Extract and query ministerial roles from GOV.UK content via SPARQL.
npx skills add https://github.com/danbri/forgetmenot --skill govuk-orgchart
Please help me install this Agent Skill. Skill: govuk-orgchart Source: https://github.com/danbri/forgetmenot/tree/main/skills/govuk-orgchart Command: npx skills add https://github.com/danbri/forgetmenot --skill govuk-orgchart
This skill solves the difficulty of tracking complex, shifting ministerial roles and government organizational structures by providing a queryable, local knowledge graph of GOV.UK data.
Use the govuk-orgchart skill to query the current holder of the Chancellor of the Exchequer role using the bundled SPARQL script.
High-intent search queries and answers about installing and using this skill.
You can query UK government ministerial roles by using a local RDF knowledge graph built from GOV.UK data. The skill parses N-Quads files and executes SPARQL queries via the rdflib Python library to extract current and historical office holders.
Finding historical ministerial office holders is done by querying a structured knowledge graph of GOV.UK content. It supports complex relational lookups across government departments and historical appointments without manual web browsing.
You can cross-reference GOV.UK ministerial data by performing cross-corpus joins with Wikidata identifiers and the Parliament Members API. This allows you to track politicians across different organizational systems.
The skill requires Python with the rdflib dependency installed to function. It relies on rdflib for local N-Quads parsing and SPARQL execution to build and query the government organizational knowledge graph.
Mapping reporting lines within a government department is achieved by executing SPARQL queries against a local RDF graph. This extracts organizational structures and hierarchical relationships directly from GOV.UK content.
The primary limitation is the dependency on local N-Quads parsing and SPARQL execution via rdflib. Users must be familiar with SPARQL query syntax and ensure their Python environment is properly configured.
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