Log and categorize analytical errors with their fixes.
npx skills add https://github.com/Amar1404/AI_ANALYST --skill log-correction-amar1404
Please help me install this Agent Skill. Skill: log-correction Source: https://github.com/Amar1404/AI_ANALYST/tree/main/skills/log-correction Command: npx skills add https://github.com/Amar1404/AI_ANALYST --skill log-correction-amar1404
This Skill streamlines the process of recording and analyzing analyst mistakes and their fixes, ensuring that future analyses benefit from past errors.
Trigger the Skill by saying "log a correction", "that was wrong because...", or by invoking /log-correction.
High-intent search queries and answers about installing and using this skill.
To log analytical errors, you record the mistake, its correction, and the reasoning behind it, then classify it into categories like SQL, metric, schema, or logic to enable continuous learning.
Tracking data analysis mistakes involves automating the structured logging and categorization of errors alongside their corrected approaches, which ensures future analyses benefit from past analytical mistakes.
Yes, you can categorize SQL, metric, schema, and logic errors during the logging process, directly addressing data quality by structuring analytical mistakes for systematic review and improvement.
No, automated error logging for analytical corrections requires no external framework dependencies, allowing you to independently structure your error tracking and categorization workflow.
Automated error categorization is not suited for unstructured or non-analytical mistakes, as it requires structured logging of specific SQL, metric, schema, or logic errors to function properly.
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