clay-ci-integration
Configure CI/CD pipelines for Clay integrations with automated testing and validation. Use when setting up automated tests for Clay webhook handlers, validating enrichment data quality in CI, or integrating Clay checks into your build process. Trigger with phrases like "clay CI", "clay GitHub Actions", "clay automated tests", "CI clay", "test clay integration".
Best use case
clay-ci-integration is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Configure CI/CD pipelines for Clay integrations with automated testing and validation. Use when setting up automated tests for Clay webhook handlers, validating enrichment data quality in CI, or integrating Clay checks into your build process. Trigger with phrases like "clay CI", "clay GitHub Actions", "clay automated tests", "CI clay", "test clay integration".
Teams using clay-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/clay-ci-integration/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clay-ci-integration Compares
| Feature / Agent | clay-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 Clay integrations with automated testing and validation. Use when setting up automated tests for Clay webhook handlers, validating enrichment data quality in CI, or integrating Clay checks into your build process. Trigger with phrases like "clay CI", "clay GitHub Actions", "clay automated tests", "CI clay", "test clay 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.
Related Guides
SKILL.md Source
# Clay CI Integration
## Overview
Set up CI/CD pipelines for Clay-powered applications. Since Clay is a web platform (not a local service), CI focuses on: (1) testing webhook handler code, (2) validating data transformation logic, (3) checking enrichment data schema compliance, and (4) optional live integration tests against Clay's API.
## Prerequisites
- GitHub repository with Actions enabled
- Clay webhook URL stored as GitHub secret
- Node.js/Python project with test framework
## Instructions
### Step 1: Create GitHub Actions Workflow
```yaml
# .github/workflows/clay-integration.yml
name: Clay Integration Tests
on:
push:
branches: [main]
pull_request:
branches: [main]
env:
CLAY_WEBHOOK_URL: ${{ secrets.CLAY_WEBHOOK_URL }}
CLAY_API_KEY: ${{ secrets.CLAY_API_KEY }}
jobs:
unit-tests:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'npm'
- run: npm ci
- run: npm test -- --coverage
env:
# No Clay credentials needed for unit tests (use mocks)
CLAY_WEBHOOK_URL: "https://mock.webhook.test"
data-validation:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'npm'
- run: npm ci
- name: Validate input data schemas
run: npx tsx scripts/validate-clay-schemas.ts
- name: Check for PII in test fixtures
run: |
if grep -rn '@gmail.com\|@yahoo.com\|@hotmail.com' test/fixtures/; then
echo "ERROR: Real email addresses found in test fixtures"
exit 1
fi
integration-tests:
runs-on: ubuntu-latest
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
needs: [unit-tests]
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: '20'
cache: 'npm'
- run: npm ci
- name: Test webhook connectivity
run: |
HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" \
-X POST "$CLAY_WEBHOOK_URL" \
-H "Content-Type: application/json" \
-d '{"_ci_test": true, "_run_id": "${{ github.run_id }}"}')
if [ "$HTTP_CODE" != "200" ]; then
echo "Webhook connectivity check failed: HTTP $HTTP_CODE"
exit 1
fi
```
### Step 2: Configure Secrets
```bash
# Store Clay credentials as GitHub secrets
gh secret set CLAY_WEBHOOK_URL --body "https://app.clay.com/api/v1/webhooks/your-id"
gh secret set CLAY_API_KEY --body "clay_ent_your_key" # Enterprise only
```
### Step 3: Write Unit Tests for Clay Handlers
```typescript
// tests/clay-handler.test.ts
import { describe, it, expect, vi } from 'vitest';
import { processEnrichedData, validateWebhookPayload } from '../src/clay/handler';
describe('Clay Webhook Handler', () => {
it('should process enriched data correctly', () => {
const payload = {
email: 'jane@stripe.com',
company_name: 'Stripe',
job_title: 'VP Engineering',
employee_count: 8000,
industry: 'Financial Technology',
};
const result = processEnrichedData(payload);
expect(result.icp_score).toBeGreaterThan(0);
expect(result.company_name).toBe('Stripe');
});
it('should reject payloads missing required fields', () => {
const invalid = { company_name: 'Test Corp' }; // Missing email
expect(() => validateWebhookPayload(invalid)).toThrow('Missing required field: email');
});
it('should handle empty enrichment gracefully', () => {
const partial = {
email: 'test@unknown.com',
company_name: null,
job_title: null,
employee_count: null,
};
const result = processEnrichedData(partial);
expect(result.icp_score).toBe(0);
expect(result.enrichment_complete).toBe(false);
});
});
describe('Input Validation', () => {
it('should filter personal email domains', () => {
const rows = [
{ domain: 'stripe.com', email: 'ceo@stripe.com' },
{ domain: 'gmail.com', email: 'user@gmail.com' },
];
const valid = rows.filter(r => !['gmail.com', 'yahoo.com'].includes(r.domain));
expect(valid).toHaveLength(1);
expect(valid[0].domain).toBe('stripe.com');
});
});
```
### Step 4: Add Data Schema Validation
```typescript
// scripts/validate-clay-schemas.ts
import { z } from 'zod';
const ClayEnrichedRowSchema = z.object({
email: z.string().email(),
domain: z.string().min(3),
company_name: z.string().nullable(),
job_title: z.string().nullable(),
employee_count: z.number().nullable(),
industry: z.string().nullable(),
linkedin_url: z.string().url().nullable(),
});
const ClayWebhookInputSchema = z.object({
domain: z.string().min(3).refine(d => d.includes('.'), 'Must contain a dot'),
first_name: z.string().min(1),
last_name: z.string().min(1),
email: z.string().email().optional(),
source: z.string().optional(),
});
// Validate test fixtures match expected schemas
console.log('Validating Clay schemas...');
// Run against test fixtures, mock data, etc.
