Crafting Effective READMEs

Overview

Identify the audience first. Match sections, depth, and tone to what that audience needs.

User Input

User request: $ARGUMENTS

If $ARGUMENTS is non-empty, extract the task type (creating, adding, updating, reviewing) and project type (OSS, personal, internal, config) from it. Skip Step 1 and proceed to Step 2. Only ask clarifying questions if the task or project type is entirely unclear.

If $ARGUMENTS is empty, begin at Step 1.

Quick Workflow

Copy this checklist:

README Progress:
- [ ] Task identified: Creating / Adding / Updating / Reviewing
- [ ] Audience identified: _____
- [ ] Project type: OSS / Personal / Internal / Config
- [ ] Template selected from templates/
- [ ] Draft complete
- [ ] Verified: draft matches actual project state (package.json, directory structure, commands)
- [ ] Asked: "Anything else to highlight or include that I might have missed?"

Process

Step 1: Identify the Task

Ask: "What README task are you working on?"

Task	When
Creating	New project, no README yet
Adding	Need to document something new
Updating	Capabilities changed, content is stale
Reviewing	Checking if README is still accurate

Step 2: Task-Specific Questions

Creating initial README:

1. What type of project? (see Project Types below)
2. What problem does this solve in one sentence?
3. What's the quickest path to "it works"?
4. Anything notable to highlight?

Adding a section:

1. What needs documenting?
2. Where should it go in the existing structure?
3. Who needs this info most?

Updating existing content:

1. What changed?
2. Read current README, identify stale sections
3. Propose specific edits

Reviewing/refreshing:

1. Read current README
2. Check against actual project state (package.json, main files, etc.)
3. Flag outdated sections
4. Update "Last reviewed" date if present

Step 3: Always Ask

After drafting, ask: "Anything else to highlight or include that I might have missed?"

Project Types

Type	Audience	Key Sections	Template
Open Source	Contributors, users worldwide	Install, Usage, Contributing, License	assets/templates/oss.md
Personal	Future you, portfolio viewers	What it does, Tech stack, Learnings	assets/templates/personal.md
Internal	Teammates, new hires	Setup, Architecture, Runbooks	assets/templates/internal.md
Config	Future you (confused)	What's here, Why, How to extend, Gotchas	assets/templates/xdg-config.md

Ask the user if unclear. Don't assume OSS defaults for everything.

Essential Sections (All Types)

Every README needs at minimum:

1. Name - Self-explanatory title
2. Description - What + why in 1-2 sentences
3. Usage - How to use it (examples help)

Examples

**Task:** Creating README for OSS CLI tool

Before (typical first draft):

# mytool
A tool for doing stuff with files.

## Installation
npm install mytool

## Usage
mytool [options]

After (audience-focused):

# mytool
Convert CSV files to JSON with one command. Handles messy data, encoding issues, and files up to 2GB.

## Quick Start
```bash
npm install -g mytool
mytool input.csv > output.json

Common Use Cases

# Skip header row
mytool --skip-header data.csv

# Handle non-UTF8 encoding
mytool --encoding latin1 legacy.csv

**Why better:** Shows the problem it solves, demonstrates real scenarios, gives copy-paste commands.
</example>

<example>
**Task:** Updating README after adding new feature

**Before (buried in wall of text):**
```markdown
## Features
This tool does X, Y, Z. It also now supports authentication via OAuth which can be configured using environment variables or a config file.

After (scannable, actionable):

## Features
- **X** - Does this
- **Y** - Does that
- **Z** - Does the other thing
- **OAuth auth** (new in v2.0) - See [Authentication](#authentication)

## Authentication
Set `MYTOOL_OAUTH_TOKEN` or add to `~/.mytoolrc`:
```yaml
auth:
  provider: oauth
  token: your-token

**Why better:** New feature is discoverable, has its own section, shows exactly how to use it.
</example>

<example>
**Task:** Config folder README (for future-you)

**Before (no README or unhelpful):**
```markdown
# Config
My config files.

After (answers future-you's questions):

# Neovim Config

## What's Here
- `init.lua` - Entry point, loads everything else
- `lua/plugins/` - Plugin configs (lazy.nvim)
- `lua/keymaps.lua` - All custom keybindings

## Key Choices
- **Why lazy.nvim?** Fastest loader, good defaults
- **Why no LSP here?** Using Mason, see `lua/plugins/lsp.lua`

## Gotchas
- Run `:Lazy sync` after pulling changes
- `<leader>` is space (set in init.lua line 12)

Why better: Future-you at 2am will thank past-you for the "Gotchas" section.

**Task:** Creating README for internal team service

Before (missing operational context):

# User Service
Handles users.

## Setup
Run `docker compose up`.

After (onboarding-ready):

# User Service

Manages authentication, profiles, and role-based access for the platform.

**Team**: #platform-eng | **On-call**: PagerDuty rotation

## Dependencies
- **Upstream**: PostgreSQL, Redis, Auth0
- **Downstream**: Billing Service, Notification Service

## Local Setup

### Prerequisites
- Docker Desktop >= 4.x
- Access to 1Password `Platform Eng` vault for env vars

### Run

```bash
cp .env.example .env        # then fill from 1Password
docker compose up -d
curl http://localhost:3000/health   # expect {"status":"ok"}

Tests

npm test                     # unit tests
npm run test:integration     # requires running Docker services

Troubleshooting

Auth0 callback fails locally

Fix: Set AUTH0_BASE_URL=http://localhost:3000 in .env. The default points to staging.

**Why better:** New team members can run the service in under 5 minutes. Troubleshooting section prevents the most common support question.
</example>

<example>
**Task:** Reviewing an existing README for accuracy

**Before (stale, misleading):**
```markdown
# datakit
A Python library for CSV processing.

## Installation
pip install datakit

## Usage
```python
from datakit import process
process("input.csv")

**Review findings:**
1. Project now supports JSON and Parquet (added 6 months ago), not just CSV
2. `process()` was renamed to `transform()` in v2.0
3. Requires Python 3.10+, not mentioned anywhere
4. No mention of the new CLI interface added in v1.8

**After (accurate, current):**
```markdown
# datakit
Transform CSV, JSON, and Parquet files with a single API or CLI command.

## Installation
Requires Python 3.10+

```bash
pip install datakit

Usage

Python API

from datakit import transform
transform("input.csv", output_format="json")

CLI

datakit convert input.csv --to json
datakit convert data.parquet --to csv

**Why better:** Every section matches the actual project state. Stale docs erode trust faster than no docs.
</example>

## References

| File | Purpose |
|------|---------|
| `references/section-checklist.md` | Which sections to include by project type |
| `references/style-guide.md` | Common README mistakes and prose guidance |
| `references/art-of-readme.md` | Philosophy: cognitive funneling, brevity, key elements |
| `references/make-a-readme.md` | Section-by-section guidance for what to include |
| `references/standard-readme-spec.md` | Formal spec for standardised README format |
| `references/standard-readme-example-minimal.md` | Minimal compliant README example |
| `references/standard-readme-example-maximal.md` | Full-featured README example |
| `assets/templates/` | Ready-to-use templates: oss, personal, internal, xdg-config |