Claude Skills by jeremylongshore

'Production-ready Clari API client patterns in Python and TypeScript.

'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.

"Debug complex Claude issues \u2014 inconsistent outputs, tool use failures,\n\

"Build different types of Claude-powered applications \u2014 chatbots,\

"Test and validate Claude integrations in CI/CD pipelines \u2014\nUse\

"Diagnose and fix Anthropic API errors \u2014 authentication, rate limits,\n\

'Redirect to claude-model-inference for Messages API streaming,

'Redirect to claude-embeddings-search for tool use (function calling)

"Optimize Anthropic API costs \u2014 model selection, prompt caching,\

"Handle sensitive data with Claude \u2014 PII redaction, conversation\

"Collect debug evidence for Anthropic API issues \u2014 request IDs,\

'Deploy Claude-powered applications to Vercel, Fly.io, and Cloud Run

'Implement tool use (function calling) with Claude to let it execute

'Manage Anthropic workspaces, API keys, team access, and spending limits

'Send your first message to Claude using the Anthropic SDK.

"Respond to Anthropic API incidents \u2014 outages, degraded performance,\n\

'Install and configure the Anthropic SDK for Claude API access.

'Common mistakes when building with the Anthropic API and how to avoid

"Scale Claude usage for high-throughput applications \u2014 batches,\

"Set up a fast local development loop for building with the Anthropic\

"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.

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

'Choose and implement Clay integration architecture for different scales

'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.