Skill UI

A comprehensive utility for managing Groq's API rate limits (RPM/TPM). It implements robust patterns including exponential backoff, automated retries upon 429 errors, and structured request queuing to ensure stable and efficient high-throughput API calls. Includes functions for parsing detailed rate limit headers.

Provides comprehensive strategies for managing API rate limits (RPM/TPM) when integrating with Mistral AI. This guide demonstrates implementing token-aware rate limiters, exponential backoff, and robust retry mechanisms using `Retry-After` headers, ensuring high throughput and stable application performance for large-scale LLM applications.

A comprehensive toolset to scaffold, build, sign, and package SwiftPM-based macOS applications entirely without requiring an Xcode project. It guides users through the end-to-end process, including setting up the project, running the app, performing code signing, notarization, and generating update appcasts for robust, reproducible releases.

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.

A comprehensive guide and set of scripts for performing load testing and capacity planning for Anthropic's Claude API. This resource helps developers benchmark performance, anticipate traffic spikes, manage rate limits (RPM/ITPM/OTPM), and implement robust horizontal scaling strategies for mission-critical AI services using Python.

Implements robust rate limiting, backoff logic, and quota management for the Anthropic Claude API. It handles 429 errors and optimizes request throughput by managing Requests Per Minute (RPM), Input Tokens Per Minute (ITPM), and Output Tokens Per Minute (OTPM). This skill provides advanced strategies including SDK retries, custom header awareness, queue-based throttling, and batch processing for stable, high-throughput production applications.

Methodology for capturing, analyzing, and replaying LoRaWAN and sub-GHz wireless traffic. Useful for testing IoT deployments, fixed-code remotes, garage doors, TPMS, and other devices in 433/868/915 MHz bands.

This skill provides a comprehensive workflow for verifying the integrity of a system's boot chain using TPM 2.0. It covers local validation by reading Platform Configuration Registers (PCRs) and replaying the event log, and remote attestation by generating and checking signed quotes. Use cases include enforcing Zero Trust device posture, detecting firmware tampering, or establishing secure secret baselines.

A comprehensive toolset to scaffold, build, sign, and package SwiftPM-based macOS applications entirely without requiring an Xcode project. It guides users through the end-to-end process, including setting up the project, running the app, performing code signing, notarization, and generating update appcasts for robust, reproducible releases.