Skill UI

Implement comprehensive observability for Canva Connect API integrations using industry best practices. This guide covers gathering critical metrics (latency, error rates, rate limits) with Prometheus, implementing distributed tracing with OpenTelemetry, and setting up robust alert rules. Essential for monitoring API health, optimizing performance, and ensuring system reliability in SaaS environments.

This skill provides comprehensive observability for ClickUp API integrations. It instruments API calls to capture key metrics like request rate, latency percentiles, error counts, and rate limit usage. It integrates with Prometheus for metrics, OpenTelemetry for distributed tracing, and structured logging for detailed event tracking. Use it to build robust dashboards and set up critical alerts for API performance issues.

A comprehensive solution for setting up production-grade observability for Cohere API v2. It integrates Prometheus metrics, OpenTelemetry tracing, and robust alerting mechanisms. This skill tracks critical operational data including per-endpoint latency, token consumption (input/output), error rates, and usage costs, ensuring reliable monitoring for AI-powered applications.

This guide provides advanced, deep debugging techniques for complex Figma REST API issues that resist standard error handling. It covers full network tracing (cURL), validating unexpected response shapes (TypeScript), measuring rate limits, and safely chunking large files. Use this when standard troubleshooting fails, or detailed evidence is required for support escalation.

This skill provides a comprehensive observability stack for Flexport logistics integrations. It sets up Prometheus metrics for API health tracking, uses structured logging (pino) for debugging, implements OpenTelemetry tracing for latency analysis, and defines actionable Grafana dashboards and alert rules. This ensures reliable, performant, and fully monitored logistics operations.

This comprehensive skill guides developers on implementing full observability for HubSpot API integrations. It details how to instrument calls using industry-standard tools, including Prometheus metrics (Counters, Histograms, Gauges), OpenTelemetry tracing, structured logging (pino), and configuring AlertManager rules. Use this when needing to monitor CRM integration health, track latency, detect errors, or manage rate limits for mission-critical API operations.

This skill provides a comprehensive guide to setting up full observability for Intercom integrations. It covers implementing Prometheus metrics (counters, histograms, gauges) to track API request status, latency, and error rates. Furthermore, it demonstrates structured logging using Pino and OpenTelemetry tracing, offering deep, actionable insights into integration health. Ideal for DevOps, backend engineering, and robust system monitoring.

This skill integrates LangChain 1.0 and LangGraph 1.0 into standard OpenTelemetry (OTEL) backends (e.g., Jaeger, Honeycomb, Tempo). It solves critical observability gaps by ensuring correct prompt content capture, propagating spans across complex subgraphs, and providing five LLM-specific Service Level Objectives (SLOs) like latency and cost. Ideal for multi-tenant, compliance-sensitive, or existing OTEL stack environments where LangSmith is unsuitable.

Provides advanced debugging techniques for Notion API issues that standard troubleshooting cannot resolve. It covers response ID inspection, tracing complex permission chains, detecting property type mismatches, managing pagination edge cases, and resolving block nesting limits across Notion databases and pages. Essential for robust integration development.

A comprehensive methodology for offensive security, red team intelligence gathering, and bug bounty reconnaissance. Covers domain recon, email harvesting, social media profiling, code leaks, infrastructure mapping, cryptocurrency tracing, and geospatial intelligence. Essential for building detailed attack-surface maps against organizations or individuals.

A comprehensive, structured framework for conducting sophisticated Open Source Intelligence (OSINT) and cryptocurrency forensic investigations. This guide covers operational security (OpSec), target profiling, advanced transaction tracing across multiple blockchain layers (L1/L2), wallet analysis, and identifying linked digital assets. Use this methodology to guide systematic, multi-dimensional intelligence collection campaigns.

This technique guides users on how to use visual descriptions from music videos (MV), such as specific scenes, emotional themes (grief, loss), or real-world events, as powerful search anchors. Instead of only searching by title or artist, users can extract keywords from the visual narrative to refine search queries, significantly increasing the chances of identifying the correct song or tracing its origin. Ideal for music research and cultural analysis.