8 plugins from public Claude Code marketplaces. Each one bundles skills, slash commands, agents, hooks or MCP servers that install together.
testland-qatestland/qa1
magnus-agent-skillsmagnus919/agent-skills1Submit the repo with .claude-plugin/marketplace.json and we list every plugin.
Submit marketplaceTwelve 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.
academicAnalytics-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 toolsData 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-engineeringDesign 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.
