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codehooks-backend

Deploy serverless backends for REST APIs, webhooks, data storage, scheduled jobs, queue workers, and autonomous workflows.

作者: admin | 来源: ClawHub
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ClawHub
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V 1.0.0
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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:** ```bash npm install -g codehooks coho login coho create openclaw-backend coho add-admintoken ``` Give the admin token to your agent. **Agent uses:** ```bash 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: ```bash 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:** ```bash coho prompt | pbcopy ``` ## Understand existing projects Before modifying an existing project, get the full picture: ```bash # 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 | Command | What it does | |---------|--------------| | `coho prompt` | Get the full development context | | `coho doctor` | Diagnose project state — collections, stats, deploys, error logs | | `coho describe` | Describe app structure — collections, schemas, queues, files | | `coho deploy` | Deploy code (5 seconds to live) | | `coho info --examples` | Get endpoint URLs with cURL examples | | `coho log -f` | Stream logs in real-time | | `coho query -c <collection> -q 'field=value'` | Query the database | | `coho queue-status` | Check queue status | | `coho workflow-status` | Check workflow status | | `coho import -c <collection> --file data.json` | Import data | | `coho export -c <collection>` | Export data | --- ## Code examples ### Instant CRUD API with validation ```javascript 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 ```javascript 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) ```javascript 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 ```javascript 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) ```javascript 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

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通过对话安装

该技能支持在以下平台通过对话安装:

OpenClaw WorkBuddy QClaw Kimi Claude

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下载 Zip 包

⬇ 下载 codehooks-backend v1.0.0

文件大小: 10.27 KB | 发布时间: 2026-4-17 19:54

v1.0.0 最新 2026-4-17 19:54
- Initial release of the Codehooks Backend Skill.
- Enables agents to deploy serverless backends for REST APIs, webhooks, data storage, jobs, queue workers, and workflows.
- Provides detailed setup instructions, security notes, and essential usage patterns.
- Includes code examples for CRUD APIs, webhooks, scheduled jobs, queue workers, and workflows.
- Documents recommended CLI commands for diagnostics, deployment, querying, and monitoring.
- Lists development workflow and best practices for agent-driven backend automation.

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