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Convex backend

Skill BagelHole/DevOps-Security-Agent-Skills/infrastructure/platforms/convex-backend

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Install
npx -y skills add BagelHole/DevOps-Security-Agent-Skills --skill convex-backend

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What its author says it does

Copied from the file, not written here

Build 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.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Convex Backend

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 internal functions 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

IssueSolution
Function timeoutActions have 10min limit; break into smaller steps
Query too slowAdd database index matching your query pattern
Type errorsRun npx convex dev to regenerate types
Auth not workingCheck auth.config.ts and provider domain
Deploy failsCheck npx convex logs, verify env vars are set

Related Skills

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most data backend skills give in ~1.9k tokens

Counted across 229 of the 229 authors here whose files we hold, read 2026-08-07

  • Separate business logic into service layersin 22 of 229, across 15 files
  • Retry failures with exponential backoffin 21 of 229, across 14 files
  • Select only needed database columnsin 20 of 229, across 13 files
  • Abstract data access into repository classesin 19 of 229, across 12 files
  • Use centralized error handlersin 17 of 229, across 10 files
  • Use AsNoTracking for read-only queriesin 16 of 229, across 4 files
  • Use async/await for all I/O operationsin 16 of 229, across 5 files
  • Implement structured loggingin 15 of 229, across 4 files
  • Use dependency injection for all servicesin 14 of 229, across 2 files
  • Use resource-based URLs for REST APIsin 13 of 229, across 7 files
  • Invalidate cache after data changesin 13 of 229, across 9 files
  • Use a dependency injection containerin 12 of 229, across 4 files

Said here and by no other author read

  • define schema and validation before writing functions
  • keep mutations idempotent
  • add auth identity checks in privileged functions
  • add indexes early for high-read collections
  • use internal functions for server-only logic
  • store secrets in convex environment variables

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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