convex-development

Apply Convex database best practices for cost optimization, performance, security, and architecture. Use when: building Convex backends, optimizing queries, handling embeddings/vector search, reviewing Convex code, designing schemas, planning migrations, or discussing Convex architecture. Keywords: Convex, real-time database, queries, mutations, actions, indexes, pagination, vector search, embeddings, schema, migrations, ctx.auth, convex-helpers, bandwidth.

$ Instalar

git clone https://github.com/phrazzld/claude-config /tmp/claude-config && cp -r /tmp/claude-config/skills/convex-development ~/.claude/skills/claude-config

// tip: Run this command in your terminal to install the skill


name: convex-development description: | Apply Convex database best practices for cost optimization, performance, security, and architecture. Use when: building Convex backends, optimizing queries, handling embeddings/vector search, reviewing Convex code, designing schemas, planning migrations, or discussing Convex architecture. Keywords: Convex, real-time database, queries, mutations, actions, indexes, pagination, vector search, embeddings, schema, migrations, ctx.auth, convex-helpers, bandwidth.

Convex Development

Best practices for robust, secure, performant, cost-effective Convex backends.

Core Principle

Deep modules via the convex/model/ pattern. Most logic should be plain TypeScript; query/mutation wrappers should be thin.

convex/
  _generated/         # MUST commit to git!
  model/              # Business logic (testable, reusable)
  users.ts            # Public API (thin wrappers)
  schema.ts

Critical Rules

  1. ALWAYS commit convex/_generated/ - Required for type-checking, CI/CD, team productivity
  2. Index what you query - .withIndex() not .filter() for efficient queries
  3. Paginate everything - Never unbounded .collect() on user-facing queries
  4. Trust ctx.auth only - Never user-provided auth data

Quick Reference

NeedUse
Read data reactivelyquery
Write to databasemutation
External APIs, vector searchaction
Scheduled tasksinternalMutation / internalAction

Anti-Patterns Scanner

Run scripts/anti_patterns_scanner.py ./convex to detect common issues.

Detailed References

For comprehensive guidance, see:

  • references/cost-mitigation.md - Bandwidth optimization, indexing, pagination
  • references/embeddings-vectors.md - Vector search patterns, co-location decisions
  • references/query-performance.md - Compound indexes, query segmentation, caching
  • references/security-access.md - Auth patterns, RLS, RBAC, convex-helpers
  • references/schema-migrations.md - Expand/Contract pattern, environment management
  • references/architectural-patterns.md - File organization, state machines, naming

Philosophy

  • Cost First: Bandwidth is often the largest cost. Index aggressively, paginate everything.
  • Security First: Never trust client input. Always use ctx.auth.
  • Reactivity is Power: Use useQuery for real-time updates; don't forfeit with one-off fetches.
  • Type Safety End-to-End: Leverage Convex's full type chain from database to UI.