elevenlabs-ci-integration
Configure CI/CD pipelines for ElevenLabs with mocked unit tests and gated integration tests. Use when setting up GitHub Actions for TTS projects, configuring CI test strategies, or automating ElevenLabs integration validation. Trigger: "elevenlabs CI", "elevenlabs GitHub Actions", "elevenlabs automated tests", "CI elevenlabs", "elevenlabs pipeline".
Best use case
elevenlabs-ci-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Configure CI/CD pipelines for ElevenLabs with mocked unit tests and gated integration tests. Use when setting up GitHub Actions for TTS projects, configuring CI test strategies, or automating ElevenLabs integration validation. Trigger: "elevenlabs CI", "elevenlabs GitHub Actions", "elevenlabs automated tests", "CI elevenlabs", "elevenlabs pipeline".
Teams using elevenlabs-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/elevenlabs-ci-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How elevenlabs-ci-integration Compares
| Feature / Agent | elevenlabs-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?
Configure CI/CD pipelines for ElevenLabs with mocked unit tests and gated integration tests. Use when setting up GitHub Actions for TTS projects, configuring CI test strategies, or automating ElevenLabs integration validation. Trigger: "elevenlabs CI", "elevenlabs GitHub Actions", "elevenlabs automated tests", "CI elevenlabs", "elevenlabs pipeline".
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
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
ChatGPT vs Claude for Agent Skills
Compare ChatGPT and Claude for AI agent skills across coding, writing, research, and reusable workflow execution.
SKILL.md Source
# ElevenLabs CI Integration
## Overview
Set up CI/CD pipelines that test ElevenLabs integrations without burning character quota on every PR. Uses a two-tier strategy: mocked unit tests on every push, gated integration tests on demand.
## Prerequisites
- GitHub repository with Actions enabled
- ElevenLabs API key for integration tests
- npm/pnpm project with vitest configured
## Instructions
### Step 1: GitHub Actions Workflow
```yaml
# .github/workflows/elevenlabs-tests.yml
name: ElevenLabs Tests
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
# Tier 1: Always runs — no API key needed, no quota cost
unit-tests:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: "20"
cache: "npm"
- run: npm ci
- run: npm test -- --coverage
env:
# Mock mode — no real API calls
ELEVENLABS_API_KEY: "sk_test_mock_key_for_ci"
# Tier 2: Only on main or manual trigger — uses real API
integration-tests:
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch'
needs: unit-tests
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: "20"
cache: "npm"
- run: npm ci
# Check quota before running integration tests
- name: Check ElevenLabs quota
env:
ELEVENLABS_API_KEY: ${{ secrets.ELEVENLABS_API_KEY }}
run: |
REMAINING=$(curl -s https://api.elevenlabs.io/v1/user \
-H "xi-api-key: ${ELEVENLABS_API_KEY}" | \
jq '.subscription | (.character_limit - .character_count)')
echo "Characters remaining: $REMAINING"
if [ "$REMAINING" -lt 5000 ]; then
echo "::warning::Low ElevenLabs quota ($REMAINING chars). Skipping integration tests."
echo "SKIP_INTEGRATION=true" >> $GITHUB_ENV
fi
- name: Run integration tests
if: env.SKIP_INTEGRATION != 'true'
env:
ELEVENLABS_API_KEY: ${{ secrets.ELEVENLABS_API_KEY }}
ELEVENLABS_INTEGRATION: "1"
run: npm run test:integration
```
### Step 2: Configure Repository Secrets
```bash
# Store API key as GitHub secret (use a test/dev key, NOT production)
gh secret set ELEVENLABS_API_KEY --body "sk_your_test_key_here"
# Optional: webhook secret for webhook tests
gh secret set ELEVENLABS_WEBHOOK_SECRET --body "whsec_your_secret_here"
```
### Step 3: Unit Test with SDK Mock
```typescript
// tests/unit/tts-service.test.ts
import { describe, it, expect, vi, beforeEach } from "vitest";
// Mock the entire SDK — no API calls, no quota usage
vi.mock("@elevenlabs/elevenlabs-js", () => ({
ElevenLabsClient: vi.fn().mockImplementation(() => ({
textToSpeech: {
convert: vi.fn().mockResolvedValue(
new ReadableStream({
start(controller) {
controller.enqueue(new Uint8Array([0xFF, 0xFB, 0x90, 0x00])); // MP3 header
controller.close();
},
})
),
stream: vi.fn().mockImplementation(async function* () {
yield new Uint8Array([0xFF, 0xFB, 0x90, 0x00]);
}),
},
voices: {
getAll: vi.fn().mockResolvedValue({
voices: [
{ voice_id: "21m00Tcm4TlvDq8ikWAM", name: "Rachel", category: "premade" },
],
}),
},
user: {
get: vi.fn().mockResolvedValue({
subscription: { tier: "pro", character_count: 1000, character_limit: 500000 },
}),
},
})),
}));
import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
describe("TTS Service", () => {
let client: InstanceType<typeof ElevenLabsClient>;
beforeEach(() => {
client = new ElevenLabsClient();
});
it("should call TTS with correct parameters", async () => {
await client.textToSpeech.convert("21m00Tcm4TlvDq8ikWAM", {
text: "Test speech",
model_id: "eleven_multilingual_v2",
voice_settings: { stability: 0.5, similarity_boost: 0.75 },
});
expect(client.textToSpeech.convert).toHaveBeenCalledWith(
"21m00Tcm4TlvDq8ikWAM",
expect.objectContaining({
text: "Test speech",
model_id: "eleven_multilingual_v2",
})
);
});
it("should handle voice listing", async () => {
const result = await client.voices.getAll();
expect(result.voices).toHaveLength(1);
expect(result.voices[0].name).toBe("Rachel");
});
});
```
### Step 4: Integration Test (Gated)
```typescript
