speak-ci-integration
GitHub Actions pipeline for Speak integrations with mocked API tests and audio validation. Use when implementing ci integration, or managing Speak language learning platform operations. Trigger with phrases like "speak ci integration", "speak ci integration".
Best use case
speak-ci-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
GitHub Actions pipeline for Speak integrations with mocked API tests and audio validation. Use when implementing ci integration, or managing Speak language learning platform operations. Trigger with phrases like "speak ci integration", "speak ci integration".
Teams using speak-ci-integration 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/speak-ci-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How speak-ci-integration Compares
| Feature / Agent | speak-ci-integration | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
GitHub Actions pipeline for Speak integrations with mocked API tests and audio validation. Use when implementing ci integration, or managing Speak language learning platform operations. Trigger with phrases like "speak ci integration", "speak ci integration".
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.
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SKILL.md Source
# Speak CI Integration
## Overview
GitHub Actions pipeline for Speak integrations with mocked API tests and audio validation.
## Prerequisites
- Completed `speak-install-auth` setup
- Valid API credentials configured
- Understanding of Speak API patterns
## Instructions
### Step 1: Configuration
Configure ci integration for your Speak integration. Speak uses OpenAI's GPT-4o for AI tutoring and Whisper for speech recognition.
```typescript
// speak_ci_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 ci integration
import { SpeakClient } from '@speak/language-sdk';
const client = new SpeakClient(config);
// CI test with mocked responses
async function runCITests() {
const mockClient = new MockSpeakClient();
await mockClient.assessPronunciation({ audioPath: "test.wav", targetText: "hello", language: "en" });
console.log("CI tests passed");
}
```
### Step 3: Verification
```bash
npm test
```
## Output
- Speak CI Integration configured and verified
- CI pipeline with mocked Speak API tests
- 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 deployment, see `speak-deploy-integration`.
## Examples
**Basic**: Apply ci integration with default settings for a standard Speak integration.
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