convex-backend
Scannednpx machina-cli add skill CloudAI-X/claude-workflow-v2/convex-backend --openclawConvex Backend Guidelines
When to Load
- Trigger: Convex-specific development, writing Convex functions, schemas, queries, mutations, actions, or real-time subscriptions
- Skip: Project does not use Convex as its backend
Comprehensive guide for building Convex backends with TypeScript. Covers function syntax, validators, schemas, queries, mutations, actions, scheduling, and file storage.
When to Apply
Reference these guidelines when:
- Writing new Convex functions (queries, mutations, actions)
- Defining database schemas and validators
- Implementing real-time data fetching
- Setting up cron jobs or scheduled functions
- Working with file storage
- Designing API structure
Rule Categories
| Category | Impact | Description |
|---|---|---|
| Function Syntax | CRITICAL | New function syntax with args/returns/handler |
| Validators | CRITICAL | Type-safe argument and return validation |
| Schema Design | HIGH | Table definitions, indexes, system fields |
| Query Patterns | HIGH | Efficient data fetching with indexes |
| Mutation Patterns | MEDIUM | Database writes, patch vs replace |
| Action Patterns | MEDIUM | External API calls, Node.js runtime |
| Scheduling | MEDIUM | Crons and delayed function execution |
| File Storage | LOW | Blob storage and metadata |
Quick Reference
Function Registration
// Public functions (exposed to clients)
import { query, mutation, action } from "./_generated/server";
// Internal functions (only callable from other Convex functions)
import {
internalQuery,
internalMutation,
internalAction,
} from "./_generated/server";
Function Syntax (Always Use This)
export const myFunction = query({
args: { name: v.string() },
returns: v.string(),
handler: async (ctx, args) => {
return "Hello " + args.name;
},
});
Common Validators
| Type | Validator | Example |
|---|---|---|
| String | v.string() | "hello" |
| Number | v.number() | 3.14 |
| Boolean | v.boolean() | true |
| ID | v.id("tableName") | doc._id |
| Array | v.array(v.string()) | ["a", "b"] |
| Object | v.object({...}) | {name: "x"} |
| Optional | v.optional(v.string()) | undefined |
| Union | v.union(v.string(), v.number()) | "x" or 1 |
| Literal | v.literal("status") | "status" |
| Null | v.null() | null |
Function References
// Public functions
import { api } from "./_generated/api";
api.example.myQuery; // convex/example.ts → myQuery
// Internal functions
import { internal } from "./_generated/api";
internal.example.myInternalMutation;
Query with Index
// Schema
messages: defineTable({...}).index("by_channel", ["channelId"])
// Query
await ctx.db
.query("messages")
.withIndex("by_channel", (q) => q.eq("channelId", channelId))
.order("desc")
.take(10);
Key Rules
- Always include
argsandreturnsvalidators on all functions - Use
v.null()for void returns - never omit return validator - Use
withIndex()notfilter()- define indexes in schema - Use
internalQuery/Mutation/Actionfor private functions - Actions cannot access
ctx.db- use runQuery/runMutation instead - Include type annotations when calling functions in same file
Full Compiled Document
For the complete guide with all rules and detailed code examples, see: AGENTS.md
Source
git clone https://github.com/CloudAI-X/claude-workflow-v2/blob/main/skills/convex-backend/SKILL.mdView on GitHub Overview
This skill provides structured guidelines for building Convex backends using TypeScript. It covers function syntax, validators, schemas, queries, mutations, actions, scheduling, and file storage, helping you write scalable, type-safe backend code.
How This Skill Works
Load these guidelines when implementing Convex backend logic. They outline recommended patterns for function definitions, input/output validation, indexing, scheduling, and file storage to ensure reliable, efficient backend operations.
When to Use It
- Writing Convex functions (queries, mutations, actions) with proper args and returns validators
- Defining and validating database schemas and validators
- Implementing real-time subscriptions and indexed queries
- Scheduling cron jobs or delayed functions via the Convex runtime
- Working with file storage (blob storage) and metadata in Convex projects
Quick Start
- Step 1: Import function builders from ./_generated/server (query, mutation, action) and export your function
- Step 2: Implement a function using the standard syntax with args and returns validators, e.g., export const f = query({ args: { ... }, returns: v.string(), handler: async (ctx, args) => { ... } })
- Step 3: Run the project, validate inputs/outputs with validators, and use withIndex for optimized data access where appropriate
Best Practices
- Always include args and returns validators on all functions
- Use v.null() for void returns
- Use withIndex() for queries; define indexes in the schema
- Use internalQuery/internalMutation/internalAction for private or internal calls
- Design schemas with validators and plan indexes/system fields upfront
Example Use Cases
- A typed Convex function defined with explicit args and a string return using the standard function syntax
- A schema definition with validators and an index created via defineTable(...).index("by_user", ["userId"])
- A query that uses withIndex to fetch recent records efficiently
- A scheduled function (cron) that runs daily to perform cleanup
- A function that stores a blob and its metadata using Convex File Storage