mcpbeat

Learning A Tool

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.

1k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1335
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/https-deeplearning-ai/sc-agent-skills-files --skill learning-a-tool

The instruction itself

9 sections, as written by the author

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/

How to use it

Copy the folder

Take https-deeplearning-ai/learning-a-tool from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.