Learning Optimizer

Learning optimizer - analyze study patterns, identify inefficiencies, suggest optimizations for better learning outcomes

Analyze and optimize learning patterns for better efficiency.

Features

• Study pattern analysis
• Efficiency identification
• Time allocation suggestions
• Focus improvement tips

Input

• Study schedule/history
• Current time allocation
• Distraction factors
• Performance data (optional)

Output

• Efficiency analysis
• Optimization suggestions
• Time reallocation plan
• Focus improvement tips

Constraints

• ❌ No performance guarantees
• ❌ No one-size-fits-all solutions
• ❌ No external data collection

Usage

bash

python3 scripts/main.py analyze --schedule "每天2小时" --subjects "数学,英语"
python3 scripts/main.py optimize --problem "容易分心" --current "长时间连续学习"
python3 scripts/main.py allocate --total 120 --priorities "数学高,英语中"
python3 scripts/main.py data

Storage

Logs are local-first and stored under ~/.learning-optimizer/ by default. Set LEARNING_OPTIMIZER_HOME for tests, demos, or shared machines:

bash

LEARNING_OPTIMIZER_HOME=/tmp/learning-demo python3 scripts/main.py analyze --schedule "每天2小时" --subjects "数学,英语"

The skill writes JSONL logs:

• analysis_log.jsonl
• optimization_log.jsonl
• allocation_log.jsonl

Verification

bash

python3 -m py_compile scripts/main.py scripts/verify.py
python3 scripts/verify.py