self-explanatory-code-commenting
Guidelines for GitHub Copilot to write comments to achieve self-explanatory code with less comments. Examples are in JavaScript but it should work on any language that has comments. Triggers on: **
Best use case
self-explanatory-code-commenting is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Guidelines for GitHub Copilot to write comments to achieve self-explanatory code with less comments. Examples are in JavaScript but it should work on any language that has comments. Triggers on: **
Teams using self-explanatory-code-commenting should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/self-explanatory-code-commenting/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How self-explanatory-code-commenting Compares
| Feature / Agent | self-explanatory-code-commenting | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Guidelines for GitHub Copilot to write comments to achieve self-explanatory code with less comments. Examples are in JavaScript but it should work on any language that has comments. Triggers on: **
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Self-explanatory Code Commenting Instructions
## Core Principle
**Write code that speaks for itself. Comment only when necessary to explain WHY, not WHAT.**
We do not need comments most of the time.
## Commenting Guidelines
### ❌ AVOID These Comment Types
**Obvious Comments**
```javascript
// Bad: States the obvious
let counter = 0; // Initialize counter to zero
counter++; // Increment counter by one
```
**Redundant Comments**
```javascript
// Bad: Comment repeats the code
function getUserName() {
return user.name; // Return the user's name
}
```
**Outdated Comments**
```javascript
// Bad: Comment doesn't match the code
// Calculate tax at 5% rate
const tax = price * 0.08; // Actually 8%
```
### ✅ WRITE These Comment Types
**Complex Business Logic**
```javascript
// Good: Explains WHY this specific calculation
// Apply progressive tax brackets: 10% up to 10k, 20% above
const tax = calculateProgressiveTax(income, [0.10, 0.20], [10000]);
```
**Non-obvious Algorithms**
```javascript
// Good: Explains the algorithm choice
// Using Floyd-Warshall for all-pairs shortest paths
// because we need distances between all nodes
for (let k = 0; k < vertices; k++) {
for (let i = 0; i < vertices; i++) {
for (let j = 0; j < vertices; j++) {
// ... implementation
}
}
}
```
**Regex Patterns**
```javascript
// Good: Explains what the regex matches
// Match email format: username@domain.extension
const emailPattern = /^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$/;
```
**API Constraints or Gotchas**
```javascript
// Good: Explains external constraint
// GitHub API rate limit: 5000 requests/hour for authenticated users
await rateLimiter.wait();
const response = await fetch(githubApiUrl);
```
## Decision Framework
Before writing a comment, ask:
1. **Is the code self-explanatory?** → No comment needed
2. **Would a better variable/function name eliminate the need?** → Refactor instead
3. **Does this explain WHY, not WHAT?** → Good comment
4. **Will this help future maintainers?** → Good comment
## Special Cases for Comments
### Public APIs
```javascript
/**
* Calculate compound interest using the standard formula.
*
* @param {number} principal - Initial amount invested
* @param {number} rate - Annual interest rate (as decimal, e.g., 0.05 for 5%)
* @param {number} time - Time period in years
* @param {number} compoundFrequency - How many times per year interest compounds (default: 1)
* @returns {number} Final amount after compound interest
*/
function calculateCompoundInterest(principal, rate, time, compoundFrequency = 1) {
// ... implementation
}
```
### Configuration and Constants
```javascript
// Good: Explains the source or reasoning
const MAX_RETRIES = 3; // Based on network reliability studies
const API_TIMEOUT = 5000; // AWS Lambda timeout is 15s, leaving buffer
```
### Annotations
```javascript
// TODO: Replace with proper user authentication after security review
// FIXME: Memory leak in production - investigate connection pooling
// HACK: Workaround for bug in library v2.1.0 - remove after upgrade
// NOTE: This implementation assumes UTC timezone for all calculations
// WARNING: This function modifies the original array instead of creating a copy
// PERF: Consider caching this result if called frequently in hot path
// SECURITY: Validate input to prevent SQL injection before using in query
// BUG: Edge case failure when array is empty - needs investigation
// REFACTOR: Extract this logic into separate utility function for reusability
// DEPRECATED: Use newApiFunction() instead - this will be removed in v3.0
```
## Anti-Patterns to Avoid
### Dead Code Comments
```javascript
// Bad: Don't comment out code
// const oldFunction = () => { ... };
const newFunction = () => { ... };
```
### Changelog Comments
```javascript
// Bad: Don't maintain history in comments
// Modified by John on 2023-01-15
// Fixed bug reported by Sarah on 2023-02-03
function processData() {
// ... implementation
}
```
### Divider Comments
```javascript
// Bad: Don't use decorative comments
//=====================================
// UTILITY FUNCTIONS
//=====================================
```
## Quality Checklist
Before committing, ensure your comments:
- [ ] Explain WHY, not WHAT
- [ ] Are grammatically correct and clear
- [ ] Will remain accurate as code evolves
- [ ] Add genuine value to code understanding
- [ ] Are placed appropriately (above the code they describe)
- [ ] Use proper spelling and professional language
## Summary
Remember: **The best comment is the one you don't need to write because the code is self-documenting.**Related Skills
self-improvement-3
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
self-improvement-2
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
reflect-yourself
Self-learning system that captures corrections, discovers workflow patterns, and syncs learnings to skills and rules. Use when ending a session, after corrections, or when the user wants to formalize learnings (v1.0.5).
code-commenting
Comprehensive code commenting methodology for Python projects. Use when user asks to add comments, annotations, or documentation to Python code files. Provides structured approach with module docstrings, class/function documentation, section separators, and inline comments.
a11y-self-check
Proactively validates Claude Code's own generated HTML/JSX/TSX output for accessibility before presenting to users. Use this skill automatically when generating UI code to ensure WCAG 2.1 AA compliance.
self-subagent
Orchestrate parallel sub-tasks by spawning non-interactive instances of your own CLI as subagents. Use when you need to parallelize work across multiple files, run independent investigations simultaneously, or delegate heavy multi-step tasks. Works with ANY AI coding CLI agent (Amp, Claude Code, Codex, Cursor, OpenCode, aider, Cline, Roo, goose, Windsurf, Copilot CLI, pi, etc.). Triggers on "run in parallel", "subagent", "delegate", "fan out", "concurrent tasks", or any complex task that benefits from parallel execution.
self-improving-ai
Understanding and using StickerNest's self-improving AI system. Use when the user asks about AI self-improvement, prompt versioning, reflection loops, AI evaluation, auto-tuning prompts, or the AI judge system. Covers AIReflectionService, stores, and the improvement loop.
repo-a-policy-selftest-gate
Enforce Repo A DDC policy and acceptance gates before PRs. Use when changing policy files, node runtime behavior, guardrail-sensitive config, or validation tooling that must satisfy AGENTS.md acceptance commands.
Add prerequisite install script for Python deps (self-contained skill)
No description provided.
alto-self-fix
Use when ALTO needs to fix itself via GitHub issues. Procedural workflow for running /alto-self-fix or solving issues through ALTO's self-improvement process.
self-improvement
Zoe's self-improvement system - learns from corrections and user preferences
Agent Self-Correction
AI agent self-correction mechanisms: error detection, validation loops, recovery strategies, confidence scoring, and iterative refinement