GoodParty.org
Official@thegoodparty · Los Angeles
We're not a political party – we're building a movement and free tech to end America's two-party political dysfunction
Agent Skills by GoodParty.org
Showing 6 vetted skills indexed across 1 GitHub repositories.
thegoodpartyddhq-miss-audit
Classify unmatched gp_api campaigns against DDHQ election results using SQL and web verification.
thegoodpartywin-analytics-knowledge
Resolve Win-product data concepts to governed metrics, tables, columns, and definitions.
thegoodpartydata-matching
Match external tables to ICP flags in Databricks using email, race ID, or position ID join paths.
thegoodpartyl2-uniform-drift-remediator
Parse preflight logs and generate dbt commands for L2 uniform schema drift.
thegoodpartywin-analytics-process
Orchestrate Win-product analysis workflows from question framing to calibration.
thegoodpartyaudit-er-results
Analyze entity resolution match results for coverage, false positives, and false negatives.
Frequently Asked Questions About GoodParty.org
FAQPage SchemaWhat specific data tasks does GoodParty.org support?▼
GoodParty.org enables the classification of campaign records against election results, the resolution of product-specific data concepts to governed metrics, and the auditing of entity resolution match results. These capabilities ensure data integrity across electoral datasets and campaign analytics platforms.
Who is the target persona for these data engineering skills?▼
These skills are designed for data engineers, electoral analysts, and database administrators working within political technology or civic-tech environments. The technical focus is on maintaining data consistency, managing schema drift, and performing rigorous audits on large-scale electoral datasets.
What are the technical prerequisites for implementing these data processes?▼
Implementation requires access to Databricks environments, familiarity with dbt for schema management, and proficiency in SQL for data verification. Users must also have established join paths based on email, race ID, or position ID to effectively utilize the entity resolution and matching functions.