convex

Convex

Convex backend skill with a bias toward safety, observability, and index-backed queries.

Docs-First Rule (Blocking)

Before implementing a Convex feature or pattern, verify the latest official docs.

Primary sources:

• https://docs.convex.dev/
• https://stack.convex.dev/

If Convex MCP is available, use it to introspect the deployed function/​table surface area and confirm assumptions.

Environments (Dev / Preview / Prod)

Convex projects typically have:

• Dev deployments (your local npx convex dev sync target)
• Preview deployments (branch/​PR deployments, beta feature)
• Production deployment

Use MCP status (if available) or the CLI to confirm which deployment you are connected to before making changes.

Components-First Rule

Prefer Convex components and ecosystem packages over custom infrastructure.

Start at:

• https://docs.convex.dev/components
• references/​ecosystem.md

Core Rule (Blocking)

Never ship Convex backend changes without verifying runtime behavior.

Preferred verification order:

1. Convex MCP logs (structured, diffable)
2. npx convex dev terminal logs
3. Convex Dashboard logs

Project Conventions (Preferred)

• Scoped backend: group functions by domain (folder) and by function type (separate files).
• Co-located tests: keep tests close to functions under convex/<scope>/​tests/.
• Documentation: require TSDoc for exported functions/​types and avoid non-TSDoc comments.

See references/​style.md and references/​testing.md.

Router

MCP Integration (Recommended)

If Convex MCP is available, use it first.

If Convex MCP is not available, this skill still works:

• Use the Convex CLI (npx convex ...) and the dashboard.

• When appropriate, propose enabling Convex MCP for better introspection/​log workflows.

• Discover deployments: convex_status({ projectDir })

• Inspect functions: convex_functionSpec({ deploymentSelector })

• Inspect tables: convex_tables({ deploymentSelector })

• Read data: convex_data({ deploymentSelector, tableName, ... })

• Run functions: convex_run({ deploymentSelector, functionName, args })

• Run safe ad-hoc reads: convex_runOneoffQuery({ deploymentSelector, query })

• Verify logs: convex_logs({ deploymentSelector, ... })

Full workflow: references/​mcp.md.

Critical Rules (7)

1. Always use validators (args + returns) for functions.
2. Always use explicit table names with ctx.db.get/​patch/​replace.
3. Prefer index-backed queries (withIndex) and bounded reads (take/​pagination).
4. User identity comes from ctx.auth, never from args.
5. Use internal* functions for sensitive operations.
6. Schedule only internal functions.
7. Use v.null() for void returns (return null).

References

• Patterns:
  • references/​patterns/​schemas.md
  • references/​patterns/​functions.md
  • references/​patterns/​auth.md
  • references/​patterns/​workflows.md
  • references/​patterns/​http.md
• Other:
  • references/​mcp.md
  • references/​cli.md
  • references/​cli-help.md
  • references/​style.md
  • references/​file-storage.md
  • references/​testing.md
  • references/​ecosystem.md
  • references/​troubleshooting.md
• Checklist:
  • checklists/​validation.md