agentleFS
nortonxnortonx/ai-tooling-free/skills/learn/SKILL.md

learn

Skill1 starsChanged 2 months agoMITView on GitHub

Learn and understand a concept in depth. Args: <concept>

195 other projects use a version of this.

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Used with

Projects with it also use add-anydoc, add-clidash and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 170 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If $ARGUMENTS is empty, missing, or whitespace, stop and output:

    line 26
  2. Distinctive:

    Keep code examples minimal: focus strictly on illustrating the target concept.

    line 82
  3. Distinctive:

    If the concept is ambiguous, explain the most common usage first and mention the alternative.

    line 83

“Common” is measured: kept by at least 6 in 10 of the 170 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<!-- Note: $ARGUMENTS is substituted by Claude commands only. In Copilot, the user must include their argument inline in the prompt; the skill body sees the literal text "$ARGUMENTS" unsubstituted. -->

Arguments

<concept>

  • Required. The concept, term, or technology you want explained in depth.
  • Examples: /learn user story, /learn Wilson score interval, /learn closure in JavaScript

Copilot CLI note: $ARGUMENTS does not substitute in skills; include the argument inline in your prompt.

Explain Concept: $ARGUMENTS

Explain a software development concept, algorithm, tool, or architectural pattern clearly and thoroughly across multiple conceptual depths.

Step 1: Validate Input

If $ARGUMENTS is empty, missing, or whitespace, stop and output:

Usage: /learn <concept> Please provide the concept, term, or technology you want explained.

Then stop.

Step 2: Adaptive Multi-Depth Explanation

Synthesize the concept across structured levels to ensure both rapid intuition and deep technical mastery:

  1. Simple Summary (ELI5): Explain the concept in plain, non-jargon language that any developer or stakeholder can grasp immediately.
  2. Technical Mechanics: Detail how it works under the hood: data flow, memory model, execution phases, or state transitions.
  3. Mental Model: Provide an intuitive analogy from daily life or foundational computer science.
  4. Code Example: Provide a concise, runnable, and idiomatic code snippet illustrating the concept in practice.
  5. Common Pitfalls: Highlight common mistakes, anti-patterns, and performance or security traps.
  6. Best Practices: State concrete production recommendations and guidelines for when and when not to use it.
  7. Related Concepts: Connect the topic to 2-3 adjacent concepts, tools, or design patterns.

Output Format

Output using this structured markdown template:

# Learn: <Concept>

## 1. Simple Summary (ELI5)
<Plain language explanation capturing core value>

## 2. Technical Mechanics
<Detailed explanation of underlying architecture, algorithms, and lifecycle>

## 3. Mental Model
<Concrete analogy explaining the concept intuitively>

## 4. Code Example
```<language>
// Minimal, self-contained, and runnable example

5. Common Pitfalls

  • <Pitfall 1>: <Why developers make this mistake and how to prevent it>
  • <Pitfall 2>: <Why developers make this mistake and how to prevent it>

6. Best Practices

  • <Practice 1>: <Concrete operational recommendation>
  • <Practice 2>: <Concrete operational recommendation>

7. Related Concepts

  • <Concept A>: <How it relates or differs>
  • <Concept B>: <How it relates or differs>

## Rules

- Ground explanations in technical reality; avoid marketing buzzwords or hand-waving.
- Keep code examples minimal: focus strictly on illustrating the target concept.
- If the concept is ambiguous, explain the most common usage first and mention the alternative.

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