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goldath

学习计划制定助手

by Hjs102468 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install study-plan-maker
Description
Use this skill when creating personalized study plans, learning roadmaps, or skill acquisition schedules. Activates on requests like "make a study plan for X...
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install study-plan-maker
  3. After installation, invoke the skill by name or use /study-plan-maker
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug study-plan-maker
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 学习计划制定助手?

Use this skill when creating personalized study plans, learning roadmaps, or skill acquisition schedules. Activates on requests like "make a study plan for X... It is an AI Agent Skill for Claude Code / OpenClaw, with 66 downloads so far.

How do I install 学习计划制定助手?

Run "/install study-plan-maker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 学习计划制定助手 free?

Yes, 学习计划制定助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 学习计划制定助手 support?

学习计划制定助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 学习计划制定助手?

It is built and maintained by Hjs102468 (@goldath); the current version is v1.0.0.

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