
Claude Skills by jeremylongshore
github.com/jeremylongshore'Generate your first Gamma presentation via the API.
'Manage incident response for Gamma integration issues.
'Set up Gamma API v1.0 authentication and first request.
'Set up local development workflow for Gamma API integration.
'Deep dive into migrating to Gamma from other presentation platforms.
'Configure Gamma across development, staging, and production environments.
'Implement comprehensive observability for Gamma integrations.
'Optimize Gamma API performance and reduce latency.
'Production readiness checklist for Gamma integration.
'Understand and manage Gamma API rate limits effectively.
'Reference architecture for enterprise Gamma integrations.
'Reusable patterns for the Gamma REST API (no SDK exists).
'Implement security best practices for Gamma integration.
'Upgrade Gamma SDK versions and migrate between API versions.
'Handle Gamma webhooks and events for real-time updates.
'CI/CD for Glean connectors with automated indexing tests and search
'Diagnose and fix common Glean API errors including indexing failures,
'Execute Glean primary workflow: search, chat, and AI-powered answers
'Execute Glean secondary workflow: bulk document indexing, custom datasource
'Optimize Glean costs by managing indexed content volume, datasource
'PII filtering: strip emails, phone numbers, SSNs from document body
'Collect Glean diagnostic information for support including datasource
'Deploy Glean custom connectors as scheduled jobs on Cloud Run, Lambda,
'Map AD/Okta groups to Glean document permissions using allowedGroups.
'Index documents into Glean and search them back using the Indexing and
'Triage: Is search returning results? Check Glean status page.
'Install and configure Glean API authentication with indexing and client
'Configure Glean local development with mock search responses, test datasources,
'Migrate from Elasticsearch/Algolia: 1) Export all documents from source,
'Use separate datasource names per environment (wiki_staging vs wiki_prod).
'Track: documents indexed per run (total + new + updated + deleted),
'Optimize Glean search relevance and indexing throughput with batch sizing,
'Pre-launch: All datasources indexed and searchable.
'Glean Indexing API: ~100 requests/min per token.
'Enterprise architecture: Source Systems to Connectors (Cloud Run/Lambda,
'Apply production-ready Glean API patterns with typed clients, batch
'Token security: Indexing tokens have write access -- never expose in
'Check Glean developer changelog for API changes.
'Implement event-driven Glean indexing triggered by source system webhooks
'Configure Grammarly CI/CD integration with GitHub Actions and testing.
'Diagnose and fix Grammarly common errors and exceptions.
'Execute Grammarly primary workflow: Core Workflow A.
'Execute Grammarly secondary workflow: Core Workflow B.
'Optimize Grammarly costs through tier selection, sampling, and usage
'Implement Grammarly data handling patterns for document processing.
'Collect Grammarly debug evidence for support tickets and troubleshooting.
'Deploy Grammarly integrations to Vercel, Fly.io, and Cloud Run platforms.
'Configure Grammarly enterprise role-based access control.
'Create a minimal working Grammarly example.
'Follow Grammarly incident response runbook for API outages.