Skill UI

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.

This guide provides comprehensive troubleshooting for common issues encountered when converting Figma designs to code using the Anima SDK. It covers authentication failures (Figma/Anima tokens), specific node/file lookup errors, code rate limits, and output quality problems, helping developers ensure accurate and robust code generation.

This guide details advanced strategies for optimizing Claude API usage to reduce latency and cost. Techniques covered include prompt caching (significant cost reduction), strategic model selection (Haiku, Sonnet, Opus) based on task complexity, implementing streaming for perceived speed, and managing token limits. Use this guide when building high-performance, cost-efficient LLM applications that interact with large language models.

A comprehensive diagnostic reference for resolving common technical failures encountered when running web scraping and automation tasks on the Apify platform. Covers issues such as Actor run failures, API rate limits (429), authentication errors (401), anti-bot blocks, and memory allocation issues, providing structured fixes and best practices for robust scraping pipelines.

This guide provides comprehensive strategies for optimizing API usage and managing costs associated with the Attio platform. Learn how to audit current usage patterns, implement smart caching tiers (schema, records, queries), and replace inefficient polling mechanisms with webhooks to significantly reduce request volume and stay within budget limits.

A comprehensive guide and utility for managing API interactions with BambooHR. It implements robust retry logic (with exponential backoff and jitter) to handle 503 and 429 rate limit errors. It also provides patterns for proactive optimization, such as queue-based throttling, batching data using custom reports, and utilizing incremental sync to maximize API throughput and reliability.

This guide provides strategies to optimize the usage and costs associated with the Canva Connect API. It covers best practices such as aggressive metadata caching, implementing export tracking to prevent duplicates, managing pagination efficiently, and monitoring API call volume to stay within rate limits and budget constraints.

Collects comprehensive diagnostic evidence for Canva Connect API troubleshooting. This bundle checks API connectivity, validates OAuth tokens, monitors rate limits, and captures environment details (OS, Node version, etc.). It is essential for preparing detailed support tickets when encountering persistent API issues.

A comprehensive resource detailing common anti-patterns and critical mistakes when integrating with the Canva Connect API. This guide covers essential best practices, including robust token management, handling rate limits, implementing asynchronous workflows, and securing webhooks. Ideal for developers conducting code reviews, onboarding new team members, or auditing existing Canva-related integrations.

This tool provides comprehensive load testing, auto-scaling simulation, and capacity planning for Canva Connect API integrations. It is essential for performance testing, managing complex rate limits (both per-user and global), and ensuring robust, scalable production workloads for Canva-dependent applications.

A comprehensive guide for managing Anthropic API rate limits (RPM, TPM). Learn how to interpret rate limit headers, implement robust backoff strategies (exponential backoff with jitter), and optimize throughput using techniques like message batching and prompt caching to ensure reliable, high-volume API calls.

This skill provides robust mechanisms to interact with the Clari API, specifically designed to handle rate limiting (HTTP 429 errors) and manage asynchronous bulk export jobs. It implements exponential backoff and sequential scheduling, ensuring reliable data retrieval and forecasting exports without hitting API limits. Ideal for automated data pipelines and background job processing.