parse-abd-nieuws

Parse ABD news HTML into structured Polder Membership-proposal objects.

Updated May 9, 2026
One-click install
npx skills add https://github.com/anneschuth/polder --skill parse-abd-nieuws
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parse-abd-nieuws
Source: https://github.com/anneschuth/polder/tree/main/.claude/skills/parse-abd-nieuws
Command: npx skills add https://github.com/anneschuth/polder --skill parse-abd-nieuws

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dutch government appointment news from the Algemene Bestuursdienst (ABD) is published as unstructured HTML, making it slow and error-prone to manually extract structured data for open government datasets like Polder. This skill automates that parsing process to turn raw ABD news articles into ready-to-use structured records.

Core Features & Use Cases

  • Structured Proposal Generation: Parses ABD news HTML into Polder-compliant Membership-proposal objects with all required fields including person names, organizational hierarchies, role titles, dates and evidence snippets.
  • Multi-Event Type Support: Handles appointments, resignations, contract extensions and obituaries, with tailored logic for each event type including automatic mandate closure for obituaries.
  • Confidence Scoring: Assigns evidence-based confidence scores to each proposal based on explicit fact presence and external verification sources, with clear reasoning for review workflows.
  • Use Case: A Polder dataset maintainer can process a new ABD news article in seconds to generate a validated, merge-ready proposal instead of spending minutes on manual data entry and validation.

Quick Start

Use the parse-abd-nieuws skill to process the ABD news HTML file at _cache/abd-nieuws/2026-05-09-marleen-heijster.html and output the structured membership proposals.

Frequently Asked Questions about parse-abd-nieuws

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract structured appointment data from Dutch government ABD news HTML?

To extract structured appointment data from Dutch government ABD news HTML, this Skill parses unstructured articles into Polder-compliant Membership-proposal objects containing person names, role titles, organizational hierarchies, effective dates, and official Staatscourant references.

What is the best way to parse ABD news feeds for public sector appointments and resignations?

Parsing ABD news feeds for public sector appointments and resignations is best handled by converting the raw HTML into structured Polder dataset records with evidence-backed substring verification, confidence scoring, and tailored logic for appointments, resignations, contract extensions, and obituaries.

Can I automate mandate closure for obituaries when processing Dutch government news?

Yes, you can automate mandate closure for obituaries when processing Dutch government news, as this Skill applies tailored event-type logic that automatically closes mandates and generates validated membership proposals for Polder dataset maintenance workflows.

Does this HTML parsing approach generate evidence snippets for open government datasets?

Yes, this HTML parsing approach generates evidence snippets for open government datasets by extracting substring-verified evidence directly from ABD news articles and assigning confidence scores based on explicit fact presence for review workflows.

How do I convert Staatscourant references into Polder dataset membership proposals?

You can convert Staatscourant references into Polder dataset membership proposals by processing the ABD news HTML file, which the Skill maps into structured objects compliant with Polder's data model conventions for slugs, event types, and organizational chains.

What are the limitations of parsing ABD news articles for open government data?

A limitation of parsing ABD news articles for open government data is that the Skill is strictly specialized for Dutch General Administrative Service HTML and Polder-compliant schemas, meaning it may not generalize to other government news formats or alternative open dataset structures.