learning-learner-analytics
Analyzes learner behavior, progress, and outcomes to generate actionable insights.
npx skills add majiayu000/claude-skill-registry --skill learning-learner-analytics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Learning Learner Analytics Track and analyze learner interactions, progress patterns, time-on-task, and performance to optimize learning experiences. ## CLI: /learning.learner-analytics --data 'learner-logs.csv' --metrics 'engagement,completion,mastery' --visualize true ## Exit Codes: 0=success, 1=invalid data, 2=insufficient records
- Exit Codes: 0=success, 1=invalid data, 2=insufficient records
What does the learning-learner-analytics skill do?
Analyzes learner behavior, progress, and outcomes to generate actionable insights.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill learning-learner-analytics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.