Skill UI

A comprehensive, AI-assisted methodology for diagnosing complex software errors in production environments. This skill guides users through the entire debugging lifecycle, from initial triage and gathering observability data (Sentry, DataDog, Jaeger) to generating hypotheses, selecting appropriate debugging strategies (Time-Travel, Chaos Engineering), and performing AI-powered root cause analysis. It culminates in proposing validated fixes and prevention measures.

This skill provides guidance on implementing robust error handling strategies to build highly resilient applications. It covers advanced patterns such as circuit breakers, retries, and handling asynchronous errors, ensuring that the application fails gracefully and provides excellent debugging experiences for both developers and end-users.

A comprehensive toolkit designed to debug and troubleshoot Evernote API integrations. It provides deep logging of requests, responses, and timings. Features include an instrumented client wrapper for zero-config tracing, ENML content validation with auto-fix capabilities, and token inspection utilities to diagnose connectivity issues and quota limits.

A comprehensive diagnostic tool designed for deep debugging of complex Exa system issues. It systematically checks multiple layers (DNS, Authentication, Neural Search, Content Retrieval, etc.) and provides detailed latency profiling (p50, p95) to pinpoint performance bottlenecks or intermittent failures. Use this when standard troubleshooting steps fail or when preparing detailed evidence for support escalation.

A comprehensive guide to diagnosing and resolving common errors and status codes (400, 401, 429, etc.) encountered when integrating with the Exa API. Provides specific solutions for malformed requests, authentication failures, rate limit issues, and content fetching errors, ensuring smooth API debugging and integration.

A comprehensive guide and code implementation for setting up observability, metrics, and alerting for Exa search integrations. This skill tracks crucial KPIs such as search latency (P50/P95), error rates, result usage, and cache hit ratios. It is essential for monitoring search quality, debugging performance bottlenecks, and managing API resource usage in production environments.

A systematic guide for debugging complex, hard-to-diagnose issues with Firecrawl. Use this when standard troubleshooting fails, such as when scrapes return empty content, crawl jobs hang indefinitely, or webhooks fail to fire. It employs layer-by-layer isolation techniques, covering API connectivity, target URL accessibility, and content quality to pinpoint failure points.

A comprehensive quick-reference guide for diagnosing and fixing common Firecrawl API errors and response codes. Covers critical issues such as API key validation (401), rate limiting (429), credit exhaustion (402), and handling dynamic content rendering failures in Single Page Applications (SPA). Use this when debugging failed web scraping or crawl job runs.

This comprehensive guide serves as a quick reference for diagnosing and fixing common errors encountered when interacting with the Fireflies.ai GraphQL API. It covers specific error codes (e.g., authentication failure, rate limits, invalid parameters) and provides actionable fixes, diagnostic scripts, and schema introspection techniques, ensuring seamless API integration and rapid troubleshooting.

A comprehensive reference guide for developers to debug and resolve common errors encountered when integrating with the Gamma API. Covers specific error codes such as authentication failures (401/403), rate limit issues (429), content generation failures, and timeouts. Provides detailed solutions, best practices, and code snippets for robust error handling and reliable API usage.

A comprehensive toolkit designed to systematically diagnose and troubleshoot integration issues with the Gamma API. It includes scripts for connectivity testing, authentication validation, latency measurement, and checking various API endpoints (themes, folders, generations) across both Bash and TypeScript environments. Essential for developers ensuring reliable API connections.

A comprehensive guide to production-grade concurrency patterns in Go. It details the proper use of goroutines, channels, sync primitives, and context management. Use this skill when building highly concurrent applications, implementing worker pools, managing goroutine lifecycles, or debugging race conditions in Go.