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".
What this skill does
# 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.claRelated in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.