plan-course-materials — community plan-course-materials, john-bryce, community, ide skills

v1.0.0

About this Skill

Perfect for Educational Agents needing comprehensive course planning capabilities with scope, depth, and industry context analysis. Plan data engineering course materials for new lessons. Use when creating materials for new topics, planning lectures, or when the user asks to plan course content, lesson materials, or lecture struct

doron-nazaretsky doron-nazaretsky
[0]
[0]
Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
7/11
Quality Score
41
Canonical Locale
en
Detected Body Locale
en

Perfect for Educational Agents needing comprehensive course planning capabilities with scope, depth, and industry context analysis. Plan data engineering course materials for new lessons. Use when creating materials for new topics, planning lectures, or when the user asks to plan course content, lesson materials, or lecture struct

Core Value

Empowers agents to create structured course materials by analyzing instructor intent, covering key aspects such as topic scope, lecture duration, and practical vs theory balance, while considering industry context and historical background, utilizing protocols like CI/CD integration and cloud patterns.

Ideal Agent Persona

Perfect for Educational Agents needing comprehensive course planning capabilities with scope, depth, and industry context analysis.

Capabilities Granted for plan-course-materials

Generating course outlines with balanced theory and practical content
Creating lesson plans with appropriate depth and scope for specific topics
Developing educational materials with relevant industry context and tool integration

! Prerequisites & Limits

  • Requires instructor input for intent gathering
  • Limited to educational content creation
  • Dependent on availability of industry context and related tool information

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is plan-course-materials?

Perfect for Educational Agents needing comprehensive course planning capabilities with scope, depth, and industry context analysis. Plan data engineering course materials for new lessons. Use when creating materials for new topics, planning lectures, or when the user asks to plan course content, lesson materials, or lecture struct

How do I install plan-course-materials?

Run the command: npx killer-skills add doron-nazaretsky/john-bryce/plan-course-materials. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for plan-course-materials?

Key use cases include: Generating course outlines with balanced theory and practical content, Creating lesson plans with appropriate depth and scope for specific topics, Developing educational materials with relevant industry context and tool integration.

Which IDEs are compatible with plan-course-materials?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for plan-course-materials?

Requires instructor input for intent gathering. Limited to educational content creation. Dependent on availability of industry context and related tool information.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add doron-nazaretsky/john-bryce/plan-course-materials. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use plan-course-materials immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

plan-course-materials

Install plan-course-materials, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Plan Course Materials

Before creating a plan, gather the instructor's intent by asking about:

Questions to Ask

  1. Scope: Topic, lecture duration, practical vs theory balance
  2. Depth: What to cover deeply, what to mention briefly, what to skip entirely
  3. Internals: How much "how it works under the hood" vs practical usage
  4. Context: Historical context needed? What existed before this tool/concept?
  5. Industry: Related tools, CI/CD integration, cloud patterns, team workflows to mention
  6. Exercises: Type of hands-on practice -- demos, guided exercises, open-ended challenges
  7. Lab environment: Does the lesson need sidecar services? Check existing labs/*/ directories first.
  8. Audience: What students already know, what IDE/OS they use
  9. Style: Any specific tone, format, or emphasis preferences

Don't ask all at once -- group naturally and ask follow-ups based on answers.

Plan Output

Create a .cursor/plans/ file containing:

  • YAML frontmatter with name, overview, granular todos (one per file/folder to create), isProject: false
  • Folder structure -- full directory tree of all files to create
  • Content outline per file -- bullet points of what each file covers, with estimated line count
  • Time allocation table -- how lecture time maps to sections
  • Lab environment -- which lab to use (or "none" if lesson uses only SQLite/stdlib)

Material Standards

  • Files go under materials/[topic]/ with a README.md entry point
  • Numbered folders (01-introduction/) and files (01-topic-name.md)
  • Max ~300 lines per .md file; split large subjects into smaller files
  • Exercises grouped at the end
  • Include runnable demo code in a demo-app/ folder when applicable

Code format and lab conventions are defined in the cursor rules (.cursor/rules/content-format.mdc and .cursor/rules/lab-environment.mdc). Follow those when implementing.

Examples and Code

Examples should be simple and easy to follow, but mimic real-life usage patterns. Students should see how things actually look in practice without getting lost in complexity.

After Planning

Ask if the instructor wants to adjust anything before starting implementation.

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