ccc-datalisted

# ccc-data > Load ONE skill. Get the entire data domain. 8 skills in one. ## Sub-Skills | # | Skill | Focus | |---|-------|-------| | 1 | data-pipeline | ETL/ELT pipelines — Airflow, dbt, Dagster, incremental loads | | 2 | sql-optimization | SQL optimization — query analysis, indexes, execution plans | | 3 | data-visualization | Charts and dashboards — D3, Chart.js, Tremor, Recharts | | 4 | machine-learning | ML model development — scikit-learn, PyTorch, TensorFlow | | 5 | data-quality | Data validation, schema enforcement, quality monitoring | | 6 | analytics-setup | Analytics implementation — PostHog, Mixpanel, GA4 | | 7 | reporting | Automated report generation and scheduling | | 8 | vector-search | Vector database — Pinecone, pgvector, Qdrant with semantic search | ## Routing Matrix | Your Intent | Route To | |-------------|----------| | "Data pipeline" / "ETL" / "ELT" | `data-pipeline` | | "Slow queries" / "SQL optimization" | `sql-optimization` | | "Charts" / "Dashboard" / "Visualization" | `data-visualization` | | "ML model" / "Train a model" | `machine-learning` | | "Data quality" / "Validation" | `data-quality` | | "Analytics" / "Tracking events" | `analytics-setup` | | "Automated reports" | `reporting` | | "Semantic search" / "Vector search" / "Embeddings" | `vector-search` | ## Files API Integration For large datasets and data files, the Files API can ingest CSVs, JSON, Parquet, and other formats directly — avoiding token limits for bulk data analysis. Use `