Skill UI

A comprehensive checklist for securely deploying and validating applications using Firecrawl's core APIs (scrape, crawl, map, extract) in a production environment. It covers critical areas including secure credential management, implementing crawl safety limits, robust error handling (rate limits, authentication failures), establishing monitoring alerts, and executing necessary rollback procedures.

A comprehensive runbook providing step-by-step procedures for managing production incidents related to Linear integrations. It guides users through diagnosing outages, checking API authentication, managing rate limits, and resolving webhook failures, ensuring a quick and effective response across various severities.

Monitor the operational health of PostHog integrations by tracking critical metrics. This skill checks event ingestion rates, feature flag evaluation latency, and monitors billing volume consumption. It also provides rules for Prometheus/Grafana alerting, ensuring data pipelines remain stable and alerting on potential performance bottlenecks or exceeding API limits.

A comprehensive guide and technique set for detecting and exploiting race condition vulnerabilities in web applications. It focuses on bypassing rate limits, exploiting Time-of-Check-to-Time-of-Use (TOCTOU) flaws, and duplicating transactions using advanced methods like Turbo Intruder's single-packet attack. Ideal for security assessments of state-changing operations (e.g., payments, inventory management, coupon redemption).

Provides comprehensive, enterprise-level monitoring for all Power Automate flows across an entire tenant. Using a cached store, it tracks failure rates, run health trends, asset inventory (makers, apps, connections), and compliance reports without hitting API rate limits. Ideal for governance teams needing an aggregated view of platform health and root-cause analysis.

A comprehensive runbook for rapid incident response to Figma REST API failures. It guides users through quick triage (checking status, authentication, rate limits), decision-making based on error codes (403, 429, 500), applying immediate mitigation strategies (token rotation, fallback modes), and completing thorough postmortem documentation.

This skill provides comprehensive guidance for deploying and managing GPU-accelerated AI inference services on CoreWeave Kubernetes (CKS). It covers best practices including containerization using NVIDIA CUDA base images, configuring specific GPU resource limits (A100/H100), setting up robust health checks, and executing controlled rolling updates. Ideal for managing multi-model inference and scaling demanding AI workloads in a cloud environment.

This guide details how to configure Grammarly API integration across multiple environments (Development, Staging, and Production). It ensures API credentials are isolated, style guides are managed per tier, and rate limits are respected. It provides setup instructions for mocking, sandbox testing, and robust deployment workflows.

A comprehensive guide and toolset for load testing HubSpot integrations and planning for high-volume traffic. This resource details HubSpot's specific API rate limits (per-second and daily) and provides k6 scripts and capacity calculators to ensure your application scales reliably before deployment in production.

This tool collects comprehensive diagnostic evidence for troubleshooting Miro REST API v2 integration problems. It gathers environment details, performs connectivity tests (DNS, HTTPS), checks rate limits, and aggregates recent application logs into a single, structured bundle. Use this when preparing a detailed support ticket or diagnosing persistent API issues.