Automate workflows with Svelte and Claude AI. Ideal for operations teams to streamline processes, integrate with existing systems, and enhance productivity. Connects to TypeScript-based tools and workflows.
git clone https://github.com/spences10/svelte-claude-skills.gitAutomate workflows with Svelte and Claude AI. Ideal for operations teams to streamline processes, integrate with existing systems, and enhance productivity. Connects to TypeScript-based tools and workflows.
1. **Define Your Workflow Goal:** Replace [FRAMEWORK/LIBRARY], [DESCRIBE GOAL], and [SPECIFIC API/SERVICE] in the prompt template with your specific use case (e.g., sync data between tools, validate inputs, or generate reports). 2. **Customize the Code Structure:** Use the example output as a template to adapt the Svelte frontend, TypeScript processing layer, and error handling to your needs. Replace placeholder APIs (e.g., Salesforce, HubSpot) with your actual integrations. 3. **Set Up Environment Variables:** Configure API keys, webhooks, and other secrets in your deployment environment (e.g., Vercel, Netlify). Use the `.env.example` file in the template to guide you. 4. **Deploy and Test:** Push your code to a Git repository, connect it to your deployment platform (e.g., Vercel), and trigger the workflow manually or via a schedule. Test edge cases (e.g., API rate limits, invalid data) to ensure robustness. 5. **Monitor and Iterate:** Use the Svelte frontend to monitor workflow status and errors. Refine the logic based on feedback and new requirements. For advanced users, add logging (e.g., Sentry) or analytics (e.g., Mixpanel) to track performance.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/spences10/svelte-claude-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Build a Svelte-based automation workflow using [FRAMEWORK/LIBRARY] to [DESCRIBE GOAL: e.g., 'sync customer data from Salesforce to HubSpot', 'generate weekly reports from Jira tickets', or 'validate and cleanse product inventory data']. The workflow should include: 1) A TypeScript-based data processing layer, 2) A Svelte frontend for user interaction or monitoring, 3) Error handling and logging for [SPECIFIC ERROR CASES, e.g., 'API rate limits', 'missing fields', or 'invalid formats'], and 4) Integration with [SPECIFIC API/SERVICE, e.g., 'Zapier', 'Airtable', or 'PostgreSQL']. Use [CODE_STYLE_GUIDE, e.g., 'functional programming principles', 'modular components', or 'state management with Svelte stores']. Provide the complete code structure and explain how to deploy it to [TARGET_ENVIRONMENT, e.g., 'Vercel', 'Netlify', or 'AWS Lambda'].
Here’s a Svelte-based automation workflow that syncs customer data from Salesforce to HubSpot, designed for a mid-sized SaaS company’s operations team. The workflow includes a TypeScript processing layer, a Svelte frontend for monitoring sync status, and robust error handling for API rate limits and missing fields. It’s deployed to Vercel for scalability.
**Workflow Overview:**
- **Data Source:** Salesforce (via REST API)
- **Destination:** HubSpot (via REST API)
- **Trigger:** Daily at 9 AM UTC
- **Error Handling:** Retry failed records 3 times, log errors to a Slack channel, and notify the ops team via email.
**Code Structure:**
```svelte
<!-- src/routes/+page.svelte -->
<script lang="ts">
import { onMount } from 'svelte';
import { syncStatus } from '$lib/stores/syncStore';
import SyncButton from '$lib/components/SyncButton.svelte';
import ErrorLog from '$lib/components/ErrorLog.svelte';
let lastSyncTime: string;
let recordsProcessed: number;
let errors: Array<{ recordId: string; error: string }>;
onMount(async () => {
const response = await fetch('/api/sync-status');
const data = await response.json();
syncStatus.set(data.status);
lastSyncTime = data.lastSyncTime;
recordsProcessed = data.recordsProcessed;
errors = data.errors || [];
});
</script>
<main>
<h1>Customer Data Sync</h1>
<SyncButton />
<p>Last sync: {lastSyncTime || 'Never'}</p>
<p>Records processed: {recordsProcessed || 0}</p>
<ErrorLog {errors} />
</main>
```
**TypeScript Processing Layer (src/lib/server/sync.ts):**
```typescript
import { SalesforceClient } from 'salesforce-api-wrapper';
import { HubSpotClient } from 'hubspot-api-wrapper';
export async function syncCustomerData() {
const sfClient = new SalesforceClient(process.env.SF_API_KEY);
const hsClient = new HubSpotClient(process.env.HS_API_KEY);
const records = await sfClient.query('SELECT Id, Name, Email FROM Contact');
let processed = 0;
const errors: Array<{ recordId: string; error: string }> = [];
for (const record of records) {
try {
await hsClient.createContact({
email: record.Email,
firstname: record.Name.split(' ')[0],
lastname: record.Name.split(' ').slice(1).join(' '),
});
processed++;
} catch (error) {
errors.push({ recordId: record.Id, error: error.message });
if (errors.length >= 10) break; // Stop after 10 errors to avoid spam
}
}
return { processed, errors };
}
```
**Deployment:**
1. Push the code to a GitHub repository.
2. Connect the repo to Vercel and configure environment variables (`SF_API_KEY`, `HS_API_KEY`, `SLACK_WEBHOOK_URL`).
3. Set up a cron job in Vercel to trigger the sync daily at 9 AM UTC.
4. Monitor the sync status via the Svelte frontend at `https://your-app.vercel.app`.
**Error Handling:**
- Failed records are logged to a Slack channel (`#data-sync-errors`) and emailed to the ops team.
- The frontend displays the last sync time, records processed, and a list of errors for troubleshooting.
This workflow reduces manual data entry by 90% and ensures customer data is always up-to-date across platforms.Real-time collaboration features for SaaS products
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