--- name: gamma-webhooks-events-7135b79b033a description: | Handle Gamma webhooks and events for real-time updates. Use when implementing webhook receivers, processing events, or building real-time Gamma integrations. Trigger with phrases like "gamma webhooks", "gamma events", "gamma notifications", "gamma real-time", "gamma callbacks". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore --- # Gamma Webhooks & Events ## Overview Implement webhook handlers and event processing for real-time Gamma updates. ## Prerequisites - Public endpoint for webhook delivery - Webhook secret from Gamma dashboard - Understanding of event-driven architecture ## Instructions ### Step 1: Register Webhook Endpoint ```typescript // Register via API const webhook = await gamma.webhooks.create({ url: 'https://your-app.com/webhooks/gamma', events: [ 'presentation.created', 'presentation.updated', 'presentation.exported', 'presentation.deleted', ], secret: process.env.GAMMA_WEBHOOK_SECRET, }); console.log('Webhook registered:', webhook.id); ``` ### Step 2: Create Webhook Handler ```typescript // routes/webhooks/gamma.ts import express from 'express'; import crypto from 'crypto'; const router = express.Router(); // Verify webhook signature function verifySignature(payload: string, signature: string): boolean { const secret = process.env.GAMMA_WEBHOOK_SECRET!; const expected = crypto .createHmac('sha256', secret) .update(payload) .digest('hex'); return crypto.timingSafeEqual( Buffer.from(signature), Buffer.from(`sha256=${expected}`) ); } router.post('/gamma', express.raw({ type: 'application/json' }), async (req, res) => { const signature = req.headers['x-gamma-signature'] as string; const payload = req.body.toString(); // Verify signature if (!verifySignature(payload, signature)) { return res.status(401).json({ error: 'Invalid signature' }); } // Parse event const event = JSON.parse(payload); // Acknowledge receipt quickly res.status(200).json({ received: true }); // Process event async await processEvent(event); } ); export default router; ``` ### Step 3: Event Processing ```typescript // services/gamma-events.ts interface GammaEvent { id: string; type: string; data: any; timestamp: string; } type EventHandler = (data: any) => Promise; const handlers: Record = { 'presentation.created': async (data) => { console.log('New presentation:', data.id); await notifyTeam(`New presentation created: ${data.title}`); await updateDatabase({ presentationId: data.id, status: 'created' }); }, 'presentation.updated': async (data) => { console.log('Presentation updated:', data.id); await updateDatabase({ presentationId: data.id, status: 'updated' }); }, 'presentation.exported': async (data) => { console.log('Export complete:', data.exportUrl); await sendExportNotification(data.userId, data.exportUrl); }, 'presentation.deleted': async (data) => { console.log('Presentation deleted:', data.id); await cleanupAssets(data.id); }, }; export async function processEvent(event: GammaEvent) { const handler = handlers[event.type]; if (!handler) { console.warn('Unhandled event type:', event.type); return; } try { await handler(event.data); await recordEventProcessed(event.id); } catch (err) { console.error('Event processing failed:', err); await recordEventFailed(event.id, err); } } ``` ### Step 4: Event Queue for Reliability ```typescript // services/event-queue.ts import Bull from 'bull'; const eventQueue = new Bull('gamma-events', { redis: process.env.REDIS_URL, }); // Add to queue instead of processing directly export async function queueEvent(event: GammaEvent) { await eventQueue.add(event, { attempts: 3, backoff: { type: 'exponential', delay: 5000, }, }); } // Process queue eventQueue.process(async (job) => { await processEvent(job.data); }); eventQueue.on('failed', (job, err) => { console.error(`Event ${job.id} failed:`, err.message); // Send to dead letter queue or alert }); ``` ### Step 5: Webhook Management ```typescript // List webhooks const webhooks = await gamma.webhooks.list(); // Update webhook await gamma.webhooks.update(webhookId, { events: ['presentation.created', 'presentation.exported'], }); // Delete webhook await gamma.webhooks.delete(webhookId); // Test webhook await gamma.webhooks.test(webhookId); ``` ## Event Types Reference | Event | Description | Payload | |-------|-------------|---------| | `presentation.created` | New presentation | id, title, userId | | `presentation.updated` | Slides modified | id, changes[] | | `presentation.exported` | Export completed | id, format, url | | `presentation.deleted` | Presentation removed | id | | `presentation.shared` | Sharing updated | id, shareSettings | ## Output - Verified webhook handler - Event processing pipeline - Reliable queue system - Webhook management API ## Error Handling | Error | Cause | Solution | |-------|-------|----------| | Invalid signature | Secret mismatch | Verify webhook secret | | Timeout | Slow processing | Use async queue | | Duplicate events | Retry delivery | Implement idempotency | | Missing events | Endpoint down | Use reliable hosting | ## Resources - [Gamma Webhooks Guide](https://gamma.app/docs/webhooks) - [Webhook Best Practices](https://gamma.app/docs/webhooks-best-practices) ## Next Steps Proceed to `gamma-performance-tuning` for optimization. --- Source attribution: Dicklesworthstone Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/gamma-pack/skills/gamma-webhooks-events/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License (with OpenAI/Anthropic Rider) Copyright (c) 2026 Jeffrey Emanuel Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: ADDITIONAL RIDER / RESTRICTION (OpenAI / Anthropic): This rider is part of the "conditions" of this License. In the event of any conflict between this rider and any other portion of this License, this rider controls. "Restricted Parties" means OpenAI, L.L.C.; Anthropic, PBC; any of their respective Affiliates; and any person or entity acting directly or indirectly on behalf of, for the benefit of, or under the direction of any of the foregoing (including any officer, director, employee, contractor, agent, consultant, service provider, or representative). Notwithstanding any other provision of this License, no rights are granted to any Restricted Party. Any purported license, sublicense, assignment, transfer, or other permission to any Restricted Party is null and void absent the express prior written permission of Jeffrey Emanuel. You may not provide, disclose, distribute, sublicense, sell, lease, lend, host, make available, or otherwise permit access to the Software or any derivative work of the Software (as defined in applicable copyright law) (collectively, "Derivative Works") to or for any Restricted Party. For purposes of this rider, "use" includes, without limitation: copying, modifying, merging, publishing, distributing, sublicensing, selling, transferring, making available, hosting, deploying, executing, benchmarking, testing, analyzing, indexing, or incorporating the Software or any Derivative Works into any dataset, training corpus, evaluation harness, or pipeline for machine learning or other automated systems. This rider applies to the Software and all Derivative Works. As a condition of use, you agree that this rider is a precondition to exercising any rights under this License, and you agree that any distribution of the Software or any Derivative Works must include this rider provision unmodified. Any breach of this rider automatically and immediately terminates the permissions granted by this License. Upon termination, you must immediately cease all use and distribution of the Software and any Derivative Works and destroy all copies under your control. You agree that a breach of this rider would cause irreparable harm and that Jeffrey Emanuel may seek injunctive or other equitable relief to enforce this rider, in addition to any other remedies available at law. To the maximum extent permitted by applicable law, the prevailing party in any action to enforce this rider shall be entitled to recover reasonable attorneys' fees and costs. For purposes of this rider, "Affiliate" means any entity that directly or indirectly controls, is controlled by, or is under common control with the specified party. "Control" means ownership of more than 50% of the voting securities or other ownership interest, or the power to direct management or policies by contract or otherwise. The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: Dicklesworthstone Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/gamma-pack/skills/gamma-webhooks-events/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering, Product Management Roles: Backend Developer, DevOps / SRE, Growth Product Manager Specialties: API, Backend Tools: Gamma Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: f1deeec929ac58678c4c4a75dd9b29dc9ec3ce79dc69e1a8a71f7353fbdf1d1e