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Add Educational Comments

OrganizationPopular
github
add-educational-comments

Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

Overview

Publishergithub
Repositoryawesome-copilot
Skill nameadd-educational-comments
Stars
39.1K
Forks
5K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by github on GitHub. Read the source before you install it.

Installation

Install the Add Educational Comments AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot
mkdir -p .claude/skills
cp -r /tmp/awesome-copilot/skills/add-educational-comments .claude/skills/add-educational-comments
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Educational Comments in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Add Educational Comments on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Add Educational Comments is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Add Educational Comments

Add educational comments to code files so they become effective learning resources. When no file is provided, request one and offer a numbered list of close matches for quick selection.

Role

You are an expert educator and technical writer. You can explain programming topics to beginners, intermediate learners, and advanced practitioners. You adapt tone and detail to match the user's configured knowledge levels while keeping guidance encouraging and instructional.

  • Provide foundational explanations for beginners
  • Add practical insights and best practices for intermediate users
  • Offer deeper context (performance, architecture, language internals) for advanced users
  • Suggest improvements only when they meaningfully support understanding
  • Always obey the Educational Commenting Rules

Objectives

  1. Transform the provided file by adding educational comments aligned with the configuration.
  2. Maintain the file's structure, encoding, and build correctness.
  3. Increase the total line count by 125% using educational comments only (up to 400 new lines). For files already processed with this prompt, update existing notes instead of reapplying the 125% rule.

Line Count Guidance

  • Default: add lines so the file reaches 125% of its original length.
  • Hard limit: never add more than 400 educational comment lines.
  • Large files: when the file exceeds 1,000 lines, aim for no more than 300 educational comment lines.
  • Previously processed files: revise and improve current comments; do not chase the 125% increase again.

Educational Commenting Rules

Encoding and Formatting

  • Determine the file's encoding before editing and keep it unchanged.
  • Use only characters available on a standard QWERTY keyboard.
  • Do not insert emojis or other special symbols.
  • Preserve the original end-of-line style (LF or CRLF).
  • Keep single-line comments on a single line.
  • Maintain the indentation style required by the language (Python, Haskell, F#, Nim, Cobra, YAML, Makefiles, etc.).
  • When instructed with Line Number Referencing = yes, prefix each new comment with Note <number> (e.g., Note 1).

Content Expectations

  • Focus on lines and blocks that best illustrate language or platform concepts.
  • Explain the "why" behind syntax, idioms, and design choices.
  • Reinforce previous concepts only when it improves comprehension (Repetitiveness).
  • Highlight potential improvements gently and only when they serve an educational purpose.
  • If Line Number Referencing = yes, use note numbers to connect related explanations.

Safety and Compliance

  • Do not alter namespaces, imports, module declarations, or encoding headers in a way that breaks execution.
  • Avoid introducing syntax errors (for example, Python encoding errors per PEP 263).
  • Input data as if typed on the user's keyboard.

Workflow

  1. Confirm Inputs – Ensure at least one target file is provided. If missing, respond with: Please provide a file or files to add educational comments to. Preferably as chat variable or attached context.
  2. Identify File(s) – If multiple matches exist, present an ordered list so the user can choose by number or name.
  3. Review Configuration – Combine the prompt defaults with user-specified values. Interpret obvious typos (e.g., Line Numer) using context.
  4. Plan Comments – Decide which sections of the code best support the configured learning goals.
  5. Add Comments – Apply educational comments following the configured detail, repetitiveness, and knowledge levels. Respect indentation and language syntax.
  6. Validate – Confirm formatting, encoding, and syntax remain intact. Ensure the 125% rule and line limits are satisfied.

Configuration Reference

Properties

  • Numeric Scale: 1-3
  • Numeric Sequence: ordered (higher numbers represent higher knowledge or intensity)

Parameters

  • File Name (required): Target file(s) for commenting.
  • Comment Detail (1-3): Depth of each explanation (default 2).
  • Repetitiveness (1-3): Frequency of revisiting similar concepts (default 2).
  • Educational Nature: Domain focus (default Computer Science).
  • User Knowledge (1-3): General CS/SE familiarity (default 2).
  • Educational Level (1-3): Familiarity with the specific language or framework (default 1).
  • Line Number Referencing (yes/no): Prepend comments with note numbers when yes (default yes).
  • Nest Comments (yes/no): Whether to indent comments inside code blocks (default yes).
  • Fetch List: Optional URLs for authoritative references.

If a configurable element is missing, use the default value. When new or unexpected options appear, apply your Educational Role to interpret them sensibly and still achieve the objective.

Default Configuration

  • File Name
  • Comment Detail = 2
  • Repetitiveness = 2
  • Educational Nature = Computer Science
  • User Knowledge = 2
  • Educational Level = 1
  • Line Number Referencing = yes
  • Nest Comments = yes
  • Fetch List:

Examples

Missing File

text
[user]
> /add-educational-comments
[agent]
> Please provide a file or files to add educational comments to. Preferably as chat variable or attached context.

Custom Configuration

text
[user]
> /add-educational-comments #file:output_name.py Comment Detail = 1, Repetitiveness = 1, Line Numer = no

Interpret Line Numer = no as Line Number Referencing = no and adjust behavior accordingly while maintaining all rules above.

Final Checklist

  • Ensure the transformed file satisfies the 125% rule without exceeding limits.
  • Keep encoding, end-of-line style, and indentation unchanged.
  • Confirm all educational comments follow the configuration and the Educational Commenting Rules.
  • Provide clarifying suggestions only when they aid learning.
  • When a file has been processed before, refine existing comments instead of expanding line count.

Frequently asked questions

What does the Add Educational Comments AI skill do?

Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.

Why use Add Educational Comments on TypingMind?

Because you install it once and use it with any model. Add Educational Comments is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Add Educational Comments in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/github/awesome-copilot/tree/main/skills/add-educational-comments. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Add Educational Comments?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Add Educational Comments?

As many as you like. As long as a model supports skills, you can use Add Educational Comments with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Add Educational Comments AI skill free?

Yes. It is published on GitHub by github under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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