Automates internal bug reporting, tool failure logging, and feature requests using the Mirra SDK REST API.
The Mirra Feedback skill empowers developers to integrate structured feedback and error reporting directly into their beta testing workflows. It provides a standardized interface for reporting bugs with reproduction steps, logging automated tool failures, identifying missing AI capabilities, and collecting user sentiment. By leveraging Mirra's REST API, this skill ensures that technical issues and user insights are captured with full context, enabling faster iteration and more robust application development.
Key Features
01Comprehensive bug reporting with severity levels and reproduction steps
02Normalized API responses for consistent data handling across platforms
03Structured sentiment and feature request submission with priority tagging
04Automated tool failure logging for debugging adapter and operation errors
055 GitHub stars
06Capability gap tracking to identify when the LLM cannot fulfill requests
Use Cases
01Reporting critical application crashes discovered during manual or automated beta testing
02Automatically documenting when an AI tool or external API adapter fails to execute
03Gathering and prioritizing feature requests and UX feedback from early adopters
