clay-architecture-variants
Choose and implement Clay integration architecture for different scales and use cases. Use when designing new Clay integrations, comparing direct vs queue-based vs event-driven, or planning architecture for Clay-powered data operations. Trigger with phrases like "clay architecture", "clay blueprint", "how to structure clay", "clay integration design", "clay event-driven".
Best use case
clay-architecture-variants is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Choose and implement Clay integration architecture for different scales and use cases. Use when designing new Clay integrations, comparing direct vs queue-based vs event-driven, or planning architecture for Clay-powered data operations. Trigger with phrases like "clay architecture", "clay blueprint", "how to structure clay", "clay integration design", "clay event-driven".
Teams using clay-architecture-variants 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-architecture-variants/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How clay-architecture-variants Compares
| Feature / Agent | clay-architecture-variants | 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?
Choose and implement Clay integration architecture for different scales and use cases. Use when designing new Clay integrations, comparing direct vs queue-based vs event-driven, or planning architecture for Clay-powered data operations. Trigger with phrases like "clay architecture", "clay blueprint", "how to structure clay", "clay integration design", "clay event-driven".
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
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
# Clay Architecture Variants
## Overview
Three proven architecture patterns for Clay data enrichment at different scales. Clay is a hosted SaaS -- your architecture decisions focus on how you send data in (webhooks), how you get enriched data out (HTTP API columns, CRM sync, or CSV export), and how you orchestrate the flow.
## Prerequisites
- Clay account with appropriate plan tier
- Clear understanding of data volume and latency requirements
- Infrastructure for chosen architecture tier (if queue-based or event-driven)
## Instructions
### Architecture 1: Direct Integration (Simple)
**Best for:** Small teams, < 1K enrichments/day, ad-hoc usage.
```
┌──────────────┐ webhook ┌───────────┐
│ Your App │───────POST─────>│ Clay Table │
│ (or CSV) │ │ (enriches) │
└──────────────┘ └─────┬─────┘
│
CRM action
or CSV export
│
v
┌───────────┐
│ CRM / DB │
└───────────┘
```
```typescript
// Direct: send leads synchronously, export results manually
async function directEnrich(leads: Lead[]): Promise<void> {
for (const lead of leads) {
await fetch(process.env.CLAY_WEBHOOK_URL!, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(lead),
});
await new Promise(r => setTimeout(r, 250)); // Rate limit
}
console.log(`Sent ${leads.length} leads. Check Clay table for enriched data.`);
// Enriched data reaches CRM via Clay's native CRM action column
}
```
**Pros:** Zero infrastructure, 5-minute setup, works on all Clay plans.
**Cons:** No retry logic, no programmatic access to enriched data, manual export only.
---
### Architecture 2: Webhook-in, HTTP API-out (Standard)
**Best for:** Growing teams, 1K-10K enrichments/day, CRM integration.
```
┌──────────────┐ webhook ┌───────────┐ HTTP API col ┌──────────────┐
│ Your App │───────POST─────>│ Clay Table │──────POST──────>│ Your Webhook │
│ │ │ (enriches) │ │ Handler │
└──────────────┘ └───────────┘ └──────┬───────┘
│
Process +
Route
│
┌───────────┼───────────┐
│ │ │
v v v
┌─────┐ ┌───────┐ ┌──────┐
│ CRM │ │Outreach│ │ DB │
└─────┘ └───────┘ └──────┘
```
```typescript
// Standard: send leads via webhook, receive enriched data via HTTP API column
// Inbound: Your app -> Clay
async function sendLeads(leads: Lead[]): Promise<void> {
const batchResult = await clayClient.sendBatch(leads, 200);
console.log(`Sent: ${batchResult.sent}, Failed: ${batchResult.failed}`);
}
// Outbound: Clay HTTP API column -> Your webhook handler
app.post('/api/clay/enriched', async (req, res) => {
res.json({ ok: true }); // Respond fast
const lead = req.body;
if (lead.icp_score >= 80 && lead.work_email) {
await pushToCRM(lead);
await addToOutreachSequence(lead);
} else if (lead.icp_score >= 50) {
await addToNurtureCampaign(lead);
}
});
