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Databases · By ancoleman
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Vector database implementation for AI/ML applications, semantic search, and RAG systems. | ancoleman/ | 525 | — | ~3.5k | Automated safety check: Pass | MIT | 10 mo ago |
| 2 | Document database implementation for flexible schema applications. | ancoleman/ | 525 | — | ~2.1k | Automated safety check: Pass | MIT | 10 mo ago |
| 3 | Graph database implementation for relationship-heavy data models. | ancoleman/ | 525 | — | ~3.2k | Automated safety check: Pass | MIT | 10 mo ago |
| 4 | Relational database implementation across Python, Rust, Go, and TypeScript. | ancoleman/ | 525 | — | ~2.5k | Automated safety check: Pass | MIT | 10 mo ago |
| 5 | Time-series database implementation for metrics, IoT, financial data, and observability backends. | ancoleman/ | 525 | — | ~1.7k | Automated safety check: Pass | MIT | 10 mo ago |
| 6 | Strategic guidance for designing modern data platforms, covering storage paradigms (data lake, warehouse, lakehouse), modeling approaches (dimensional, normalized, data vault, wide tables), data… | ancoleman/ | 525 | — | ~3.6k | Automated safety check: Pass | MIT | 10 mo ago |
| 7 | Implement applications using Google Cloud Platform (GCP) services. | ancoleman/ | 525 | — | ~3.9k | Automated safety check: Pass | MIT | 10 mo ago |
| 8 | Optimize SQL query performance through EXPLAIN analysis, indexing strategies, and query rewriting for PostgreSQL, MySQL, and SQL Server. | ancoleman/ | 525 | — | ~3k | Automated safety check: Pass | MIT | 10 mo ago |
