Use for analytics and data pipelines. Triggers: ETL, ELT, data quality, SQL optimization, schema drift, backfill, 데이터 파이프라인, 데이터 품질, 백필.
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Activates by change surface for data pipelines, analytics, SQL-heavy work, schema evolution, backfills, and reporting.
Production-grade data engineering patterns for building reliable data systems.
Before data work, read dev for classification, fast paths, rule authority, family invariants, verification, and safety; current/public evidence follows its Conditional Routes.
Use browser fetch/open/text/get-dom/snapshot only after candidate URLs exist and the claim needs browser-verifiable source evidence.
Do not activate for plain app CRUD SQL, OLTP query tuning, or transactional schema design. Route those to dev-backend/references/stacks/database.md. This skill owns analytics, ETL/ELT, pipelines, data quality, and reporting.
| Condition | Reference |
|---|---|
| Every data task; ingestion, incremental loading, ETL/ELT, dbt, retries, or orchestration | Principles and pipelines |
| Quality checks, data contracts, schema changes/backfills, review, or delivery | Quality and evolution (DATA-MIGRATION-01, DATA-REVIEW-01) |
| Analysis/reporting, batch/streaming, storage, or engine selection | Analysis and engines, streaming, tools |
| ML training, experiments, feature stores, or data versioning | ML pipelines |
| PII, retention, masking, or governance | Governance, implementation patterns; cxc-dev-security for policy |
| Analytical SQL/query execution safety, pipeline APIs, observability, or consumers | Queries and companions |
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Use for AST search and codemods. Triggers: ast-grep, sg, function/call/class/import, empty catch, missing await, YAML rules.
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Use for coding, PR delivery, scaffolding and QA. Triggers: develop, fix, refactor, test, review, docs, browse, stacked PR, 개발, 수정, 검토, 스택 PR.
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Use for module boundaries and dependencies. Triggers: circular import, coupling, barrel, re-export, validation placement, 모듈 경계, 순환 참조.
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Use for APIs, servers and app databases. Triggers: REST, GraphQL, migration, query optimization, middleware, caching, queues, 백엔드, API 작업, 마이그레이션, 쿼리 최적화.
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Use for code/PR/diff review and refactor audits. Triggers: review this, before merge, antipattern, 리뷰, 코드 리뷰, 머지 전에 확인.
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Use for debugging and system comprehension. Triggers: debug this, root cause, how does X work, reverse engineer, 왜 안 돼, 디버깅, 원인 분석, 로직 파악, 뜯어봐.
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