--- name: gamma-common-errors-b904ca8e9bf6 description: | Debug and resolve common Gamma API errors. Use when encountering authentication failures, rate limits, generation errors, or unexpected API responses. Trigger with phrases like "gamma error", "gamma not working", "gamma API error", "gamma debug", "gamma troubleshoot". allowed-tools: Read, Write, Edit, Grep version: 1.0.0 license: MIT author: Jeremy Longshore --- # Gamma Common Errors ## Overview Reference guide for debugging and resolving common Gamma API errors. ## Prerequisites - Active Gamma integration - Access to logs and error messages - Understanding of HTTP status codes ## Error Reference ### Authentication Errors (401/403) ```typescript // Error: Invalid API Key { "error": "unauthorized", "message": "Invalid or expired API key" } ``` **Solutions:** 1. Verify API key in Gamma dashboard 2. Check environment variable is set: `echo $GAMMA_API_KEY` 3. Ensure key hasn't been rotated 4. Check for trailing whitespace in key ### Rate Limit Errors (429) ```typescript // Error: Rate Limited { "error": "rate_limited", "message": "Too many requests", "retry_after": 60 } ``` **Solutions:** 1. Implement exponential backoff 2. Check rate limit headers: `X-RateLimit-Remaining` 3. Upgrade plan for higher limits 4. Queue requests with delays ```typescript async function withRetry(fn: () => Promise, maxRetries = 3) { for (let i = 0; i < maxRetries; i++) { try { return await fn(); } catch (err) { if (err.code === 'rate_limited' && i < maxRetries - 1) { const delay = (err.retryAfter || Math.pow(2, i)) * 1000; await new Promise(r => setTimeout(r, delay)); continue; } throw err; } } } ``` ### Generation Errors (400/500) ```typescript // Error: Generation Failed { "error": "generation_failed", "message": "Unable to generate presentation", "details": "Content too complex" } ``` **Solutions:** 1. Simplify prompt or reduce slide count 2. Remove special characters from content 3. Check content length limits 4. Try different style setting ### Timeout Errors ```typescript // Error: Request Timeout { "error": "timeout", "message": "Request timed out after 30000ms" } ``` **Solutions:** 1. Increase client timeout setting 2. Use async job pattern for large presentations 3. Check network connectivity 4. Reduce request complexity ```typescript const gamma = new GammaClient({ apiKey: process.env.GAMMA_API_KEY, timeout: 60000, // 60 seconds }); ``` ### Export Errors ```typescript // Error: Export Failed { "error": "export_failed", "message": "Unable to export presentation", "format": "pdf" } ``` **Solutions:** 1. Verify presentation exists and is complete 2. Check supported export formats 3. Ensure no pending generation jobs 4. Try exporting with lower quality setting ## Debugging Tools ### Enable Debug Logging ```typescript const gamma = new GammaClient({ apiKey: process.env.GAMMA_API_KEY, debug: true, // Logs all requests/responses }); ``` ### Check API Status ```typescript const status = await gamma.status(); console.log('API Status:', status.healthy ? 'OK' : 'Issues'); console.log('Services:', status.services); ``` ## Error Handling Pattern ```typescript import { GammaError, RateLimitError, AuthError } from '@gamma/sdk'; try { const result = await gamma.presentations.create({ ... }); } catch (err) { if (err instanceof AuthError) { console.error('Check your API key'); } else if (err instanceof RateLimitError) { console.error(`Retry after ${err.retryAfter}s`); } else if (err instanceof GammaError) { console.error('API Error:', err.message); } else { throw err; } } ``` ## Resources - [Gamma Status Page](https://status.gamma.app) - [Gamma Error Codes](https://gamma.app/docs/errors) - [Gamma Support](https://gamma.app/support) ## Next Steps Proceed to `gamma-debug-bundle` for comprehensive debugging tools. --- 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-common-errors/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-common-errors/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering, Product Management, Customer Support Roles: Backend Developer, Product Manager, Technical Support Specialties: API, Backend Tools: Gamma Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 1a92fa2080ddd979472bea991003ceb53a87db8da5f32d46d5e8ef738c698728