Research: Production-Grade CLI Tool Documentation Best Practices¶

Date: 2025-11-14 Status: Complete Context: Research to inform GitHub issue for inkwell-cli documentation improvements

Executive Summary¶

This research synthesizes best practices from authoritative sources including clig.dev (CLI Guidelines), well-documented projects (GitHub CLI, uv, Typer), Python packaging guides (pyOpenSci), and industry standards. The findings cover five key areas: CLI-specific documentation, Python project standards, developer experience, user experience, and modern tooling recommendations.

1. CLI Tool Documentation Best Practices¶

1.1 Core Philosophy (Source: clig.dev)¶

Human-First Design: - Modern CLIs should prioritize user experience over legacy UNIX constraints - "If a command is going to be used primarily by humans, it should be designed for humans first" - Balance machine composability with human readability

The Basics (Non-Negotiable): - Use argument parsing libraries (never roll your own) - Return zero exit codes for success, non-zero for failure - Send primary output to stdout, messaging to stderr - Handle interrupts (Ctrl-C) gracefully - Display help via -h or --help flags

1.2 Help & Discovery¶

Essential Help Requirements: - Show concise help when commands run without required arguments - Include usage examples, common flags, and instructions to access full documentation - Structure help with clear headings (USAGE, OPTIONS, EXAMPLES, COMMANDS) - "The CLI help screen is essentially your getting started documentation for the command line"

Multi-Layered Documentation: 1. Built-in help text (--help) 2. Terminal-based documentation accessible through the tool 3. Web-based docs (searchable, linkable, accessible) 4. Man pages (for discoverability on Unix systems)

Discovery Patterns: - Make functionality learnable through examples and helpful suggestions - Suggest command corrections for invalid input - Guide users through multi-step workflows - Provide "See what to do next" suggestions in output

1.3 Examples from Well-Documented CLIs¶

GitHub CLI (gh): - Main documentation at cli.github.com with manual and quickstart - Command structure: gh <command> <subcommand> [flags] - Organized command groups (Core Commands, Extension Commands) - Platform-specific installation guides (macOS, Linux, Windows, from source) - Comparison with predecessor tools (gh-vs-hub.md)

uv (Astral): Documentation structure follows progressive disclosure: 1. Introduction - Overview, key features, speed benchmarks 2. Getting Started - Installation, first steps, help resources 3. Guides - Practical tutorials (Installing Python, running scripts, Docker integration, etc.) 4. Concepts - Deep technical understanding (projects, resolution, caching) 5. Reference - CLI commands, settings, environment variables, troubleshooting

1.4 Output & Error Handling¶

Output Best Practices: - Display status updates for state-changing operations - Use human-readable formatting as default - Offer --json and --plain flags for machine integration - Include brief, meaningful output on success - Reserve verbose output for explicit requests (--verbose or -v)

Error Handling: - Rewrite technical errors into actionable guidance - Minimize noise; group similar errors under explanatory headers - Place critical information where users will notice it - Provide debug information only when explicitly requested

2. Python Project Documentation Standards¶

2.1 README.md Structure (Source: pyOpenSci)¶

Essential Sections (In Order): 1. Package Name - Ideally matching repository name 2. Badges - Version, CI/CD status, docs build, coverage 3. Description - 1-3 sentences, accessible to "high school level" audience 4. Key Features - Bullet list of main capabilities 5. Installation - Multiple package managers if applicable 6. Quick Start - Brief, functional code example 7. Documentation Links - Descriptive links to full docs 8. Usage Examples - Common workflows 9. Contributing - Link to CONTRIBUTING.md 10. License - License type and link 11. Citation - DOI and preferred format (if academic)

Badge Recommendations: - PyPI version - CI/CD test status (GitHub Actions, etc.) - Documentation build status - Code coverage percentage - License type - Python version compatibility

Writing Guidelines: - Target accessible language for varied backgrounds - Keep descriptions concise - Link to detailed docs rather than embedding lengthy content - Limit badges to avoid visual clutter (5-7 maximum)

2.2 Docstring Standards (PEP 257 + Extensions)¶

PEP 257 Basics: - Always use """triple double quotes""" - Two forms: one-liners and multi-line docstrings - Multi-line: summary line + blank line + detailed description

Popular Format Styles:

Google Style (Recommended for readability):

def function(arg1: str, arg2: int) -> bool:
    """Summary line describing the function.

    Longer description providing more context about what
    this function does and when to use it.

