| name | mongodb-reference |
| description | MongoDB query language reference tailored for Rossum. Covers find operators, regex patterns, aggregation pipeline stages, expression operators, Atlas Search ($search with fuzzy, compound, dynamic thresholds, embedded documents), $function, $lookup, $unionWith, practical matching patterns, data type handling, performance tips, and debugging. Use when writing or debugging MongoDB queries in any Rossum context (MDH matching, Data Storage, aggregation pipelines). |
| user-invocable | false |
MongoDB Query Reference
This skill provides a comprehensive MongoDB query language reference for use across Rossum — in Master Data Hub matching configurations, Data Storage API calls, or any context that uses MongoDB-style queries. For complete details, see reference.md.
Use this knowledge when:
- Writing MongoDB find queries or aggregation pipelines
- Using
$search with fuzzy matching, compound queries, or score filtering
- Using
$lookup, $unionWith, $function, or other advanced pipeline features
- Building regex patterns for data matching
- Understanding MongoDB operators (comparison, logical, element, array, evaluation)
- Working with Atlas Search (dynamic thresholds, embedded document search)
- Debugging query syntax, performance, or unexpected results
- Handling data type coercion in queries
When writing or debugging queries, if the dataset structure is not already known from context, try to discover it using the rossum-api MCP tools: data_storage_list_collections to find available collections and data_storage_aggregate with [{"$sample": {"size": 1}}] to retrieve a sample record. Fall back to asking the user only if the MCP tools are not available.
