Writes and validates Convex backend functions, schemas, indexes, and queries.
npx skills add https://github.com/openclaw/clawhub --skill convex-expert
Please help me install this Agent Skill. Skill: convex-expert Source: https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-expert Command: npx skills add https://github.com/openclaw/clawhub --skill convex-expert
Writing Convex backend code requires strict conventions—object-form functions, validators, index-based reads, and correct generated imports—that generic AI assistants routinely get wrong, causing deploy failures and performance defects.
Ask the agent to add a new Convex query with proper indexes and validators for a table in your convex/ directory.
High-intent search queries and answers about installing and using this skill.
Define an index in convex/schema.ts with .index(...) and query it using .withIndex(...) instead of .filter(), which performs a full table scan. Add args and returns validators and use object-form syntax for every registered function.
Import query, mutation, action, and their internal variants from "./_generated/server", and api or internal from "./_generated/api". Importing query from "convex/server" or internal from "./_generated/server" causes hard deploy failures.
No, mutations cannot fetch or perform external IO. All external calls belong in actions, which persist results by invoking internal mutations via ctx.runMutation.
Deploys fail when functions lack args or returns validators, use wrong imports, or store invalid values like undefined. Run npx tsc --noEmit and push with convex dev to surface and fix every reported error.
Never add a required field directly to a populated table. First add it as v.optional(...), backfill existing documents, then tighten the validator to required once all rows conform.
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