parse-organogram

What problem does it solve?

Manually extracting hierarchical organizational structure and personnel assignment data from Dutch ministerial organograms is time-consuming, error-prone, and inconsistent, especially when sources are published as PDF images or inline HTML text without standardized formatting.

Core Features & Use Cases

• Dual Input Support: Process both vision-based PDF/PNG organogram images and text-based inline HTML from ABD manifests, covering all common publication formats for Dutch government organograms.
• Structured Data Extraction: Generate proposals for both parent-child organizational unit hierarchies (e.g., ministry → DG → Directie → Afdeling) and person-to-post assignments, with confidence scores and evidence citations for every entry.
• Domain-Specific Validation: Enforce strict Dutch ministerial hierarchy rules, automatically filter out red AVG support roles (policy staff, communicators, jurists), and cap confidence scores for personnel extractions to account for error-prone initialen parsing.
• Use Case: A public administration analyst building the Polder Dutch government dataset can use this skill to quickly convert a ministry's published organogram into standardized, review-ready proposals without manual data entry.

Quick Start

Use the parse-organogram skill to process the attached 2026 BZK organogram PDF and output the structured organizational hierarchy and personnel assignment proposals.