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Speak Reference Architecture

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'Production architecture for Speak language learning apps: client, API

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  • Added September 21, 2026
ai-agentstypescriptbashnodeapi

Works with

  • claude code
  • cli
  • api

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Scanned September 21, 2026

npx -y skills add jeremylongshore/claude-code-plugins-plus --skill speak-reference-architecture --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: speak-reference-architecture
description: 'Production architecture for Speak language learning apps: client, API
  gateway, assessment engine, and progress store.

  Use when implementing reference architecture,

  or managing Speak language learning platform operations.

  Trigger with phrases like "speak reference architecture", "speak reference architecture".

  '
allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(curl:*), Grep
version: 1.14.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- speak
- api
compatibility: Designed for Claude Code
---
# Speak Reference Architecture

## Overview

Production architecture for Speak language learning apps: client, API gateway, assessment engine, and progress store.

## Prerequisites

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

## Instructions

### Step 1: Configuration

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

```typescript
// speak_reference_architecture_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 reference architecture
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 Reference Architecture 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 reference architecture with default settings for a standard Speak integration.

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

Files in this skill

  • SKILL.md2.7 KB
  • references/implementation-guide.md10.7 KB

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