Data Connector Skill
Query Patterns
SQL-based Sources
Write dialect-appropriate SQL. Check schema first, validate results after.
API-based Sources
Use MCP tools to query. Handle pagination and rate limits.
File-based Sources
Read CSV/Excel/JSON files and analyze with pandas or similar.
Validation Checklist
- •Row count sanity
- •Null check
- •Value range check
- •Aggregation logic
Trace Awareness
When previous TRACE.md or FILTER.md files exist for this data source:
- •Read the Attention Log — know what schema areas were already explored
- •Read the Confidence Map — know where schema understanding is weak
- •Read the Surplus Value — know what data patterns emerged last time
- •Read the Filter — skip known-noise areas, prioritize signal areas
References
- •See
references/schema-guide.mdfor schema exploration patterns