Analyze SpecStory session history to score yak shaving and goal derailment.
npx skills add https://github.com/zapabob/Skills --skill specstory-yak
Please help me install this Agent Skill. Skill: specstory-yak Source: https://github.com/zapabob/Skills/tree/main/registry/skills/specstory-yak/variants/cursor Command: npx skills add https://github.com/zapabob/Skills --skill specstory-yak
This Skill helps you understand how often and why your AI coding sessions get sidetracked from the original goal, providing insights into "yak shaving" behavior.
Run the specstory yak analyzer for the last 7 days to see your yak shave score.
High-intent search queries and answers about installing and using this skill.
Detect goal derailment by parsing AI coding session history to track domain shifts and quantify deviations from initial intent. This analysis scores your sessions to highlight exactly how and when your focus drifted from the original task.
A yak shave score is a 0-100 metric assigned to AI coding sessions based on goal drift, domain shifts, and session length. It quantifies how severely your workflow derailed from its original objective.
SpecStory session analysis requires access to .specstory/history files and a Python execution environment. You need these specific local history files available to parse and evaluate your past coding sessions.
Identify distraction triggers by analyzing session history to highlight common patterns like specific task types or times of day. This pattern identification pinpoints exactly what causes your coding focus to shift away.
You can analyze SpecStory history files over a 7-day period to calculate your yak shave score. This quick start check helps you review recent sessions and see if you stayed on track or ended up in unrelated tasks.
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