```
**Pros:** Full automation, programmatic access to enriched data, flexible routing.
**Cons:** Requires Growth plan (HTTP API columns), needs public HTTPS endpoint.
---
### Architecture 3: Queue-Based Pipeline (Scale)
**Best for:** Enterprise, 10K+ enrichments/day, multiple data sources.
```
┌───────────┐
│ Web Forms │──┐
└───────────┘ │ ┌───────────┐ webhook ┌───────────┐
├────>│ Job Queue │───────POST─────>│ Clay Table │
┌───────────┐ │ │ (BullMQ) │ │ (enriches) │
│ CRM Events│──┘ └───────────┘ └─────┬─────┘
└───────────┘ │ │
DLQ on fail HTTP API col
┌───────────┐ │ │
│ CSV Import│──────────────┘ v
└───────────┘ ┌──────────────┐
│ Your Handler │
│ (w/ circuit │
│ breaker) │
└──────┬───────┘
│
┌──────────┼──────────┐
│ │ │
v v v
┌─────┐ ┌───────┐ ┌──────┐
│ CRM │ │Outreach│ │ DWH │
└─────┘ └───────┘ └──────┘
```
```typescript
// Scale: queue-based with DLQ, circuit breaker, and multi-source intake
import { Queue, Worker } from 'bullmq';
const enrichQueue = new Queue('clay-enrichment');
// Multiple sources feed the queue
async function onWebFormSubmit(lead: Lead) {
await enrichQueue.add('web-form', { ...lead, source: 'web-form' });
}
async function onCRMEvent(lead: Lead) {
await enrichQueue.add('crm-event', { ...lead, source: 'crm-event' });
}
async function onCSVImport(leads: Lead[]) {
for (const lead of leads) {
await enrichQueue.add('csv-import', { ...lead, source: 'csv-import' });
}
}
// Worker sends to Clay with rate limiting and circuit breaker
const worker = new Worker('clay-enrichment', async (job) => {
const { allowed, reason } = circuitBreaker.canProcess(6);
if (!allowed) throw new Error(`Circuit open: ${reason}`);
const res = await fetch(process.env.CLAY_WEBHOOK_URL!, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(job.data),
});
if (!res.ok) throw new Error(`Clay webhook failed: ${res.status}`);
circuitBreaker.recordSuccess(6);
}, {
concurrency: 1,
limiter: { max: 5, duration: 1000 }, // 5 per second max
});
```
**Pros:** Handles any volume, automatic retries, DLQ for failures, multi-source.
**Cons:** Requires queue infrastructure (Redis), more complex to operate.
## Decision Matrix
| Factor | Direct | Webhook + HTTP API | Queue-Based |
|--------|--------|-------------------|-------------|
| Volume | < 1K/day | 1K-10K/day | 10K+/day |
| Plan required | Any | Growth+ | Growth+ |
| Infrastructure | None | HTTPS endpoint | Redis + HTTPS endpoint |
| Retry logic | Manual | In-app | Automatic (BullMQ) |
| Data access | CSV export only | Real-time callback | Real-time callback |
| CRM sync | Clay native action | HTTP API column | HTTP API column |
| Complexity | Low | Medium | High |
| Time to implement | Hours | Days | 1-2 weeks |
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| Need real-time enriched data | Using Direct (CSV only) | Upgrade to Webhook + HTTP API |
| Queue backing up | Webhook rate limiting | Reduce concurrency, add delay |
| HTTP API column timeout | Callback endpoint slow | Respond 200 immediately, process async |
| Credits exhausted mid-pipeline | No budget control | Add circuit breaker with credit limit |
## Resources
- [Clay University -- HTTP API Integration](https://university.clay.com/docs/http-api-integration-overview)
- [Clay University -- Using Clay as an API](https://www.clay.com/university/guide/using-clay-as-an-api)
- [BullMQ Documentation](https://docs.bullmq.io/)
## Next Steps
For common pitfalls to avoid, see `clay-known-pitfalls`.Related Skills
workhuman-reference-architecture
Workhuman reference architecture for employee recognition and rewards API. Use when integrating Workhuman Social Recognition, or building recognition workflows with HRIS systems. Trigger: "workhuman reference architecture".
wispr-reference-architecture
Wispr Flow reference architecture for voice-to-text API integration. Use when integrating Wispr Flow dictation, WebSocket streaming, or building voice-powered applications. Trigger: "wispr reference architecture".
windsurf-reference-architecture
Implement Windsurf reference architecture with optimal project structure and AI configuration. Use when designing workspace configuration for Windsurf, setting up team standards, or establishing architecture patterns that maximize Cascade effectiveness. Trigger with phrases like "windsurf architecture", "windsurf project structure", "windsurf best practices", "windsurf team setup", "optimize for cascade".
windsurf-architecture-variants
Choose workspace architectures for different project scales in Windsurf. Use when deciding how to structure Windsurf workspaces for monorepos, multi-service setups, or polyglot codebases. Trigger with phrases like "windsurf workspace strategy", "windsurf monorepo", "windsurf project layout", "windsurf multi-service", "windsurf workspace size".
webflow-reference-architecture
Implement Webflow reference architecture — layered project structure, client wrapper, CMS sync service, webhook handlers, and caching layer for production integrations. Trigger with phrases like "webflow architecture", "webflow project structure", "how to organize webflow", "webflow integration design", "webflow best practices".
vercel-reference-architecture
Implement a Vercel reference architecture with layered project structure and best practices. Use when designing new Vercel projects, reviewing project structure, or establishing architecture standards for Vercel applications. Trigger with phrases like "vercel architecture", "vercel project structure", "vercel best practices layout", "how to organize vercel project".
vercel-architecture-variants
Choose and implement Vercel architecture blueprints for different scales and use cases. Use when designing new Vercel projects, choosing between static, serverless, and edge architectures, or planning how to structure a multi-project Vercel deployment. Trigger with phrases like "vercel architecture", "vercel blueprint", "how to structure vercel", "vercel monorepo", "vercel multi-project".
veeva-reference-architecture
Veeva Vault reference architecture for REST API and clinical operations. Use when working with Veeva Vault document management and CRM. Trigger: "veeva reference architecture".
vastai-reference-architecture
Implement Vast.ai reference architecture for GPU compute workflows. Use when designing ML training pipelines, structuring GPU orchestration, or establishing architecture patterns for Vast.ai applications. Trigger with phrases like "vastai architecture", "vastai design pattern", "vastai project structure", "vastai ml pipeline".
twinmind-reference-architecture
Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind reference architecture", "twinmind reference architecture".
together-reference-architecture
Together AI reference architecture for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together reference architecture".
techsmith-reference-architecture
TechSmith reference architecture for Snagit COM API and Camtasia automation. Use when working with TechSmith screen capture and video editing automation. Trigger: "techsmith reference architecture".