speak-multi-env-setup

Configure Speak across dev, staging, and production with separate API keys and mock modes. Use when implementing multi env setup, or managing Speak language learning platform operations. Trigger with phrases like "speak multi env setup", "speak multi env setup".

1,868 stars

Best use case

speak-multi-env-setup is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Configure Speak across dev, staging, and production with separate API keys and mock modes. Use when implementing multi env setup, or managing Speak language learning platform operations. Trigger with phrases like "speak multi env setup", "speak multi env setup".

Teams using speak-multi-env-setup should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/speak-multi-env-setup/SKILL.md --create-dirs "https://raw.githubusercontent.com/jeremylongshore/claude-code-plugins-plus-skills/main/plugins/saas-packs/speak-pack/skills/speak-multi-env-setup/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/speak-multi-env-setup/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How speak-multi-env-setup Compares

Feature / Agentspeak-multi-env-setupStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Configure Speak across dev, staging, and production with separate API keys and mock modes. Use when implementing multi env setup, or managing Speak language learning platform operations. Trigger with phrases like "speak multi env setup", "speak multi env setup".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Speak Multi-Environment Setup

## Overview
Configure Speak across dev, staging, and production with separate API keys and mock modes.

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

## Instructions

### Step 1: Configuration

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

```typescript
// speak_multi_env_setup_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 multi-environment setup
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 Multi-Environment Setup 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 multi env setup with default settings for a standard Speak integration.

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

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