// tests/integration/tts-smoke.test.ts
import { describe, it, expect } from "vitest";
const SKIP = !process.env.ELEVENLABS_INTEGRATION;
describe.skipIf(SKIP)("ElevenLabs Integration", () => {
it("should generate audio from text", async () => {
const { ElevenLabsClient } = await import("@elevenlabs/elevenlabs-js");
const client = new ElevenLabsClient();
// Use Flash model + short text to minimize quota usage
const audio = await client.textToSpeech.convert("21m00Tcm4TlvDq8ikWAM", {
text: "CI test.", // 8 characters = 4 credits (Flash)
model_id: "eleven_flash_v2_5",
output_format: "mp3_22050_32",
});
expect(audio).toBeDefined();
}, 30_000);
it("should list voices", async () => {
const { ElevenLabsClient } = await import("@elevenlabs/elevenlabs-js");
const client = new ElevenLabsClient();
const { voices } = await client.voices.getAll();
expect(voices.length).toBeGreaterThan(0);
});
});
```
### Step 5: Package Scripts
```json
{
"scripts": {
"test": "vitest run",
"test:watch": "vitest --watch",
"test:integration": "ELEVENLABS_INTEGRATION=1 vitest run tests/integration/",
"test:ci": "vitest run --coverage --reporter=junit --outputFile=test-results.xml"
}
}
```
## CI Strategy Summary
| Tier | When | API Key | Quota Cost | Coverage |
|------|------|---------|------------|----------|
| Unit tests | Every push/PR | Mock key | 0 characters | SDK integration patterns |
| Integration | Main + manual | Real test key | ~50 chars | End-to-end TTS verification |
| Quota check | Before integration | Real test key | 0 (GET only) | Prevents surprise billing |
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Secret not found in CI | Missing repository secret | `gh secret set ELEVENLABS_API_KEY` |
| Integration tests timeout | Slow TTS generation | Increase test timeout to 30s; use Flash model |
| Quota depleted in CI | Too many integration runs | Use quota guard; limit to main branch only |
| Mock drift | SDK API changed | Update mocks when upgrading SDK |
## Resources
- [GitHub Actions Secrets](https://docs.github.com/en/actions/security-guides/using-secrets-in-github-actions)
- [Vitest CI Configuration](https://vitest.dev/guide/ci.html)
- [ElevenLabs JS SDK](https://github.com/elevenlabs/elevenlabs-js)
## Next Steps
For deployment patterns, see `elevenlabs-deploy-integration`.Related Skills
running-integration-tests
Execute integration tests validating component interactions and system integration. Use when performing specialized testing. Trigger with phrases like "run integration tests", "test integration", or "validate component interactions".
workhuman-deploy-integration
Workhuman deploy integration for employee recognition and rewards API. Use when integrating Workhuman Social Recognition, or building recognition workflows with HRIS systems. Trigger: "workhuman deploy integration".
workhuman-ci-integration
Workhuman ci integration for employee recognition and rewards API. Use when integrating Workhuman Social Recognition, or building recognition workflows with HRIS systems. Trigger: "workhuman ci integration".
wispr-deploy-integration
Wispr Flow deploy integration for voice-to-text API integration. Use when integrating Wispr Flow dictation, WebSocket streaming, or building voice-powered applications. Trigger: "wispr deploy integration".
wispr-ci-integration
Wispr Flow ci integration for voice-to-text API integration. Use when integrating Wispr Flow dictation, WebSocket streaming, or building voice-powered applications. Trigger: "wispr ci integration".
windsurf-ci-integration
Integrate Windsurf Cascade workflows into CI/CD pipelines and team automation. Use when automating Cascade tasks in GitHub Actions, enforcing AI code quality gates, or setting up Windsurf config validation in CI. Trigger with phrases like "windsurf CI", "windsurf GitHub Actions", "windsurf automation", "cascade CI", "windsurf pipeline".
webflow-deploy-integration
Deploy Webflow-powered applications to Vercel, Fly.io, and Google Cloud Run with proper secrets management and Webflow-specific health checks. Trigger with phrases like "deploy webflow", "webflow Vercel", "webflow production deploy", "webflow Cloud Run", "webflow Fly.io".
webflow-ci-integration
Configure Webflow CI/CD with GitHub Actions — automated CMS validation, integration tests with test tokens, and publish-on-merge workflows. Use when setting up automated testing or CI pipelines for Webflow integrations. Trigger with phrases like "webflow CI", "webflow GitHub Actions", "webflow automated tests", "CI webflow", "webflow pipeline".
vercel-deploy-integration
Deploy and manage Vercel production deployments with promotion, rollback, and multi-region strategies. Use when deploying to production, configuring deployment regions, or setting up blue-green deployment patterns on Vercel. Trigger with phrases like "deploy vercel", "vercel production deploy", "vercel promote", "vercel rollback", "vercel regions".
veeva-deploy-integration
Veeva Vault deploy integration for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva deploy integration".
veeva-ci-integration
Veeva Vault ci integration for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva ci integration".
vastai-deploy-integration
Deploy ML training jobs and inference services on Vast.ai GPU cloud. Use when deploying GPU workloads, configuring Docker images, or setting up automated deployment scripts. Trigger with phrases like "deploy vastai", "vastai deployment", "vastai docker", "vastai production deploy".