Analyzes Convex deployment spend by ranking functions by bytes read and call volume.
npx skills add https://github.com/Tehzeeb07/CodeRush --skill convex-cost-tehzeeb07
Please help me install this Agent Skill. Skill: convex-cost Source: https://github.com/Tehzeeb07/CodeRush/tree/main/.agents/skills/convex-cost Command: npx skills add https://github.com/Tehzeeb07/CodeRush --skill convex-cost-tehzeeb07
.collect() grows linearly with table size while indexed .take(n) stays flat — instead of false-precision dollar figures. - Cheapest-Fix Recommendations: Names the lowest-cost remedy per driver (index + .withIndex, .paginate/.take, aggregate components, caching) and emits cost-class findings for convex-expert/convex-advisor. - Confirm-Cost Gate: States the price and recurrence of any metered action (domain purchase, plan change) and requires explicit approval before proceeding. - Use Case: Before launch, ask which queries will get expensive at scale; the Skill flags that messages:list reads the whole table every call and that indexing it drops cost roughly 100x. ## Quick Start Ask the agent to preview what my Convex app will cost and rank the functions driving the most spend.High-intent search queries and answers about installing and using this skill.
Cost equals data read per call multiplied by call volume, so rank functions by bytes/documents read from the insights API times observed call frequency. A cheap function called constantly can outweigh an expensive rare one, so both factors must be shown together.
With no usage data, estimate from query shapes instead of metrics. A `.collect()` over a table projected to grow is a future linear cost even at zero traffic today, while an indexed `.take(n)` stays flat regardless of table size.
Replace full-table scans with an index plus `.withIndex`, use `.paginate` or `.take` instead of `.collect`, add an aggregate component for counts, or cache hot reads. Indexing a scan-heavy query can reduce its cost by orders of magnitude.
No. The insights data source is cloud and user-auth only, so cost reads run over dev and prod deployments in read-only mode. Preview deployments are not supported for usage evidence.
Convex pricing changes and depends on your plan, so the Skill reports relative cost drivers and growth curves rather than inventing precise totals. It cites the official pricing page for absolute figures.
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