enforces uniform style rules, naming conventions, and formatting standards to make any deliverable production-ready.

Writing clear commit messages is challenging. This skill analyzes your staged git changes and creates descriptive commit messages that explain what changed and why it matters.

Users need to visualize PDF page structure before HTML conversion. This skill uses AI to analyze PDF images and extracted text data, then generate readable ASCII representations showing headings, paragraphs, lists, and tables.

Manually comparing generated HTML to PDF source is slow and error-prone. This AI-powered skill provides automated visual validation with contextual understanding, scoring layout, hierarchy, and typography to ensure quality before deployment.

Manually converting PDF pages to semantic HTML is time-consuming and error-prone. This skill uses AI to automatically generate semantic HTML5 from PDF pages with three sources of context for high accuracy.

Split chapter pages create fragmented reading experiences and inconsistent formatting. This skill uses AI to intelligently merge individual HTML page files into seamless continuous chapters. It removes duplicate headers, normalizes heading hierarchy, and preserves all semantic structure for a unified document.