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Skill

/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.

BOOST
From plugin
sc-agent-skills-files
1.4k4 skills2 agents
Install
$ npx -y skills add https-deeplearning-ai/sc-agent-skills-files --skill learning-a-tool --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/learning-a-tool

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

learning-a-tool.SKILL.md
name: learning-a-tool
description: 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.

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:

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