Map UK Bill identifiers across historical and modern legislative data sources.
npx skills add https://github.com/danbri/forgetmenot --skill skill-bill
Please help me install this Agent Skill. Skill: skill-bill Source: https://github.com/danbri/forgetmenot/tree/main/skills/skill-bill Command: npx skills add https://github.com/danbri/forgetmenot --skill skill-bill
This skill solves the fragmentation of UK legislative records by providing a unified method to reconcile Bills, Acts, and SIs across disparate sources like the Bills API, the Parliament Thesaurus, and historical Hansard.
Use the skill-bill to generate a crosswalk graph for the Elections Bill by reconciling its thesaurus LEG term with the live Bills API data.
High-intent search queries and answers about installing and using this skill.
Reconcile UK parliamentary bill identifiers by mapping Bill IDs across disparate historical and modern data sources to construct a bill-identity crosswalk graph linking Bills, Acts, and Hansard debate stages.
Build a complete legislative timeline by generating a crosswalk graph that links a Bill's initial proposal to its final Act status, integrating all relevant Hansard debate stages and parliamentary papers.
Fuzzy matching via Solr helps map pre-2015 UK legislation by indexing historical bills and failed legislation missing from modern structured datasets, bridging the gap between digital-era APIs and historical archives.
Use SPARQL queries to retrieve and map UK legislative records from the Parliament Thesaurus, integrating them with live Bills API data to create a comprehensive identity graph for legislation like the Elections Bill.
This approach requires deterministic ETL processes to bridge historical Hansard data with digital-era APIs, ensuring accurate reconciliation of legislative records across fragmented sources like the Bills API and Parliament Thesaurus.
Avoid using a crosswalk graph for UK legislative data reconciliation when dealing with isolated, single-source records that do not require mapping across disparate historical and modern data sources or linking multiple debate stages.
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