Claude Code 플러그인
공개 Claude Code 마켓플레이스의 플러그인 8개입니다. 각 플러그인은 함께 설치되는 스킬, 슬래시 명령, 에이전트, 훅 또는 MCP 서버를 묶습니다.
필터와 일치하는 8개의 플러그인을 표시합니다. 필터 초기화
Twelve EDBT-specific skills for the European Extending Database Technology conference, its multiple-cycle rolling submission model, and its OpenProceedings.org open-access publication path, grounded in the EDBT/ICDT 2026 Tampere calls, the EDBT 2027 cycle deadlines, OpenProceedings.org, and dblp.
academicTwelve ICDT-specific skills for the International Conference on Database Theory, its EDBT co-location, and its open-access LIPIcs publication model, grounded in the ICDT 2026/2027 databasetheory.org calls, the EDBT/ICDT 2026 and 2027 sites, DROPS/Schloss Dagstuhl, and dblp.
academic
Analytics-engineering skills: dbt Model Spec, Data Contract, Metric Semantic Layer, Experiment Readout (with a stdlib significance calculator), SQL Optimizer, and Data Quality Checks.
Snowflake SQL, data pipelines (Dynamic Tables, Streams+Tasks), Cortex AI functions, Snowpark Python, and dbt integration. Includes query helper script, reference guides, and troubleshooting.
Analytics engineering, dbt patterns, BigQuery optimization, data quality, and pipeline workflows.
developer tools
Data quality testing for analytical pipelines: dbt tests, Great Expectations, Soda checks, data contracts, and a go / no-go release gate. Extracts data contracts from data-product specs and covers tool choice and severity conventions. Agents (schema-diff-reviewer, data-anomaly-triager) review schema diffs for breaking changes and classify failed checks by anomaly type and likely owner.
quality-engineering
Design and operate data infrastructure — database operations (vector, relational, graph, time-series), ETL/ELT pipeline design (dbt patterns, incremental loading), SQL analytical patterns, data quality monitoring, schema migration, and storage infrastructure management, including model-assisted transformation contracts, deterministic acceptance, bounded retries, and sink reconciliation. Do not use for statistical analysis or ML model development.
