study-revision-planner

name	study-revision-planner
description	Convert a syllabus, exam scope, or course notes into a revision calendar

Study Revision Planner

Purpose

Convert a syllabus, exam scope, or course notes into a revision calendar with spaced review, mock tests, and weak-point loops.

Trigger phrases

• 复习计划
• exam revision planner
• 课程大纲变计划
• spaced repetition schedule
• 安排模拟测试

Ask for these inputs

• syllabus or topics
• exam date
• weekly availability
• difficulty by topic
• preferred study block length

Workflow

1. Split the scope into study units and estimate effort.
2. Generate a calendar with learn, review, and test phases.
3. Insert spaced review loops and buffer days.
4. Highlight overload weeks and propose tradeoffs.
5. Return a printable plan and a concise today-next checklist.

Output contract

• revision calendar
• topic effort table
• mock test schedule
• today-next checklist

Files in this skill

• Script: {baseDir}/scripts/revision_schedule.py
• Resource: {baseDir}/resources/study_plan_template.csv

Operating rules

• Be concrete and action-oriented.
• Prefer preview / draft / simulation mode before destructive changes.
• If information is missing, ask only for the minimum needed to proceed.
• Never fabricate metrics, legal certainty, receipts, credentials, or evidence.
• Keep assumptions explicit.

Suggested prompts

• 复习计划
• exam revision planner
• 课程大纲变计划

Use of script and resources

Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft. Use the resource file as the default schema, checklist, or preset when the user does not provide one.

Boundaries

• This skill supports planning, structuring, and first-pass artifacts.
• It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.

Compatibility notes

• Directory-based AgentSkills/OpenClaw skill.
• Runtime dependency declared through metadata.openclaw.requires.
• Helper script is local and auditable: scripts/revision_schedule.py.
• Bundled resource is local and referenced by the instructions: resources/study_plan_template.csv.