Learning Analytics Skill

Analyze AI learning progress from markdown memory files and generate reports.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/WangK0221/OpenClaw_Shrimp --skill learning-analytics-skill
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Learning Analytics Skill
Source: https://github.com/WangK0221/OpenClaw_Shrimp/tree/main/skills/learning-analytics
Command: npx skills add https://github.com/WangK0221/OpenClaw_Shrimp --skill learning-analytics-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This skill helps track and analyze the progress of an AI's learning plan, providing insights into skill development and overall effectiveness.

Core Features & Use Cases

  • Progress Tracking: Monitors daily and weekly learning activities.
  • Insight Generation: Identifies skills practiced and topics covered.
  • Recommendation Engine: Offers suggestions for improving learning strategies.
  • Use Case: A project manager can use this skill to get a weekly summary of the AI's learning, highlighting areas where it's excelling and suggesting where it needs more focus.

Quick Start

Analyze the learning progress for today's date.

Frequently Asked Questions about Learning Analytics Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track AI learning progress from markdown memory files?

To generate learning analytics reports, you need to provide markdown memory files containing your AI's learning history. The tool parses this markdown data to track daily and weekly skill development, identifying topics covered and generating actionable recommendations.

How do I generate weekly skill development reports for an AI learning plan?

You can generate weekly skill development reports by analyzing markdown memory files. This skill processes the logged learning activities to summarize topics covered, highlight excelling areas, and provide actionable recommendations for improvement.

Do I need markdown formatted memory files to analyze AI learning progress?

Yes, markdown formatted memory files are required. The skill specifically parses markdown data to extract learning history, track daily and weekly progress, and generate actionable recommendations for improving your AI's learning strategy.

What is the best way to get actionable recommendations for an AI learning plan?

The best way to get actionable recommendations is by analyzing historical learning data stored in markdown memory files. This skill processes your logs to evaluate skill development, identify areas needing focus, and suggest specific improvements to the learning strategy.

Can I use this skill to monitor daily AI learning activities without external dependencies?

Yes, you can monitor daily AI learning activities without external dependencies. The skill operates standalone by directly parsing markdown memory files to track topics covered, evaluate skill development, and generate progress insights.