Coding

Learning Optimizer

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

What it does

Analyze and optimize learning patterns for better efficiency.

The skill document

Learning Optimizer

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

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:

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

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

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