convex-mutations
About
This skill provides comprehensive guidelines for implementing Convex mutation functions for database operations. Use it when defining, registering, and calling mutations that write or modify data, including handling transactions and scheduling future jobs. It covers database operations like insert/patch/delete and coordination with scheduled functions.
Quick Install
Claude Code
Recommended/plugin add https://github.com/Sstobo/convex-skillsgit clone https://github.com/Sstobo/convex-skills.git ~/.claude/skills/convex-mutationsCopy and paste this command in Claude Code to install this skill
Documentation
Convex Mutations Skill
This skill provides specialized guidance for implementing Convex mutation functions, including best practices for function definition, registration, database operations, and scheduling patterns.
When to Use This Skill
Use this skill when:
- Defining new mutation functions to write or modify data in the Convex database
- Performing database operations (
insert,patch,replace,delete) - Calling mutations from other Convex functions
- Scheduling future mutations with
ctx.scheduler.runAfter - Handling transactional operations
- Coordinating mutations with actions for background processing
Skill Resources
This skill includes comprehensive reference documentation in references/mutation-guidelines.md that covers:
Core Mutation Development
- Function definition syntax using the new function syntax
- Mutation registration (
mutationandinternalMutation) - Argument validators and their usage
- Function calling patterns (
ctx.runQueryandctx.runMutation) - Function references (
apiandinternalobjects) - File-based routing for mutation paths
Database Operations
ctx.db.insert()- Create new documentsctx.db.patch()- Shallow merge updates into existing documentsctx.db.replace()- Fully replace existing documents- Error handling for missing documents
- Transaction semantics and consistency guarantees
Advanced Mutation Features
- Scheduling: Using
ctx.scheduler.runAfter()to queue background jobs- Scheduling mutations and actions for future execution
- Understanding that auth state does NOT propagate to scheduled jobs
- Using internal functions for scheduled jobs that need privileges
- Avoiding tight loops and respecting 10-second minimum intervals
- Transactional Behavior: Understanding mutation transactions
- Enqueuing scheduler jobs is transactional within mutations
- Race condition prevention through transaction boundaries
Function Composition
- Calling queries within mutations for validation
- Calling mutations from mutations
- Using return type annotations for same-file mutation calls
How to Use This Skill
- Read the reference documentation at
references/mutation-guidelines.mdto understand the complete mutation patterns - Follow the syntax examples for defining mutation functions with proper validators
- Use appropriate database operations (
insert,patch,replace) based on your needs - Schedule background work using
ctx.scheduler.runAfterfor long-running operations - Remember auth state does NOT propagate to scheduled jobs; use internal functions for privileged operations
- Leverage transactions for consistency across multiple operations
Key Mutation Guidelines
- ALWAYS include argument validators for all mutation functions
- Use
ctx.db.patch()for partial updates andctx.db.replace()for full replacements - Use
ctx.scheduler.runAfter()to schedule actions (e.g., AI responses, notifications) - Remember that scheduled jobs have
nullauth state; use internal functions instead - Mutations execute for at most 1 second and can write up to 8192 documents
- Return
nullimplicitly if your mutation doesn't have an explicit return value - Use return type annotations when calling mutations in the same file (TypeScript circularity workaround)
Example: Mutation with Database Operation and Scheduling
import { mutation, internalAction } from "./_generated/server";
import { v } from "convex/values";
import { internal } from "./_generated/api";
export const sendMessage = mutation({
args: {
channelId: v.id("channels"),
authorId: v.id("users"),
content: v.string(),
},
handler: async (ctx, args) => {
// Validate channel and user exist
const channel = await ctx.db.get(args.channelId);
if (!channel) {
throw new Error("Channel not found");
}
// Insert message into database
await ctx.db.insert("messages", {
channelId: args.channelId,
authorId: args.authorId,
content: args.content,
});
// Schedule AI response generation (transactional)
await ctx.scheduler.runAfter(0, internal.functions.generateResponse, {
channelId: args.channelId,
});
return null;
},
});
export const updateUserStatus = mutation({
args: {
userId: v.id("users"),
status: v.string(),
},
handler: async (ctx, args) => {
// Patch updates an existing document with shallow merge
await ctx.db.patch(args.userId, {
status: args.status,
lastUpdated: Date.now(),
});
return null;
},
});
For more detailed information and additional patterns, refer to the complete reference documentation.
GitHub Repository
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