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joe-broadhead
GitHub 제작자 프로필

joe-broadhead

6개 GitHub 저장소에서 수집된 36개 skills를 저장소 단위로 보여줍니다.

수집된 skills
36
저장소
6
업데이트
2026-07-24
저장소 탐색

저장소와 대표 skills

이 저장소에서 수집된 skills 21개 중 상위 8개를 표시합니다.
eval-author
소프트웨어 품질 보증 분석가·테스터

Designs, debugs, and operationalizes dbt-nova eval suites for manifest metadata quality and agent tool-use quality. Use when creating bridge evals, provider-backed agent evals, CI eval gates, regression suites for Nova metadata, or when interpreting dbt-nova eval artifacts and failures.

2026-07-24
reviewer
소프트웨어 개발자

Adversarially reviews high-stakes dbt-nova analytics answer drafts for evidence quality, semantic-layer bypass, unsafe raw joins, stale or unknown freshness caveats, and provenance-backed fixes. Use before leadership-bound, launch-readiness, customer-facing, or recurring production answers.

2026-07-15
analyst
소프트웨어 개발자

Answers business questions with Nova using first-principles decomposition, canonical KPI discovery, explicit entity selection, validated filters, bounded execution, and evidence-first reporting. Use when resolving metrics, comparing performance, validating measures, or running recurring analytical workflows through Nova MCP or the dbt-nova CLI.

2026-07-12
governance
소프트웨어 개발자

Runs deterministic governance audits with Nova using frozen scope, repeatable scoring, explicit blocker extraction, and remediation planning. Use when enforcing metadata standards, testing and documentation gates, ownership and compliance requirements, and rerunnable audit evidence through MCP or the dbt-nova CLI.

2026-07-07
meta-authoring
소프트웨어 개발자

Builds and reviews high-signal `meta.nova` and curated domain references for dbt resources. Use when adding Nova metadata, choosing canonical datasets or indicators, defining model-bound measures or metric templates, annotating columns, de-ranking helper models, authoring domain reference docs, or improving Nova MCP search and metadata scores.

2026-07-07
model-architect
데이터베이스 아키텍트

Improves dbt project structure with Nova using first-principles architecture work: define the repeated business concept, scope candidate clusters, compare overlap, grain, semantics, lineage, and blast radius, choose canonical execution surfaces, and produce migration-safe refactor plans through Nova MCP or the dbt-nova CLI.

2026-07-07
project-cleanup
소프트웨어 개발자

Finds and plans structural cleanup in dbt projects with Nova using first-principles triage: freeze scope, detect overlap clusters, duplicate indicators, naming drift, and canonical conflicts, separate accidental duplication from legitimate specialization, quantify impact, and produce prioritized cleanup queues through Nova MCP or the dbt-nova CLI.

2026-07-07
bi-engineer
데이터 과학자

Designs dashboard-ready analytical products with Nova using first-principles BI engineering: start from the decision, audience, and consumer artifact; resolve canonical indicators; choose execution entities and grain; validate filters, comparisons, and bounded sample outputs; then produce dashboard specs, dataset contracts, metric cards, and viz QA handoffs through MCP or the dbt-nova CLI.

2026-06-27
이 저장소에서 수집된 skills 10개 중 상위 8개를 표시합니다.
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