# Speak Deploy Integration

> 'Deploy Speak language learning features to Vercel, Cloud Run, or containerized environments. Use when implementing deploy integration, or managing Speak language learning platform operations. Trigger with phrases like "speak deploy integration", "speak deploy integration". '

- Skill: `thedixitjain/speak-deploy-integration` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add thedixitjain/speak-deploy-integration`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thedixitjain/speak-deploy-integration/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: thedixitjain (https://skillmd.com/u/thedixitjain)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/thedixitjain/speak-deploy-integration

---


# Speak Deploy Integration

## Overview

Deploy Speak language learning features to Vercel, Cloud Run, or containerized environments.

## Prerequisites

- Completed `speak-install-auth` setup
- Valid API credentials configured
- Understanding of Speak API patterns

## Instructions

### Step 1: Configuration

Configure deploy integration for your Speak integration. Speak uses OpenAI's GPT-4o for AI tutoring and Whisper for speech recognition.

```typescript
// speak_deploy_integration_config.ts
const config = {
  apiKey: process.env.SPEAK_API_KEY!,
  appId: process.env.SPEAK_APP_ID!,
  environment: process.env.NODE_ENV || 'development',
};
```

### Step 2: Implementation

```typescript
// Core implementation for speak deploy integration
import { SpeakClient } from '@speak/language-sdk';

const client = new SpeakClient(config);

// Production-ready implementation
async function setup() {
  const health = await client.health.check();
  console.log("Status:", health.status);
  return health;
}
```

### Step 3: Verification

```bash
curl -sf -H "Authorization: Bearer $SPEAK_API_KEY" https://api.speak.com/v1/health | jq .
```

## Output

- Speak Deploy Integration configured and verified
- Production-ready Speak integration
- Error handling and monitoring in place

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| 401 Unauthorized | Invalid API key | Verify SPEAK_API_KEY |
| 429 Rate Limited | Too many requests | Implement backoff |
| Connection timeout | Network issue | Check connectivity to api.speak.com |
| Audio format error | Wrong codec | Convert to WAV 16kHz mono |

## Resources

- [Speak Website](https://speak.com)
- [OpenAI Realtime API](https://platform.openai.com/docs/guides/realtime)
- [Speak GPT-4 Blog](https://speak.com/blog/speak-gpt-4)

## Next Steps

For production checklist, see `speak-prod-checklist`.

## Examples

**Basic**: Apply deploy integration with default settings for a standard Speak integration.

**Production**: Configure with monitoring, alerting, and team-specific language learning requirements.

---

**Source:** [`jeremylongshore/claude-code-plugins-plus-skills`](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) → `skills/.curated/speak-deploy-integration/SKILL.md`

**Also appears in:** `jeremylongshore/claude-code-plugins-plus-skills/plugins/saas-packs/speak-pack/skills/speak-deploy-integration/SKILL.md`