Create, inspect, drop, and explain MongoDB indexes with JSON input.
npx skills add https://github.com/theslashdojo/dojo --skill indexes-theslashdojo
Please help me install this Agent Skill. Skill: indexes Source: https://github.com/theslashdojo/dojo/tree/main/nodes/mongodb/indexes Command: npx skills add https://github.com/theslashdojo/dojo --skill indexes-theslashdojo
Query performance, sort costs, and uniqueness guarantees in MongoDB often depend on correct index shape; this skill helps create, inspect, drop, and explain indexes so agents and developers can tune read latency and enforce constraints with confidence.
Provide a MongoDB URI and an INDEX_INPUT_JSON payload describing database, collection, and action then run the manage-indexes script to create, list, drop, or explain indexes.
High-intent search queries and answers about installing and using this skill.
You can create a compound MongoDB index by providing a MongoDB URI and a JSON payload specifying the database, collection, and index keys. The skill creates single-field and compound indexes to match common filter and sort patterns, improving read latency.
You use the explain action with executionStats to inspect MongoDB query plans and execution statistics. This verifies whether a MongoDB index is used and helps iterate on index design by showing detailed execution metrics.
Yes, you can list and drop obsolete MongoDB indexes to reduce write amplification and storage overhead in high-write collections. Provide the target database and collection in the JSON payload to remove unwanted indexes.
Yes, the index creation process supports TTL and unique constraints in MongoDB. You can enforce uniqueness guarantees and manage time-to-live indexes by specifying the appropriate options in the JSON input payload.
Yes, the index management process accepts JSON and EJSON input for integration with node.js tooling. This allows automated workflows to create, inspect, drop, and explain MongoDB indexes using controlled index DDL.
opzero1Automate PostgreSQL and MongoDB patterns for data modeling, indexing, and migrations.
dieu-donneeIdentify slow queries and validate index strategies with EXPLAIN ANALYZE across PostgreSQL and MySQL.
congiulucConfigure MongoDB connections, mappings, and queries in .NET applications.
interserverDiagnose slow MongoDB queries and recommend index changes using explain plans.