console.log('All schemas valid.');
```
### Step 5: Credit Budget Guard in CI
```yaml
# Add to workflow to prevent accidental high-volume runs
- name: Check credit budget
run: |
MAX_ROWS=10 # CI should never enrich more than 10 test rows
ROWS_TO_SEND=$(wc -l < test/fixtures/test-leads.csv)
if [ "$ROWS_TO_SEND" -gt "$MAX_ROWS" ]; then
echo "ERROR: Test fixture has $ROWS_TO_SEND rows (max: $MAX_ROWS)"
echo "Integration tests should use minimal data to avoid credit waste"
exit 1
fi
```
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Webhook test fails in CI | Secret not configured | Add `CLAY_WEBHOOK_URL` via `gh secret set` |
| Tests pass locally, fail in CI | Missing mock for Clay calls | Use vitest mocks for unit tests |
| Integration test flaky | Clay API latency varies | Add retry logic, increase timeout |
| Credit waste in CI | Test sends too many rows | Add MAX_ROWS guard, use minimal fixtures |
## Resources
- [GitHub Actions Documentation](https://docs.github.com/en/actions)
- [Vitest Documentation](https://vitest.dev/)
## Next Steps
For deployment patterns, see `clay-deploy-integration`.Related Skills
clay-sdk-patterns
Apply production-ready patterns for integrating with Clay via webhooks and HTTP API. Use when building Clay integrations, implementing webhook handlers, or establishing team coding standards for Clay data pipelines. Trigger with phrases like "clay SDK patterns", "clay best practices", "clay code patterns", "clay integration patterns", "clay webhook patterns".
clay-reliability-patterns
Build fault-tolerant Clay integrations with circuit breakers, dead letter queues, and graceful degradation. Use when building production Clay pipelines that need resilience, implementing retry strategies, or adding fault tolerance to enrichment workflows. Trigger with phrases like "clay reliability", "clay circuit breaker", "clay resilience", "clay fallback", "clay fault tolerance", "clay dead letter queue".
clay-reference-architecture
Design production Clay enrichment pipelines with table schemas, waterfall patterns, and CRM sync. Use when architecting new Clay integrations, reviewing data flow design, or establishing enrichment pipeline standards. Trigger with phrases like "clay architecture", "clay best practices", "clay pipeline design", "clay reference", "clay data flow".
clay-rate-limits
Handle Clay rate limits, webhook throttling, and credit pacing strategies. Use when hitting 429 errors, managing webhook submission rates, or optimizing throughput within Clay's plan limits. Trigger with phrases like "clay rate limit", "clay throttling", "clay 429", "clay slow", "clay records per hour".
clay-prod-checklist
Execute production readiness checklist for Clay integrations. Use when launching Clay-powered enrichment pipelines, preparing for go-live, or auditing production Clay configurations. Trigger with phrases like "clay production", "clay go-live", "clay launch checklist", "clay production readiness", "deploy clay pipeline".
clay-policy-guardrails
Implement credit spending limits, data privacy enforcement, and input validation guardrails for Clay pipelines. Use when enforcing spending caps, blocking PII enrichment, or adding pre-enrichment validation rules. Trigger with phrases like "clay policy", "clay guardrails", "clay spending limit", "clay data privacy rules", "clay validation", "clay controls".
clay-performance-tuning
Optimize Clay table enrichment throughput, reduce processing time, and improve hit rates. Use when experiencing slow enrichment, poor email find rates, or needing to process large tables efficiently. Trigger with phrases like "clay performance", "optimize clay", "clay slow", "clay throughput", "clay fast enrichment", "clay batch optimization".
clay-observability
Monitor Clay enrichment pipeline health, credit consumption, and data quality metrics. Use when setting up dashboards for Clay operations, configuring alerts for credit burn, or tracking enrichment success rates. Trigger with phrases like "clay monitoring", "clay metrics", "clay observability", "monitor clay", "clay alerts", "clay dashboard", "clay credit tracking".
clay-multi-env-setup
Configure Clay integrations across development, staging, and production environments. Use when setting up per-environment Clay tables, managing webhook URLs per environment, or implementing environment-specific enrichment configurations. Trigger with phrases like "clay environments", "clay staging", "clay dev prod", "clay environment setup", "clay config by env".
clay-migration-deep-dive
Migrate to Clay from other enrichment tools or consolidate multiple data sources into Clay. Use when migrating from ZoomInfo, Apollo, Clearbit, or custom enrichment scripts to Clay, or consolidating fragmented enrichment workflows. Trigger with phrases like "migrate to clay", "clay migration", "switch to clay", "replace zoominfo with clay", "consolidate enrichment tools".
clay-local-dev-loop
Set up a local development loop for building and testing Clay integrations. Use when iterating on Clay webhook handlers, testing enrichment pipelines, or building scripts that push data into Clay tables. Trigger with phrases like "clay local dev", "clay development setup", "clay testing locally", "clay dev workflow", "iterate clay integration".
clay-load-scale
Scale Clay enrichment pipelines for high-volume processing (10K-100K+ leads/month). Use when planning capacity for large enrichment runs, optimizing batch processing, or designing high-volume Clay architectures. Trigger with phrases like "clay scale", "clay high volume", "clay large batch", "clay capacity planning", "clay 100k leads", "clay bulk enrichment".