attio-reference-architecture
Production reference architecture for Attio CRM integrations -- layered project structure, sync patterns, webhook processing, and multi-environment setup. Trigger: "attio architecture", "attio best practices", "attio project structure", "how to organize attio", "attio integration design".
Best use case
attio-reference-architecture is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Production reference architecture for Attio CRM integrations -- layered project structure, sync patterns, webhook processing, and multi-environment setup. Trigger: "attio architecture", "attio best practices", "attio project structure", "how to organize attio", "attio integration design".
Teams using attio-reference-architecture 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/attio-reference-architecture/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How attio-reference-architecture Compares
| Feature / Agent | attio-reference-architecture | 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?
Production reference architecture for Attio CRM integrations -- layered project structure, sync patterns, webhook processing, and multi-environment setup. Trigger: "attio architecture", "attio best practices", "attio project structure", "how to organize attio", "attio integration design".
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.
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SKILL.md Source
# Attio Reference Architecture
## Overview
Production architecture for CRM integrations with the Attio REST API (`https://api.attio.com/v2`). Designed for contact enrichment pipelines, deal tracking across custom lists, bi-directional activity sync with external systems, and workspace isolation for multi-tenant deployments. Key design drivers: webhook-driven data freshness, idempotent upserts via PUT assertions, schema-aware caching, and layered separation between API client, business logic, and infrastructure.
## Architecture Diagram
```
Your App ──→ Service Layer ──→ Cache (Redis) ──→ Attio REST API v2
↓ /objects/people/records
Queue (p-queue) ──→ Sync Worker /lists/{slug}/entries
↓ /notes, /tasks
Webhook Handler ←── Attio Events /webhooks
↓
External CRM Sync ──→ HubSpot/Salesforce
```
## Service Layer
```typescript
class ContactService {
constructor(private client: AttioClient, private cache: CacheLayer) {}
async findByEmail(email: string): Promise<AttioRecord | null> {
const res = await this.client.post('/objects/people/records/query', { filter: { email_addresses: email }, limit: 1 });
return res.data[0] || null;
}
async upsertPerson(data: { email: string; firstName: string; lastName: string }): Promise<AttioRecord> {
const res = await this.client.put('/objects/people/records', {
data: { values: { email_addresses: [data.email], name: [{ first_name: data.firstName, last_name: data.lastName }] } }
});
await this.cache.invalidate(`person:${data.email}`);
return res.data;
}
async addToPipeline(recordId: string, listSlug: string, stage: string): Promise<void> {
await this.client.post(`/lists/${listSlug}/entries`, {
data: { parent_record_id: recordId, parent_object: 'people', values: { stage: [{ status: stage }] } }
});
}
}
```
## Caching Strategy
```typescript
const CACHE_CONFIG = {
schema: { ttl: 1800, prefix: 'schema' }, // 30 min — object/attribute definitions change rarely
records: { ttl: 300, prefix: 'record' }, // 5 min — webhook-driven invalidation handles freshness
lists: { ttl: 120, prefix: 'list' }, // 2 min — deal pipeline stages need near-real-time
notes: { ttl: 60, prefix: 'note' }, // 1 min — activity feed freshness
};
// Webhook events (record.updated, list-entry.created) flush matching cache keys immediately
```
## Event Pipeline
```typescript
class AttioEventPipeline {
private queue = new Bull('attio-events', { redis: process.env.REDIS_URL });
async onWebhook(event: AttioWebhookEvent): Promise<void> {
await this.queue.add(event.event_type, event, { attempts: 3, backoff: { type: 'exponential', delay: 2000 } });
}
async processRecordEvent(event: AttioWebhookEvent): Promise<void> {
if (event.event_type === 'record.created') await this.syncToExternalCRM(event.record!.id.record_id);
if (event.event_type === 'record.updated') await this.cache.invalidate(`record:${event.record!.id.record_id}`);
if (event.event_type === 'record.merged') await this.reconcileMergedRecords(event);
}
async processListEntryEvent(event: AttioWebhookEvent): Promise<void> {
if (event.event_type === 'list-entry.created') await this.triggerPipelineAutomation(event);
}
}
```
## Data Model
```typescript
interface AttioRecord { id: { record_id: string; object_id: string }; values: Record<string, AttioValue[]>; created_at: string; }
interface AttioValue { attribute_type: string; [key: string]: unknown; }
interface AttioWebhookEvent { event_type: string; object?: { api_slug: string }; record?: AttioRecord; list_entry?: { entry_id: string }; }
interface SyncState { objectSlug: string; lastSyncOffset: number; lastFullSync: string; recordCount: number; }
```
## Scaling Considerations
- Partition sync workers by Attio object type (people, companies, deals) to isolate rate limits
- Use webhook-driven invalidation rather than polling — Attio delivers events within seconds
- Batch record queries with `/records/query` pagination (500 per page) for full sync
- Schema cache (30 min TTL) prevents redundant attribute lookups on every record access
- Rate-limit outbound writes with p-queue to stay within Attio's per-workspace concurrency limits
## Error Handling
| Component | Failure Mode | Recovery |
|-----------|-------------|----------|
| Contact upsert | Attio 429 rate limit | p-queue backoff with jitter, per-object circuit breaker |
| Webhook handler | Duplicate event delivery | Idempotency key on record_id + event_type + timestamp |
| Bi-directional sync | Both sides updated same record | Last-write-wins with conflict resolution queue |
| Schema cache | Stale attribute definitions | Webhook-driven invalidation, fallback to fresh fetch |
| External CRM sync | HubSpot API timeout | Queue retry with dead-letter, manual reconciliation flag |
## Resources
- [Attio REST API Overview](https://docs.attio.com/rest-api/overview)
- [Attio Objects and Lists](https://docs.attio.com/docs/objects-and-lists)
- [Attio Webhooks Guide](https://docs.attio.com/rest-api/guides/webhooks)
- [Attio Developer Platform](https://attio.com/platform/developers)
## Next Steps
See `attio-deploy-integration`.Related Skills
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