Learning A Tool

OrganizationPopular

https-deeplearning-ai

learning-a-tool

Create learning paths for programming tools, and define what information should be researched to create learning guides. Use when user asks to learn, understand, or get started with any programming tool, library, or framework.

Overview

Publisher	https-deeplearning-ai
Repository	`sc-agent-skills-files`
Skill name	`learning-a-tool`
Stars	1.4K
Forks	614
Bundled files	1
Links	Skill source Repository

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by https-deeplearning-ai on GitHub. Read the source before you install it.

Installation

Install the Learning A Tool AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/https-deeplearning-ai/sc-agent-skills-files/tree/main/L7/.claude/skills/learning-a-tool
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/https-deeplearning-ai/sc-agent-skills-files/tree/main/L7/.claude/skills/learning-a-tool

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/https-deeplearning-ai/sc-agent-skills-files.git /tmp/sc-agent-skills-files
mkdir -p .claude/skills
cp -r /tmp/sc-agent-skills-files/L7/.claude/skills/learning-a-tool .claude/skills/learning-a-tool

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Learning A Tool 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 Learning A Tool 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 Learning A Tool 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.

Learning a Tool

Create comprehensive learning paths for programming tools.

Workflow

Phase 1: Research

Gather information from three sources. Research each source independently, then aggregate findings.

From Official Documentation

Official docs URL and current version
The motivation behind the tool
What problem does it solve / what does it help with
What types of applications can be built using the tool
Use cases
Installation steps and prerequisites
Core concepts (3-5 fundamental ideas)
Official code examples
Getting started or tutorial content
API reference highlights
Known limitations or caveats

From the Repository

Repository URL and metadata (stars, last commit, license)
Core system architecture (configuration, data processing flow, ...)
README quick start section
Examples folder contents (what each example demonstrates)
Concise summary of the project's main function and the technologies used

From Community Content

Top tutorials (title, author, URL, why it's valuable)
Video resources (title, channel, duration)
Comparison articles (vs alternatives, key tradeoffs)
Common gotchas and mistakes people mention
Community channels (Discord, Reddit, forums)
Real-world use cases and testimonials

Phase 2: Structure

Organize content into progressive levels. references/progressive-learning.md is the source of truth.

You MUST create exactly 5 levels in this order:

Level 1: Overview & Motivation
Level 2: Installation & Hello World
Level 3: Core Concepts
Level 4: Practical Patterns
Level 5: Next Steps

Do NOT merge, skip, or rename levels. Each level's content requirements are defined in the reference file.

Phase 3: Output

Generate the learning path folder.

Output Format

Create the folder in the current working directory (./learning-{tool-name}/) containing:


learning-{tool-name}/
├── README.md           # Overview and how to use this learning path
├── resources.md        # All links organized by source (official, community)
├── learning-path.md    # Main content following the five levels
└── code-examples/      # Runnable code for each section
    ├── 01-hello-world/
    ├── 02-core-concepts/
    └── 03-patterns/

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/progressive-learning.md1 KB

Frequently asked questions

What does the Learning A Tool AI skill do?

Why use Learning A Tool on TypingMind?

Because you install it once and use it with any model. Learning A Tool 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 Learning A Tool in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/https-deeplearning-ai/sc-agent-skills-files/tree/main/L7/.claude/skills/learning-a-tool. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Learning A Tool?

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 Learning A Tool?

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

Is the Learning A Tool AI skill free?

It is published on GitHub by https-deeplearning-ai. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Learning a Tool

Workflow

Phase 1: Research

From Official Documentation

From the Repository

From Community Content

Phase 2: Structure

Phase 3: Output

Output Format

Bundled files

Frequently asked questions

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