Convex Backend
SkillCloud & infraBuild reactive backends with Convex functions, schema validation, auth integration, and deployment workflows. Use when building real-time apps with type-safe server functions and automatic caching.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Convex Backend skill
What this skill tells your AI
The instructions your AI receives, as published by bagelhole/devops-security-agent-skills in infrastructure/platforms/convex-backend/SKILL.md and read by ahel’s review.
Use Convex to build type-safe backend logic with realtime data sync.
When to Use This Skill
Use this skill when:
- Building real-time collaborative apps (chat, dashboards, multiplayer)
- Need a backend with zero infrastructure management
- Want type-safe server functions with automatic caching
- Building AI apps that need reactive data (agent status, streaming results)
- Prototyping quickly with a managed database + functions
Prerequisites
- Node.js 18+
- npm or pnpm
- Convex account (free tier: 1M function calls/month)
Quick Start
# Initialize Convex in an existing project
npm install convex
npx convex dev # Start local development (syncs with cloud)
# In a new project
npm create convex@latest
Schema Definition
// convex/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
export default defineSchema({
users: defineTable({
name: v.string(),
email: v.string(),
role: v.union(v.literal("admin"), v.literal("member")),
avatarUrl: v.optional(v.string()),
createdAt: v.number(),
})
.index("by_email", ["email"])
.index("by_role", ["role"]),
messages: defineTable({
userId: v.id("users"),
channelId: v.id("channels"),
body: v.string(),
attachments: v.optional(v.array(v.string())),
createdAt: v.number(),
})
.index("by_channel", ["channelId", "createdAt"])
.index("by_user", ["userId"]),
channels: defineTable({
name: v.string(),
description: v.optional(v.string()),
isPrivate: v.boolean(),
}),
});
Queries (Real-Time Reads)
// convex/messages.ts
import { query } from "./_generated/server";
import { v } from "convex/values";
export const listByChannel = query({
args: {
channelId: v.id("channels"),
limit: v.optional(v.number()),
},
handler: async (ctx, args) => {
const messages = await ctx.db
.query("messages")
.withIndex("by_channel", (q) => q.eq("channelId", args.channelId))
.order("desc")
.take(args.limit ?? 50);
// Resolve user data for each message
return Promise.all(
messages.map(async (msg) => {
const user = await ctx.db.get(msg.userId);
return { ...msg, user: user ? { name: user.name, avatarUrl: user.avatarUrl } : null };
})
);
},
});
Mutations (Writes)
// convex/messages.ts
import { mutation } from "./_generated/server";
import { v } from "convex/values";
export const send = mutation({
args: {
channelId: v.id("channels"),
body: v.string(),
},
handler: async (ctx, args) => {
const identity = await ctx.auth.getUserIdentity();
if (!identity) throw new Error("Not authenticated");
// Find or create user
const user = await ctx.db
.query("users")
.withIndex("by_email", (q) => q.eq("email", identity.email!))
.unique();
if (!user) throw new Error("User not found");
return await ctx.db.insert("messages", {
userId: user._id,
channelId: args.channelId,
body: args.body,
createdAt: Date.now(),
});
},
});
Actions (External APIs, AI)
// convex/ai.ts
import { action } from "./_generated/server";
import { v } from "convex/values";
import { api } from "./_generated/api";
export const generateResponse = action({
args: { prompt: v.string(), channelId: v.id("channels") },
handler: async (ctx, args) => {
// Call external AI API
const response = await fetch("https://api.anthropic.com/v1/messages", {
method: "POST",
headers: {
"Content-Type": "application/json",
"x-api-key": process.env.ANTHROPIC_API_KEY!,
"anthropic-version": "2023-06-01",
},
body: JSON.stringify({
model: "claude-sonnet-4-6",
max_tokens: 1024,
messages: [{ role: "user", content: args.prompt }],
}),
});
const data = await response.json();
const aiMessage = data.content[0].text;
// Save AI response as a message via mutation
await ctx.runMutation(api.messages.send, {
channelId: args.channelId,
body: aiMessage,
});
return aiMessage;
},
});
Scheduled Functions (Cron Jobs)
// convex/crons.ts
import { cronJobs } from "convex/server";
import { internal } from "./_generated/api";
const crons = cronJobs();
// Run every hour
crons.interval("cleanup old messages", { hours: 1 }, internal.maintenance.cleanupOldMessages);
// Run daily at midnight UTC
crons.cron("daily report", "0 0 * * *", internal.reports.generateDailyReport);
export default crons;
Auth Integration
// convex/auth.config.ts
export default {
providers: [
{
domain: process.env.AUTH_DOMAIN,
applicationID: "convex",
},
],
};
// React client setup
import { ConvexProviderWithClerk } from "convex/react-clerk";
import { ClerkProvider, useAuth } from "@clerk/clerk-react";
function App() {
return (
<ClerkProvider publishableKey={CLERK_KEY}>
<ConvexProviderWithClerk client={convex} useAuth={useAuth}>
<MyApp />
</ConvexProviderWithClerk>
</ClerkProvider>
);
}
React Client Usage
// src/components/Chat.tsx
import { useQuery, useMutation } from "convex/react";
import { api } from "../convex/_generated/api";
export function Chat({ channelId }: { channelId: string }) {
// Real-time query — auto-updates when data changes
const messages = useQuery(api.messages.listByChannel, { channelId });
const sendMessage = useMutation(api.messages.send);
const handleSend = async (body: string) => {
await sendMessage({ channelId, body });
};
if (messages === undefined) return <div>Loading...</div>;
return (
<div>
{messages.map((msg) => (
<div key={msg._id}>
<strong>{msg.user?.name}</strong>: {msg.body}
</div>
))}
</div>
);
}
Deployment
# Deploy to production
npx convex deploy
# Deploy with environment variables
npx convex deploy --env-file .env.production
# Set environment variables
npx convex env set ANTHROPIC_API_KEY sk-ant-...
npx convex env list
# View logs
npx convex logs
npx convex logs --follow
# Run a function manually
npx convex run messages:listByChannel '{"channelId": "abc123"}'
File Storage
// convex/files.ts
import { mutation, query } from "./_generated/server";
import { v } from "convex/values";
export const generateUploadUrl = mutation(async (ctx) => {
return await ctx.storage.generateUploadUrl();
});
export const getFileUrl = query({
args: { storageId: v.id("_storage") },
handler: async (ctx, args) => {
return await ctx.storage.getUrl(args.storageId);
},
});
Best Practices
- Define schema and validation before writing functions
- Keep mutations idempotent where possible
- Use auth identity checks in every privileged query/mutation
- Add indexes early for high-read collections
- Use
internalfunctions for server-only logic (crons, webhooks) - Store secrets in Convex environment variables, never in code
- Use optimistic updates in the React client for instant UI feedback
Troubleshooting
| Issue | Solution |
|---|---|
| Function timeout | Actions have 10min limit; break into smaller steps |
| Query too slow | Add database index matching your query pattern |
| Type errors | Run npx convex dev to regenerate types |
| Auth not working | Check auth.config.ts and provider domain |
| Deploy fails | Check npx convex logs, verify env vars are set |
Related Skills
- firebase-app-platform — Alternative managed backend
- vercel-deployments — Frontend hosting
- agent-observability — Instrument AI-driven backend flows
Signals
- GitHub stars
- 1k
- Forks
- 157
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
convex-backend- Source
- github.com/bagelhole/devops-security-agent-skills