
Claude Skills by jeremylongshore
github.com/jeremylongshore'Execute Canva Connect API incident response with triage, mitigation,
'Set up Canva Connect API OAuth 2.0 PKCE authentication and project scaffolding.
'Identify and avoid Canva Connect API anti-patterns and common integration
'Implement Canva Connect API load testing, auto-scaling, and capacity
'Configure Canva Connect API local development with hot reload and mock
'Execute major Canva Connect API integration migrations with strangler
'Configure Canva Connect API across development, staging, and production
'Set up observability for Canva Connect API integrations with metrics,
'Optimize Canva Connect API performance with caching, pagination, and
'Implement Canva Connect API lint rules, policy enforcement, and automated
'Execute Canva Connect API production deployment checklist and go-live
'Handle Canva Connect API rate limits with backoff, queuing, and monitoring.
'Implement Canva Connect API reference architecture with best-practice
"Implement reliability patterns for Canva Connect API \u2014 circuit\
'Apply production-ready Canva Connect API client patterns for TypeScript
'Apply Canva Connect API security best practices for OAuth tokens and
'Plan and execute Canva Connect API version upgrades and breaking change
'Implement Canva Connect API webhook handling with JWK signature verification.
'Integrate CAST AI policy validation and cost checks into CI/CD pipelines.
'Diagnose and fix CAST AI agent, API, and autoscaler errors.
'Configure CAST AI autoscaler policies and node templates for cost optimization.
'Configure CAST AI Workload Autoscaler for pod-level right-sizing and
'Maximize Kubernetes cost savings with CAST AI spot strategies and right-sizing.
'Collect CAST AI diagnostic bundle for support tickets and troubleshooting.
'Deploy CAST AI across multi-cloud Kubernetes clusters with Terraform
'Query CAST AI cluster savings report and node inventory.
'Install and configure CAST AI agent on a Kubernetes cluster with API
'Set up a local Kubernetes development loop with CAST AI cost monitoring.
'Optimize CAST AI autoscaler performance, node provisioning speed, and
'Production readiness checklist for CAST AI cluster onboarding.
'Handle CAST AI API rate limits with backoff and request queuing.
'CAST AI reference architecture for multi-cluster Kubernetes cost optimization.
'Production-ready CAST AI REST API wrapper patterns in TypeScript and
'Secure CAST AI API keys, RBAC configuration, and Kvisor security agent.
'Upgrade CAST AI Helm charts, Terraform provider, and agent components.
'Configure CAST AI webhook notifications for cluster events and audit
'Integrate Clari export pipeline testing and validation into CI/CD.
'Diagnose and fix Clari API errors including auth failures, export issues,
'Build a Clari forecast export pipeline to your data warehouse.
'Build Clari revenue analytics: pipeline coverage, forecast accuracy,
'Optimize Clari API usage and integration costs.
'Collect Clari API diagnostic info for support cases.
'Deploy Clari export pipelines to production with Airflow, Cloud Functions,
'Export your first Clari forecast and pipeline snapshot.
'Configure Clari API authentication with API key and set up export access.
'Set up local development for Clari API integrations with mock data.
'Optimize Clari API performance with caching, batch exports, and data
'Production readiness checklist for Clari API integrations.
'Handle Clari API rate limits with backoff and export job scheduling.
'Reference architecture for Clari revenue intelligence integrations.