Learning Optimizer

该 Skill 通过本地 Python 命令行读取学习安排、时间分配和分心因素，输出效率分析、优化建议、时间重分配方案与专注改进提示，并将分析、优化和分配记录写入本地 JSONL 日志。

harrylabsj

热度 78.96

最近更新 2026-06-25 21:23:48

分类：知识依赖：代码执行 / 读写文件应用场景：任务管理 / 工作流 / 推荐

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add learning-optimizer

Metadata

name: learning-optimizer
description: Learning optimizer - analyze study patterns, identify inefficiencies, suggest optimizations for better learning outcomes
version: 1.1.0

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