byamritmalla· 56 skills
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Use when auditing or optimizing MongoDB query and aggregation performance for an existing data model after data-architecture and the data model exist and performance has set the query SLOs. Produces an explain("executionStats")-driven query review, an index audit (compound/multikey/text/geo/TTL/partial/wildcard), aggregation-pipeline cost review, projection and collation posture, shard-key effectiveness analysis, and profiler-driven hot-collection identification with a remediation plan. Do not use for document modeling, validator or shard-key choice, replication topology, backup, security hardening, or ODM/repository query code; use the other Family B archetype skills (modeling/shard-key is data-model-and-migration; ODM code is the backend skill).
$npx -y skills add amritmalla/claude-full-stack-2.0 --skill mongodb-indexing-and-query-optimizationInstalls into the current project.
Run `npx skills use "https://github.com/amritmalla/claude-full-stack-2.0" --skill "amritmalla/claude-full-stack-2.0/mongodb-indexing-and-query-optimization"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/amritmalla/claude-full-stack-2.0" that are relevant to the current task. Run `npx skills add "https://github.com/amritmalla/claude-full-stack-2.0"` and select the relevant skills, then follow their instructions.