JTBD Workflow for Topic Map Repos
Automates end-to-end Jobs-to-be-Done (JTBD) analysis and documentation restructuring for repositories using topic map configurations.
This skill provides a comprehensive 4-step workflow for transforming feature-based technical documentation into user-centric, JTBD-oriented content. It automates the extraction of user stories, generates proposed Tables of Contents, compares current structures against proposed taxonomies, and creates stakeholder-ready consolidation reports. Specifically designed for complex documentation environments like OpenShift, it handles AsciiDoc reduction, module provenance tracking, and batch processing across multiple books or distributions.
主要功能
01Automated generation of stakeholder reports with navigation metrics and gap analysis
02Domain-specific research integration via custom persona and schema YAML files
03Complete 4-step JTBD pipeline: Analyze, TOC, Compare, and Consolidate
04Support for multi-book batch processing and distribution-based filtering
05Deep AsciiDoc integration using asciidoctor-reducer for accurate content parsing
0615 GitHub stars
使用场景
01Generating evidence-based migration plans for information architecture updates
02Restructuring feature-heavy technical manuals into task-oriented user guides
03Auditing large documentation repositories for content gaps and workflow coverage