Claude Skills by jeremylongshore

"Migrate from OpenAI/GPT to Anthropic/Claude \u2014 API differences,\n\

'Stream Claude responses, use system prompts, handle multi-turn conversations,

'Configure Claude across dev, staging, and production with different

"Monitor Claude API calls \u2014 log tokens, latency, costs, errors,\

"Optimize Anthropic API latency \u2014 streaming, prompt caching, model\

"Implement content safety guardrails for Claude \u2014 input filtering,\n\

"Production readiness checklist for Claude-powered applications \u2014\

"Handle Anthropic rate limits \u2014 understand tiers, implement backoff,\n\

"Build Claude Code plugins \u2014 skills, agents, MCP servers, hooks,\

"Build fault-tolerant Claude integrations \u2014 retries, circuit breakers,\n\

"Production-ready Anthropic SDK patterns \u2014 client config, retries,\

"Secure your Anthropic integration \u2014 API key management, input validation,\n\

'Upgrade Anthropic SDK versions and migrate between Claude model generations.

'Use Anthropic Message Batches for async bulk processing and event handling.

'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.

'Secure Clari API tokens and implement data handling best practices.

'Handle Clari API version changes and export schema migrations.

'Monitor Clari forecast changes using export job polling and change detection.

'Execute self-learning system that captures corrections during sessions

'Deep-debug complex Clay enrichment failures, provider degradation, and

'Configure CI/CD pipelines for Clay integrations with automated testing

'Diagnose and fix the most common Clay errors and integration issues.

'Build a complete lead enrichment pipeline using Clay tables, webhooks,

'Use Claygent AI research and AI-powered personalization to generate

'Optimize Clay credit spending with provider key management, waterfall

'Implement GDPR/CCPA-compliant data handling for Clay enrichment pipelines.

'Collect Clay debug evidence for support tickets and troubleshooting.

'Deploy Clay-powered applications to Vercel, Cloud Run, or Docker with

'Configure Clay workspace roles, team access control, and credit budget

'Send your first record to Clay and get enriched data back.

'Execute Clay incident response procedures for enrichment failures, credit

'Set up Clay account access, API keys, webhook URLs, and provider connections.

'Identify and avoid the top Clay anti-patterns, gotchas, and integration

'Scale Clay enrichment pipelines for high-volume processing (10K-100K+

'Set up a local development loop for building and testing Clay integrations.

'Migrate to Clay from other enrichment tools or consolidate multiple

'Configure Clay integrations across development, staging, and production