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intercom-reference-architecture【设计与创意】Implement Intercom reference architecture with layered project structure. Use when designing new Intercom integrations, reviewing project structure, or establishing architecture standards for Intercom applications. Trigger with phrases like "intercom architecture", "intercom project structure", "how to organize intercom", "intercom layout", "intercom…
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name: intercom-reference-architecture description: 'Implement Intercom reference architecture with layered project structure.
Use when designing new Intercom integrations, reviewing project structure,
or establishing architecture standards for Intercom applications.
Trigger with phrases like "intercom architecture", "intercom project structure",
"how to organize intercom", "intercom layout", "intercom design patterns".
' allowed-tools: Read, Grep version: 1.6.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:
A production-ready reference architecture for Intercom integrations built on four layers — API/webhook, service, Intercom client, and infrastructure — with type-safe SDK usage, webhook processing, contact sync, and Help Center management. Use it to scaffold a new integration or to review an existing one against a known-good structure.
The layers (top to bottom): the API / Webhook layer (Express routes, webhook
endpoints) calls into the service layer (contacts, conversations, articles —
business logic and orchestration), which calls the Intercom client layer (a
singleton intercom-client SDK wrapper with typed errors, caching, and rate
limit handling), all resting on infrastructure (Redis cache, job queue,
monitoring). Keeping dependencies flowing strictly downward is what prevents the
circular imports and test-isolation problems listed under Error Handling.
intercom-client npm package
installed.INTERCOM_ACCESS_TOKEN environment variable (see
Step 1). Create one under Intercom → Developer Hub → your app →
Authentication. Never commit it; load it from the environment.X-Hub-Signature header on inbound webhook POSTs.Use Read/Grep to inspect the current project layout, then build each layer
in order — the client layer is the dependency root for every service.
Client layer (src/intercom/client.ts) — a lazy singleton
getClient() that reads INTERCOM_ACCESS_TOKEN once, plus an
IntercomServiceError that wraps raw SDK errors into a typed, retry-aware
shape. Skeleton:
let instance: IntercomClient | null = null;
export function getClient(): IntercomClient {
if (!instance) {
const token = process.env.INTERCOM_ACCESS_TOKEN;
if (!token) throw new Error("INTERCOM_ACCESS_TOKEN required");
instance = new IntercomClient({ token });
}
return instance;
}
Contacts service (src/services/contacts.service.ts) —
findOrCreate (search-before-create to avoid 409s), syncFromCRM,
mergeLead, and a searchAll async generator for cursor pagination.
Conversations service (src/services/conversations.service.ts) —
replyAsAdmin, addNote, closeWithMessage, and a scoped open-queue
search.
Articles service (src/services/articles.service.ts) — Help Center
article create/list, defaulting new articles to draft.
Wire the data flow — Intercom pushes events to your webhook router; the service layer makes API calls back and persists to your database + cache.
The full project tree, every service method, and the layer/data-flow diagrams are in the full implementation walkthrough; the complete directory layout is in project-structure.md.
Applying this skill produces a layered Intercom integration:
src/intercom/ client layer (singleton SDK wrapper + typed errors).src/services/ layer with contacts, conversations, and articles services.src/webhooks/, src/sync/, src/api/, and src/cache/ directories wired
to the layers above.config/ files and a tests/ tree with unit + integration
suites.When used to review an existing project, the output is a gap report: which layers exist, which are missing, and where dependency direction is violated.
| Issue | Cause | Solution |
|---|---|---|
| Circular dependencies | Service A imports B imports A | Use dependency injection |
| Client initialization race | Async token fetch | Lazy singleton pattern |
| Cache inconsistency | Stale data after update | Webhook-driven invalidation |
| Test isolation | Shared SDK state | resetClient() in beforeEach |
401 Unauthorized | Missing/invalid INTERCOM_ACCESS_TOKEN | Verify the env var is loaded before getClient() |
429 Too Many Requests | Rate limit exceeded | Retry with backoff — IntercomServiceError.retryable is true here |
Once the client and service layers exist, wiring them together is a few lines — sync a CRM user, reply to and close a conversation, page through contacts, or publish an article:
const contacts = new ContactsService();
const contact = await contacts.syncFromCRM({
id: "crm_8842", email: "ada@example.com", name: "Ada Lovelace",
plan: "enterprise", company: "Analytical Engines Ltd",
});
See examples.md for the full set of runnable usage snippets (conversation reply/close, paginated search, Help Center publish).
For multi-environment configuration and deployment, see the
intercom-multi-env-setup skill, which extends the config/ layer described
above into per-environment credential and rate-limit management.