Skill UI

Automated assistant for planning and implementing webhook retry handlers within API integration workflows, offering best practices and production-ready code or configuration validation.

Teaches how to steer OpenAI, Anthropic, Google, and local LLMs into emitting validated JSON/enums by defining strict schemas, prompting for data extraction, handling validation failures, and building retry/logging pipelines.

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.

Implements rate limiting and throttling controls via token bucket, sliding window, and fixed window strategies with Redis counters, gateway plugins, or middleware, returning HTTP 429/Retry-After to defend auth and API endpoints from brute force, abuse, and resource exhaustion.

Master the art of developing robust and scalable Python applications that interface with Microsoft Dataverse. This skill covers implementing enterprise-grade best practices, including comprehensive error handling using DataverseError hierarchy, advanced retry logic with exponential backoff, and optimizing API calls using OData standards (filtering, selecting, and expanding). It ensures code is clean, maintainable, and production-ready.