Log mistakes with category tags and schedule spaced reviews.
npx skills add https://github.com/diana-uk/senior-interview-mentor --skill mistakes
Please help me install this Agent Skill. Skill: mistakes Source: https://github.com/diana-uk/senior-interview-mentor/tree/main/.claude/skills/mistakes Command: npx skills add https://github.com/diana-uk/senior-interview-mentor --skill mistakes
Track and review mistake patterns to help users improve debugging skills and interview readiness.
Log a mistake with a brief description to start tracking and schedule the next review.
High-intent search queries and answers about installing and using this skill.
You can log debugging mistakes with category tags and timestamps to track error patterns and schedule spaced repetition reviews. Entries are stored in a JSON file with timestamps to systematically schedule subsequent reviews.
Spaced repetition for interview preparation involves logging mistakes and reviewing them at scheduled intervals to reinforce learning. It generates targeted practice suggestions based on your most frequent error categories.
Yes, you can view statistics on your coding mistakes organized by category and next review date. This helps identify top weaknesses and generates targeted practice suggestions for interview readiness.
Yes, mistake logging works without external dependencies because it stores all entries locally in a JSON file. You only need to provide a brief description to start tracking and schedule the next review.
The best way to log software development errors for coaching is to record each mistake with a category tag and timestamp. This creates a reviewable dataset that schedules spaced practice sessions to reinforce debugging skills.
0xHarbsDiagnose failures by applying hypothesis-driven root-cause analysis to test outputs, stack traces, and CI logs.
fdhidalgoEvaluate political science PhD student work across multiple document types.
ParamchoudharyGenerate STAR stories, interview questions, and talking points from a resume.
zangjeicyManage local JSON flashcard decks with adaptive spaced-repetition scheduling.
