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学习计划制定助手

作者 Hjs102468 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install study-plan-maker
功能描述
Use this skill when creating personalized study plans, learning roadmaps, or skill acquisition schedules. Activates on requests like "make a study plan for X...
使用说明 (SKILL.md)

Study Plan Maker

A structured framework for creating personalized, realistic, and effective study plans optimized for knowledge retention and goal achievement.

When to Use

  • Preparing for exams (certifications, college entrance, professional exams)
  • Learning a new skill from scratch (coding, language, instrument, etc.)
  • Building a structured reading/learning curriculum
  • Returning to a subject after a long break
  • Cramming efficiently for an upcoming deadline

Core Framework: SOLAR Method

S — Scope: Define exactly what needs to be learned
O — Objective: Set measurable outcomes and deadlines  
L — Layout: Map the content into phases and milestones
A — Allocate: Assign time blocks to each topic
R — Review: Build in spaced repetition and checkpoints

Step-by-Step Workflow

Step 1 — Intake Assessment

Ask the user:

  • Goal: What are you trying to learn or achieve?
  • Deadline: When do you need to be ready? (or is this open-ended?)
  • Current level: Complete beginner / some experience / intermediate / advanced
  • Daily time available: How many hours/minutes per day can you study?
  • Learning style: Visual / reading-writing / hands-on / auditory
  • Resources available: Books, courses, tutors, online platforms?
  • Constraints: Exam format? Required syllabus? Company training?

Step 2 — Scope the Curriculum

Break the subject into major domains:

Subject: [Name]
Total estimated hours: X–Y hours to proficiency

Domain 1: [Name] — ~X hours (X% of total)
  - Topic 1.1: ...
  - Topic 1.2: ...
  - Topic 1.3: ...

Domain 2: [Name] — ~X hours
  ...

Reference official syllabi, popular courses, or established learning paths when available (e.g., for certifications, programming languages, languages).

Step 3 — Set SMART Milestones

SMART = Specific, Measurable, Achievable, Relevant, Time-bound

❌ Vague: "Understand JavaScript well"
✅ SMART: "Complete Modules 1–5, pass practice quiz with 80%+ by Day 21"

Milestone 1 (Week X): [Specific achievement]
Milestone 2 (Week X): [Specific achievement]
Final Goal (Day X): [Pass exam / Complete project / Reach level X]

Step 4 — Design the Weekly Schedule

Phase structure (for most learning goals):

Phase 1 (Weeks 1–X): Foundation
  — Core concepts, vocabulary, fundamentals
  — Priority: breadth over depth
  
Phase 2 (Weeks X–X): Building
  — Applied knowledge, practice problems
  — Priority: depth + skill-building

Phase 3 (Weeks X–X): Consolidation
  — Review, practice tests, weak area drilling
  — Priority: retention + exam readiness

Weekly time template:

Monday: [Topic A] — X min
Tuesday: [Topic B] — X min  
Wednesday: Review + practice — X min
Thursday: [Topic C] — X min
Friday: [Topic D] — X min
Saturday: Mock test / project work — X min
Sunday: Light review / rest

Step 5 — Apply Learning Science Principles

Principle How to Apply
Spaced repetition Review material at increasing intervals (Day 1, Day 3, Day 7, Day 14)
Active recall Test yourself before re-reading (flashcards, practice questions)
Interleaving Mix topics in each session rather than blocking one topic per day
The Pomodoro method 25 min focused study + 5 min break, every 4 cycles take 30 min break
Feynman technique Explain the concept in simple words to check understanding
Deliberate practice Focus on weakest areas, not comfortable topics

Step 6 — Build in Checkpoints

Weekly check-in questions:
□ Did I complete this week's planned sessions?
□ Which topics felt unclear or need more time?
□ What was my practice test score this week?
□ Do I need to adjust next week's plan?

Adjustment rules:
- If >20% behind: cut 1 topic, add weekend catch-up
- If consistently ahead: add depth or advance timeline
- If exam is 2 weeks away: switch to 100% review + practice tests

Output Format

Deliver a complete study plan with:

## 📚 Study Plan: [Subject/Goal]
**Goal**: | **Deadline**: | **Daily Time**: | **Level**:

### Curriculum Overview
[Domain map with estimated hours]

### Phase Breakdown
[3-phase structure with weeks]

### Week-by-Week Schedule
[Detailed weekly tables]

### Milestone Checklist
[SMART milestones]

### Recommended Resources
- Primary: [Book/Course name + URL if known]
- Practice: [Platform or resource]
- Reference: [Quick reference card or docs]

### Review Schedule (Spaced Repetition)
[What to review and when]

Study Pace Guidelines

Hours/Day Goal type Realistic timeline
0.5h/day Light skill building Long-term, months
1h/day Language / instrument 6–12 months to conversational
2h/day Professional certification 2–4 months
3–4h/day Intensive exam prep 4–8 weeks
6+h/day Full-time bootcamp mode 2–6 weeks for focused topic

Quality Standards

  • Always validate the plan is achievable given user's time budget
  • Flag if the goal is unrealistic for the timeline (offer alternatives)
  • Prioritize high-yield topics (80/20 rule — 20% of topics cover 80% of exams)
  • Include at least one practice/application activity per phase
安全使用建议
This skill appears safe to use for generating study schedules. As with any planning assistant, avoid sharing unnecessary personal details, but the artifacts do not show risky access or hidden behavior.
功能分析
Type: OpenClaw Skill Name: study-plan-maker Version: 1.0.0 The 'study-plan-maker' skill is a purely instructional bundle designed to guide an AI agent in generating structured learning roadmaps. The content across SKILL.md and the reference markdown files consists of educational frameworks (SOLAR method), learning science principles, and study templates without any executable code, system calls, or network requests. No evidence of malicious intent, data exfiltration, or prompt injection was found.
能力评估
Purpose & Capability
The stated purpose is creating personalized study plans, and the included files are study-plan workflows, learning-science guidance, and templates that align with that purpose.
Instruction Scope
The instructions ask for relevant planning inputs such as goals, deadlines, current level, time available, resources, and constraints, then direct the agent to produce a structured study plan.
Install Mechanism
There is no install specification, no package installation, and no executable code.
Credentials
The metadata declares no required binaries, environment variables, credentials, config paths, or OS-specific access.
Persistence & Privilege
The artifacts show no persistence, background activity, privilege requests, file modification, account access, or retained memory behavior.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install study-plan-maker
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /study-plan-maker 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release
元数据
Slug study-plan-maker
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

学习计划制定助手 是什么?

Use this skill when creating personalized study plans, learning roadmaps, or skill acquisition schedules. Activates on requests like "make a study plan for X... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 66 次。

如何安装 学习计划制定助手?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install study-plan-maker」即可一键安装,无需额外配置。

学习计划制定助手 是免费的吗?

是的,学习计划制定助手 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

学习计划制定助手 支持哪些平台?

学习计划制定助手 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 学习计划制定助手?

由 Hjs102468(@goldath)开发并维护,当前版本 v1.0.0。

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