Reference architectures for Lindy AI integrations. Use when designing systems, planning architecture, or implementing production patterns. Trigger with phrases like "lindy architecture", "lindy design", "lindy system design", "lindy patterns".
/plugin marketplace add jeremylongshore/claude-code-plugins-plus-skills/plugin install lindy-pack@claude-code-plugins-plusThis skill is limited to using the following tools:
Production-ready reference architectures for Lindy AI integrations.
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Client │────▶│ Backend │────▶│ Lindy AI │
│ (React) │◀────│ (Node.js) │◀────│ API │
└─────────────┘ └─────────────┘ └─────────────┘
// Simple backend integration
import express from 'express';
import { Lindy } from '@lindy-ai/sdk';
const app = express();
const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
app.post('/api/chat', async (req, res) => {
const { message, agentId } = req.body;
const result = await lindy.agents.run(agentId, { input: message });
res.json({ response: result.output });
});
┌──────────────────────────────────────────────────────────┐
│ Event Bus (Redis/SQS) │
└────┬─────────────────┬─────────────────┬────────────────┘
│ │ │
▼ ▼ ▼
┌─────────┐ ┌─────────┐ ┌─────────┐
│ Worker │ │ Worker │ │ Worker │
│ (Agent) │ │ (Agent) │ │ (Agent) │
└────┬────┘ └────┬────┘ └────┬────┘
│ │ │
└────────────────┼────────────────┘
▼
┌─────────────┐
│ Lindy AI │
│ API │
└─────────────┘
// Event-driven worker
import { Queue } from 'bullmq';
import { Lindy } from '@lindy-ai/sdk';
const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });
const queue = new Queue('lindy-tasks');
// Producer
async function enqueueTask(agentId: string, input: string) {
await queue.add('run-agent', { agentId, input });
}
// Consumer
const worker = new Worker('lindy-tasks', async (job) => {
const { agentId, input } = job.data;
const result = await lindy.agents.run(agentId, { input });
// Emit result event
await eventBus.publish('agent.completed', {
jobId: job.id,
result: result.output,
});
});
┌─────────────────┐
│ Orchestrator │
│ Agent │
└────────┬────────┘
│
┌─────────────────┼─────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Research │ │ Analysis │ │ Writing │
│ Agent │ │ Agent │ │ Agent │
└─────────────┘ └─────────────┘ └─────────────┘
// Multi-agent orchestrator
class AgentOrchestrator {
private lindy: Lindy;
private agents: Record<string, string> = {
research: 'agt_research',
analysis: 'agt_analysis',
writing: 'agt_writing',
orchestrator: 'agt_orchestrator',
};
async execute(task: string): Promise<string> {
// Step 1: Orchestrator plans the work
const plan = await this.lindy.agents.run(this.agents.orchestrator, {
input: `Plan steps for: ${task}`,
});
// Step 2: Execute each step
const steps = JSON.parse(plan.output);
const results: string[] = [];
for (const step of steps) {
const result = await this.lindy.agents.run(
this.agents[step.agent],
{ input: step.task }
);
results.push(result.output);
}
// Step 3: Synthesize results
const synthesis = await this.lindy.agents.run(this.agents.orchestrator, {
input: `Synthesize: ${results.join('\n')}`,
});
return synthesis.output;
}
}
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Load │────▶│ App │────▶│ Lindy │
│ Balancer │ │ Server 1 │ │ Primary │
└─────────────┘ └─────────────┘ └──────┬──────┘
│
┌─────────────┐ ┌──────▼──────┐
│ App │────▶│ Lindy │
│ Server 2 │ │ Fallback │
└─────────────┘ └─────────────┘
│
┌─────────────┐ ┌─────────────┐ │
│ Cache │◀────│ Shared │◀───────────┘
│ (Redis) │ │ State │
└─────────────┘ └─────────────┘
// HA client with failover
class HALindyClient {
private primary: Lindy;
private fallback: Lindy;
private cache: Redis;
async run(agentId: string, input: string) {
// Check cache first
const cached = await this.cache.get(`${agentId}:${input}`);
if (cached) return JSON.parse(cached);
try {
// Try primary
const result = await this.primary.agents.run(agentId, { input });
await this.cache.setex(`${agentId}:${input}`, 300, JSON.stringify(result));
return result;
} catch (error) {
// Fallback
console.warn('Primary failed, using fallback');
return this.fallback.agents.run(agentId, { input });
}
}
}
| Pattern | Failure Mode | Recovery |
|---|---|---|
| Basic | API error | Retry with backoff |
| Event-driven | Worker crash | Queue retry |
| Multi-agent | Step failure | Skip or fallback |
| HA | Primary down | Automatic failover |
Proceed to Flagship tier skills for enterprise features.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.