--- name: ideogram-prod-checklist-ba07b18d38a4 description: | Execute Ideogram production deployment checklist and rollback procedures. Use when deploying Ideogram integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases like "ideogram production", "deploy ideogram", "ideogram go-live", "ideogram launch checklist". allowed-tools: Read, Bash(kubectl:*), Bash(curl:*), Grep version: 1.0.0 license: MIT author: Jeremy Longshore --- # Ideogram Production Checklist ## Overview Complete checklist for deploying Ideogram integrations to production. ## Prerequisites - Staging environment tested and verified - Production API keys available - Deployment pipeline configured - Monitoring and alerting ready ## Instructions ### Step 1: Pre-Deployment Configuration - [ ] Production API keys in secure vault - [ ] Environment variables set in deployment platform - [ ] API key scopes are minimal (least privilege) - [ ] Webhook endpoints configured with HTTPS - [ ] Webhook secrets stored securely ### Step 2: Code Quality Verification - [ ] All tests passing (`npm test`) - [ ] No hardcoded credentials - [ ] Error handling covers all Ideogram error types - [ ] Rate limiting/backoff implemented - [ ] Logging is production-appropriate ### Step 3: Infrastructure Setup - [ ] Health check endpoint includes Ideogram connectivity - [ ] Monitoring/alerting configured - [ ] Circuit breaker pattern implemented - [ ] Graceful degradation configured ### Step 4: Documentation Requirements - [ ] Incident runbook created - [ ] Key rotation procedure documented - [ ] Rollback procedure documented - [ ] On-call escalation path defined ### Step 5: Deploy with Gradual Rollout ```bash # Pre-flight checks curl -f https://staging.example.com/health curl -s https://status.ideogram.com # Gradual rollout - start with canary (10%) kubectl apply -f k8s/production.yaml kubectl set image deployment/ideogram-integration app=image:new --record kubectl rollout pause deployment/ideogram-integration # Monitor canary traffic for 10 minutes sleep 600 # Check error rates and latency before continuing # If healthy, continue rollout to 50% kubectl rollout resume deployment/ideogram-integration kubectl rollout pause deployment/ideogram-integration sleep 300 # Complete rollout to 100% kubectl rollout resume deployment/ideogram-integration kubectl rollout status deployment/ideogram-integration ``` ## Output - Deployed Ideogram integration - Health checks passing - Monitoring active - Rollback procedure documented ## Error Handling | Alert | Condition | Severity | |-------|-----------|----------| | API Down | 5xx errors > 10/min | P1 | | High Latency | p99 > 5000ms | P2 | | Rate Limited | 429 errors > 5/min | P2 | | Auth Failures | 401/403 errors > 0 | P1 | ## Examples ### Health Check Implementation ```typescript async function healthCheck(): Promise<{ status: string; ideogram: any }> { const start = Date.now(); try { await ideogramClient.ping(); return { status: 'healthy', ideogram: { connected: true, latencyMs: Date.now() - start } }; } catch (error) { return { status: 'degraded', ideogram: { connected: false, latencyMs: Date.now() - start } }; } } ``` ### Immediate Rollback ```bash kubectl rollout undo deployment/ideogram-integration kubectl rollout status deployment/ideogram-integration ``` ## Resources - [Ideogram Status](https://status.ideogram.com) - [Ideogram Support](https://docs.ideogram.com/support) ## Next Steps For version upgrades, see `ideogram-upgrade-migration`. --- Source attribution: Dicklesworthstone Original project: https://github.com/Dicklesworthstone/pi_agent_rust/blob/f28fc46ee0db8e710d95b8b55592cd38d60f2b26/tests/ext_conformance/artifacts/plugins-community/plugins/saas-packs/ideogram-pack/skills/ideogram-prod-checklist/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/ideogram-pack/skills/ideogram-prod-checklist/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering, Product Management Roles: Backend Developer, DevOps / SRE, Product Manager Specialties: Backend, DevOps Tools: Curl, Kubectl Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 72cba3ab70468c410f0bd093eb2a9ef97f5d578d24284457408a8794c81a13c8