Learningforge Ai User Behavior Analysis
- 1 installs
- Updated May 6, 2026
- construct-ai-primary/z-docs-paperclip
Analyze user behavior patterns to detect learning gaps and knowledge deficiencies.
About
Learning Forge AI User Behavior Analysis Skill Overview Analyzes user behavior patterns to detect learning gaps and knowledge deficiencies.. Uses interaction data to improve learning outcomes.
- When analyzing user learning patterns is needed
- When detecting knowledge gaps is required
Learningforge Ai User Behavior Analysis by the numbers
- 1 all-time installs (skills.sh)
- Ranked #984 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
- Data as of Jul 8, 2026 (Skillselion catalog sync)
npx skills add https://github.com/construct-ai-primary/z-docs-paperclip --skill learningforge-ai-user-behavior-analysisAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 1 |
|---|---|
| Last updated | May 6, 2026 |
| Repository | construct-ai-primary/z-docs-paperclip ↗ |
What it does
Analyze user behavior patterns to detect learning gaps and knowledge deficiencies.
Files
Learning Forge AI - User Behavior Analysis Skill
Overview
Analyzes user behavior patterns to detect learning gaps and knowledge deficiencies. Uses interaction data to improve learning outcomes.
When to Use
- When analyzing user learning patterns is needed
- When detecting knowledge gaps is required
- When identifying behavior-driven learning opportunities is needed
- When user engagement analysis is required
Core Procedures
Behavior Analysis Workflow
1. Data Collection - Gather interaction data from learning platform 2. Pattern Recognition - Identify recurring behavior patterns 3. Gap Detection - Detect knowledge and skill gaps 4. Improvement Planning - Generate personalized learning paths 5. Nudge Generation - Create targeted learning nudges
Agent Assignment
Primary Agent: learningforge-ai-user-behavior-analyst Reports To: learningforge-ai-learning-division-lead
Output
Writes to /workspace/lessons/behavior/
Last Updated
2026-04-11
Related skills
Improve Codebase ArchitectureSafely deepen clusters of shallow modules into cohesive, testable units while respecting their external dependencies.566k196k
Caveman ReviewGet ultra-compressed, one-line code review comments that cut noise while keeping every actionable fix.270k94.7kCodebase DesignShared vocabulary for designing deep modules: improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable.266k196kCavecrewDelegate coding tasks to specialized subagents that return compressed output, keeping the main context window usable for much longer sessions.220k94.7kCode ReviewReviews a branch or PR diff on two axes at once: conformance to coding standards plus a code-smell baseline, and whether it actually implements the original spec.201k196k
Requesting Code ReviewDispatch a consistent, high-signal code reviewer subagent that catches plan deviations and quality issues before merging or continuing development.183k264k