Skill UI

Establish circuit breakers, caching, retries, fallback chains, and quality monitoring for Exa neural search integrations so production services stay resilient under rate limits, empty results, or slow responses.

Sets up Groq LLM API clients for development, staging, and production tiers with tailored models, retries, and rate-limit handling so deployments stay aligned with each environment’s speed and cost profile.

Provides production-ready Groq SDK patterns for TypeScript and Python, covering singleton clients, safe error handling, retries, and validation to guide Groq integrations or SDK refactors.

Instructor turns LLM responses into validated structured data with Pydantic schemas, automatic retries on failed extractions, complex JSON parsing, and streaming partial results across OpenAI and Anthropic.

Provides production-ready TypeScript and Python patterns for TwinMind AI memory and meeting intelligence REST APIs, covering authenticated clients, memory storage/retrieval, meeting context creation, batching, and rate-limit aware retries to standardize integrations.

Intelligent reliability wrapper that monitors agent tool calls, retries failures, heals malformed responses, and checkpoint-resumes interrupted chains so your workflows recover automatically without hand-coded retry logic.