Identify and reduce Convex read bandwidth while preserving query correctness.
npx skills add https://github.com/zuzu59/z-skills --skill convex-cost-optimizer
Please help me install this Agent Skill. Skill: convex-cost-optimizer Source: https://github.com/zuzu59/z-skills/tree/main/skills/convex-cost-optimizer Command: npx skills add https://github.com/zuzu59/z-skills --skill convex-cost-optimizer
Reduces Convex database bandwidth and read amplification while preserving query correctness, helping teams avoid costly full-table scans and inefficient data access patterns.
Run the Convex Cost Optimizer against your dashboard signals or codebase to identify high-bandwidth queries and apply the recommended fixes.
High-intent search queries and answers about installing and using this skill.
Reduce Convex read bandwidth by identifying hot functions with high documents-read relative to returned data, then replacing full-table scans and unbounded collects with selective reads and well-constructed indexes. This preserves query correctness while cutting costs.
High Convex read bandwidth often stems from expensive queries performing heavy full-table scans, excessive filtering, or unbounded collects that read many documents but return few. Dashboard signals help prioritize these hot functions for targeted code audits.
Optimize Convex queries by applying indexing and query-design recommendations to replace full scans with selective reads, enforcing correctness checks, and focusing code audits on hot functions to measure impact and reduce document reads.
Fix unbounded collects and nested queries by applying targeted code-audit guidance that enforces correctness checks while proposing selective reads and indexes. This reduces read amplification without altering the expected query results.
Add indexes to your Convex database when dashboard signals reveal heavy full-table scans or expensive queries. Replacing these patterns with selective reads and well-constructed indexes reduces document reads and lowers bandwidth costs.
ludicroushqAudit Convex applications for hot-path reads, write contention, subscription cost, and function budgets.
thoreinsteinAnalyze executed queries to identify missing database indexes and estimate performance impact.
waynesuttonAudit Convex reads, subscriptions, OCC conflicts, and function budgets.
v4lheruDesign database schemas with normalization, indexing, and migration patterns.
