clade-ci-integration
Test and validate Claude integrations in CI/CD pipelines — Use when working with ci-integration patterns. GitHub Actions, mocking strategies, and cost control. Trigger with "anthropic ci", "test claude in ci", "anthropic github actions", "claude automated testing".
What this skill does
# Anthropic CI Integration
## Overview
Testing Claude integrations in CI requires handling API keys securely, mocking for unit tests, and making real calls only in integration tests.
## GitHub Actions Setup
```yaml
# .github/workflows/test.yml
name: Test Claude Integration
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
- run: npm ci
# Unit tests — no API key needed (mocked)
- run: npm run test:unit
# Integration tests — real API calls
- run: npm run test:integration
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
```
## Mock Strategy for Unit Tests
```typescript
// tests/helpers/mock-anthropic.ts
import { vi } from 'vitest';
export function mockAnthropicClient() {
return {
messages: {
create: vi.fn().mockResolvedValue({
id: 'msg_mock',
type: 'message',
role: 'assistant',
model: 'claude-sonnet-4-20250514',
content: [{ type: 'text', text: 'Mock response' }],
stop_reason: 'end_turn',
usage: { input_tokens: 10, output_tokens: 5 },
}),
stream: vi.fn().mockReturnValue({
async *[Symbol.asyncIterator]() {
yield { type: 'content_block_delta', delta: { type: 'text_delta', text: 'Mock' } };
},
finalMessage: vi.fn().mockResolvedValue({ usage: { input_tokens: 10, output_tokens: 5 } }),
}),
},
};
}
// In your test:
import { mockAnthropicClient } from './helpers/mock-anthropic';
test('summarize function returns text', async () => {
const client = mockAnthropicClient();
const result = await summarize(client, 'Some long text...');
expect(result).toBe('Mock response');
expect(client.messages.create).toHaveBeenCalledWith(
expect.objectContaining({ model: 'claude-sonnet-4-20250514' })
);
});
```
## Integration Test (Real API)
```typescript
// tests/integration/claude.test.ts
import Anthropic from '@claude-ai/sdk';
import { describe, test, expect } from 'vitest';
describe('Claude API Integration', () => {
const client = new Anthropic(); // Uses ANTHROPIC_API_KEY env var
test('messages.create returns valid response', async () => {
const message = await client.messages.create({
model: 'claude-haiku-4-5-20251001', // Cheapest for CI
max_tokens: 50,
messages: [{ role: 'user', content: 'Say "test passed" in 2 words.' }],
});
expect(message.content[0].type).toBe('text');
expect(message.stop_reason).toBe('end_turn');
expect(message.usage.output_tokens).toBeGreaterThan(0);
}, 30_000); // 30s timeout for API calls
});
```
## Cost Control in CI
| Strategy | How |
|----------|-----|
| Use Haiku only | Cheapest model, fast |
| Limit max_tokens | `max_tokens: 50` for validation tests |
| Skip on PRs from forks | Don't expose API key to untrusted code |
| Run integration tests only on main | `if: github.ref == 'refs/heads/main'` |
| Budget cap | Set spending limits in Anthropic console |
## Output
- GitHub Actions workflow running unit tests (mocked, no API key needed)
- Integration tests making real Claude API calls on main branch
- Mock client returning realistic response shapes for unit tests
- CI costs controlled via Haiku model and tight max_tokens
## Error Handling
| Error | Cause | Solution |
|-------|-------|----------|
| API Error | Check error type and status code | See `clade-common-errors` |
## Examples
See GitHub Actions YAML, Mock Strategy with Vitest, Integration Test with real API, and Cost Control table above.
## Resources
- GitHub Actions Secrets
- Anthropic SDK
## Next Steps
See `clade-deploy-integration` for deploying to production.
## Prerequisites
- GitHub repository with Actions enabled
- `ANTHROPIC_API_KEY` stored as GitHub Actions secret
- Test framework installed (Vitest, Jest, or pytest)
## Instructions
### Step 1: Review the patterns below
Each section contains production-ready code examples. Copy and adapt them to your use case.
### Step 2: Apply to your codebase
Integrate the patterns that match your requirements. Test each change individually.
### Step 3: Verify
Run your test suite to confirm the integration works correctly.
Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.