Skill UI

Guides Cursor IDE users through context window limits, targeted @-mentions, and conversation resets so AI assistants deliver accurate, fast responses without overflowing memory.

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.

Guides developers through diagnosing Lindy AI SDK incidents, covering authentication, rate limits, agent, and tool failures, plus checklists and resources for integration troubleshooting.

Guides Lindy AI developers through API and agent action rate limit handling, covering request throttling, agent budgets, webhook controls, and error recovery to keep integrations stable.

Provides a quick reference for diagnosing and fixing common Mistral AI errors, including authentication issues, rate limits, invalid parameters, payload limits, service outages, and timeouts, with concrete logging checks, retry logic, and remediation code snippets.

A concise reference for spotting and avoiding Perplexity Sonar anti-patterns during reviews, onboarding, or audits, covering citation parsing, model selection, recency handling, and context limits so integrations stay accurate and cost-effective.