Codehooks Backend

Codehooks Backend Skill

Give your OpenClaw agent a serverless backend for REST APIs, webhooks, data storage, scheduled jobs, queue workers, and autonomous workflows.

Your agent can deploy code

With this skill, your agent can write JavaScript/TypeScript code and deploy it to a live serverless backend in 5 seconds. No human intervention required — the agent iterates autonomously.

Codehooks has a free tier to get started, and paid plans have no extra charges for traffic or API calls — let your agent deploy without worrying about usage costs.

⚠️ Warning: This gives your agent the ability to deploy and run code on a live server. Review your agent's actions, set appropriate permissions, and monitor usage. You are responsible for any code your agent deploys.

What this skill enables

• REST APIs with automatic OpenAPI/Swagger documentation
• Instant CRUD APIs using crudlify() with schema validation
• Webhook endpoints that external services can call (Stripe, GitHub, Shopify, etc.)
• Persistent storage beyond local memory (NoSQL + key-value)
• Background jobs and scheduled tasks that run 24/7
• Queue workers for async processing
• Autonomous workflows with retries, branching, and state management

Setup

Human does once:

npm install -g codehooks
coho login
coho create openclaw-backend
coho add-admintoken

Give the admin token to your agent.

Agent uses:

export CODEHOOKS_ADMIN_TOKEN="your-token-here"
coho deploy --admintoken $CODEHOOKS_ADMIN_TOKEN

The agent can now deploy code, query data, and manage the backend.

Essential: Load the development context

Before building anything, run:

coho prompt

This outputs the complete Codehooks development prompt — routing, database, queues, jobs, workflows, and the full codehooks-js API. Copy it into your context to build any backend feature correctly.

macOS shortcut:

coho prompt | pbcopy

Understand existing projects

Before modifying an existing project, get the full picture:

# Returns JSON with collections, stats, recent deploys, and error logs
coho doctor

# Describe the app structure — collections, schemas, queues, files
coho describe

coho doctor is the most powerful diagnostic command — it returns structured JSON covering database collections with document counts, deployment history, queue and worker status, and recent error logs. Always run it when joining an existing project or debugging issues.

coho describe complements doctor by showing the structural overview: what collections exist, their schemas, registered queues, and deployed files.

Commands your agent can use

All commands accept --admintoken $CODEHOOKS_ADMIN_TOKEN for non-interactive use. Full CLI reference: https://codehooks.io/docs/cli

Code examples

Instant CRUD API with validation

import { app } from 'codehooks-js';
import * as Yup from 'yup';

const productSchema = Yup.object({
  name: Yup.string().required(),
  price: Yup.number().positive().required(),
  category: Yup.string().required()
});

// Creates GET, POST, PUT, DELETE endpoints automatically
// OpenAPI docs available at /.well-known/openapi
app.crudlify({ product: productSchema });

export default app.init();

Webhook that stores incoming data

import { app, Datastore } from 'codehooks-js';

// Allow webhook endpoint without JWT authentication
app.auth('/webhook', (req, res, next) => {
  next();
});

app.post('/webhook', async (req, res) => {
  const conn = await Datastore.open();
  await conn.insertOne('events', {
    ...req.body,
    receivedAt: new Date().toISOString()
  });
  res.json({ ok: true });
});

export default app.init();

Scheduled job (runs daily at 9am)

import { app, Datastore } from 'codehooks-js';

app.job('0 9 * * *', async (_, { jobId }) => {
  console.log(`Running job: ${jobId}`);
  const conn = await Datastore.open();
  const events = await conn.getMany('events', {}).toArray();
  console.log('Daily summary:', events.length, 'events');
});

export default app.init();

Queue worker for async processing

import { app, Datastore } from 'codehooks-js';

app.worker('processTask', async (req, res) => {
  const { task } = req.body.payload;
  const conn = await Datastore.open();
  await conn.updateOne('tasks', { _id: task.id }, { $set: { status: 'completed' } });
  res.end();
});

export default app.init();

Autonomous workflow (multi-step with retries)

import { app } from 'codehooks-js';

const workflow = app.createWorkflow('myTask', 'Process tasks autonomously', {
  begin: async function (state, goto) {
    console.log('Starting task:', state.taskId);
    goto('process', state);
  },
  process: async function (state, goto) {
    // Do work here - workflow handles retries and state
    state = { ...state, result: 'processed' };
    goto('complete', state);
  },
  complete: function (state, goto) {
    console.log('Done:', state.result);
    goto(null, state); // End workflow
  }
});

// Agent starts workflow via API
app.post('/start', async (req, res) => {
  const result = await workflow.start(req.body);
  res.json(result);
});

export default app.init();

Important patterns

• getMany() returns a stream — use .toArray() when you need to manipulate data (sort, filter, map)
• Webhook signatures: Use req.rawBody for signature verification, not req.body
• No filesystem access: fs, path, os are not available — this is a serverless environment
• Secrets: Use process.env.VARIABLE_NAME for API keys and secrets
• Static files: app.static({ route: '/app', directory: '/public' }) serves static sites from deployed source
• File storage: app.storage({ route: '/docs', directory: '/uploads' }) serves uploaded files

Development workflow: Let your agent build new endpoints

1. Agent runs coho prompt and loads the development context
2. For existing projects, agent runs coho doctor and coho describe to understand what's deployed
3. Agent writes code using codehooks-js patterns
4. Agent runs coho deploy (5 seconds to live)
5. Agent verifies with coho log -f or tests endpoints with coho info --examples
6. Agent iterates — the fast deploy loop enables rapid development

When to use this skill

• You need a reliable webhook URL for Stripe, GitHub, Shopify, etc.
• You want persistent storage outside your local machine
• You need scheduled jobs that run even when your device is off
• You want to offload sensitive API integrations to a sandboxed environment
• You need queues for async processing
• You want autonomous multi-step workflows that run independently with retries

Resources

• Documentation: https://codehooks.io/docs
• CLI reference: https://codehooks.io/docs/cli
• AI prompt: Run coho prompt or visit https://codehooks.io/llms.txt
• Templates: https://github.com/RestDB/codehooks-io-templates
• MCP Server: https://github.com/RestDB/codehooks-mcp-server