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viknesh20-20viknesh20-20/claude-code-tool-kit/.claude/skills/explain-code/SKILL.md

explain-code

Skill7 starsChanged 6 months agoMITView on GitHub

Explains code with multiple levels of detail — high-level purpose, line-by-line walkthrough, data flow diagrams, and design rationale. Use when onboarding to unfamiliar code or trying to understand complex logic.

48 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use explore-codebase, copy-editing and 6 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.
  • srclightSkill

    explore-codebase

    This skill should be used when the user asks to "explore this codebase", "understand this project", "give me an overview", "how does this work", "onboard me", "walk me through the architecture", "map the codebase", or any request to understand a codebase's structure, architecture, or design.

    Also in 3 projects that use this

  • silvainfmSkill

    copy-editing

    When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.

    Also in 3 projects that use this

  • silvainfmSkill

    pricing-strategy

    When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy.

    Also in 3 projects that use this

  • SentrySkill

    marketing-psychology

    When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'mental models,' 'cognitive bias,' 'persuasion,' 'behavioral science,' 'why people buy,' 'decision-making,' or 'consumer behavior.' This skill provides 70+ mental models organized for marketing application.

    Also in 3 projects that use this

  • Google CloudSkill

    open-pr

    Commits local changes to a new Git branch and opens a GitHub pull request through the configured GitHub MCP server. Use when proposing code changes in a new pull request. Don't use for local-only commits without a remote GitHub repository.

    Also in 3 projects that use this

  • SentrySkill

    commit

    Create commit messages following Sentry conventions. Use when committing code changes, writing commit messages, or formatting git history. Follows conventional commits with Sentry-specific issue references.

    Also in 9 projects that use this

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 41 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Read the specified file, function, or module completely.

    line 13
  2. Distinctive:

    Create an ASCII diagram showing:

    line 38
  3. Distinctive:

    Use clear section headers

    line 57
  4. Distinctive:

    Use analogies where helpful

    line 59

“Common” is measured: kept by at least 6 in 10 of the 41 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

Code Explanation

Instructions

Step 1: Identify the Target

Read the specified file, function, or module completely. Also read:

  • Any imports/dependencies it uses
  • Any files that import/call it (to understand usage context)
  • Recent git history for the file: git log --oneline -10 <file>

Step 2: Provide Multi-Level Explanation

Level 1 — One-Sentence Summary

What does this code do in plain English? A non-technical person should understand this.

Level 2 — High-Level Overview

  • Purpose: What problem does it solve?
  • Inputs: What goes in? (parameters, config, env vars, external data)
  • Outputs: What comes out? (return values, side effects, events emitted)
  • Dependencies: What does it rely on?
  • Callers: Who uses this? In what context?

Level 3 — Detailed Walkthrough

Walk through the code section by section:

  • Explain the logic flow with numbered steps
  • Highlight non-obvious decisions ("this uses X instead of Y because...")
  • Note any error handling and what triggers each path
  • Explain any performance-sensitive sections

Level 4 — Data Flow Diagram

Create an ASCII diagram showing:

[Input] → [Processing Step 1] → [Processing Step 2] → [Output]
                ↓                       ↓
         [Side Effect 1]         [Side Effect 2]

Step 3: Highlight Key Details

  • Tricky Parts: Code that might confuse a new reader
  • Assumptions: Implicit assumptions the code makes
  • Edge Cases: How are boundary conditions handled?
  • History: Why was it written this way? (use git blame for context)

Step 4: Related Code

List the most important related files/functions that someone exploring this code should read next.


Output Style

  • Use clear section headers
  • Include code snippets with line references
  • Use analogies where helpful
  • Adjust technical depth based on the complexity of the code

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