    Args:
        arg1: Description of arg1
        arg2: Description of arg2

    Returns:
        Description of return value

    Raises:
        ValueError: When invalid input is provided

    Example:
        >>> function("test", 42)
        True
    """

NumPy Style (For scientific/data libraries): - Extension of Google style with more detailed sections - Well-suited for scientific computing libraries - Includes Parameters, Returns, Raises, See Also, Notes, Examples sections

Tool Support: - Sphinx napoleon extension parses Google/NumPy styles - Pydocstyle supports: pep257 (default), numpy, google conventions - Ruff includes docstring checks (pydocstyle reimplemented in Rust)

2.3 Documentation Tools & Generation¶

Sphinx (Industry Standard): - Automatic API documentation from docstrings - Extensions: autodoc, napoleon, autosummary - Themes: Read the Docs, PyData, Furo, Book - Configuration: docs/conf.py

Sphinx autodoc Best Practices: - Add autodoc to enabled extensions in conf.py - Use :members: to show all documented class members - Set autodoc_member_order = "bysource" for source ordering - Mock dependencies with autodoc_mock_imports

Sphinx AutoAPI (Alternative): - Generates docs without importing code (safer for complex dependencies) - Automatic discovery of all modules - No manual authoring of API directives - Better for projects with complex import requirements

sphinx-apidoc Tool: - Generates reStructuredText source files from code - Automates creation of API reference structure - Command: sphinx-apidoc -o docs/source mypackage/

2.4 Project Structure (Source: Hitchhiker's Guide to Python)¶

Standard Python Project Layout:

project-name/
├── .github/
│   ├── CONTRIBUTING.md
│   ├── CODE_OF_CONDUCT.md
│   └── SECURITY.md
├── docs/
│   ├── conf.py
│   ├── index.rst
│   ├── installation.rst
│   ├── usage.rst
│   ├── api.rst
│   └── contributing.rst
├── src/
│   └── package_name/
│       ├── __init__.py
│       ├── __main__.py
│       └── ...
├── tests/
│   └── ...
├── .gitignore
├── CHANGELOG.md
├── LICENSE
├── README.md
├── pyproject.toml
└── setup.py (if needed)

Key File Purposes: - README.md - Project overview and quick start - CHANGELOG.md - Version history (Keep a Changelog format) - CONTRIBUTING.md - Contribution guidelines - CODE_OF_CONDUCT.md - Community standards - LICENSE - Software license - SECURITY.md - Security policy and vulnerability reporting

3. Developer Experience (DX) Best Practices¶

3.1 CONTRIBUTING.md Structure (Source: contributing.md, GitHub)¶

Essential Contents: 1. Welcome Message - Encouraging note about contributions 2. Table of Contents - If file is lengthy 3. Code of Conduct - Link to CODE_OF_CONDUCT.md 4. Ways to Contribute - Code, docs, bug reports, feature requests 5. Development Setup - Prerequisites (Python version, system dependencies) - Installation steps using project's package manager - Running tests - Running linters 6. Project Structure - Brief overview of directory layout 7. Coding Standards - Style guide (PEP 8, project-specific deviations) - Docstring requirements - Type hint expectations 8. Testing Guidelines - Where tests are located - How to run tests - Coverage expectations - Writing new tests 9. Pull Request Process - Branch naming conventions - Commit message format - PR title/description requirements - Review process and timelines 10. Documentation Requirements - When to update docs - How to build docs locally 11. Getting Help - Communication channels (Discord, Slack, GitHub Discussions)

Python-Specific Recommendations: - Reference PEP 8 with any project-specific deviations - Specify docstring format (Google, NumPy, reStructuredText) - Document required Python version and dependency management tool - Include changelog entry requirements for all PRs - Credit contributors in changelog entries

Pull Request Guidelines: - Always make a new branch for work - Don't submit unrelated changes in same PR - Include tests for behavior changes - For significant changes, open an issue first for discussion - Focused PRs get merged faster

3.2 Development Setup Documentation¶

Prerequisites Section: - Operating system requirements - Python version (use python --version format) - System dependencies (ffmpeg, build tools, etc.) - API keys or credentials needed

Installation Instructions:

## Development Setup

### Prerequisites
- Python 3.10 or higher
- ffmpeg (for audio processing)
- API keys: Anthropic Claude, Google Gemini

### Installation
1. Clone the repository:
   ```bash
   git clone https://github.com/user/project.git
   cd project
   ```

2. Install dependencies:
   ```bash
   uv sync --dev
   ```

3. Configure environment:
   ```bash
   cp .env.example .env
   # Edit .env with your API keys
   ```

4. Verify installation:
   ```bash
   uv run project --version
   ```

3.3 Testing Documentation¶

What to Include: - Testing framework used (pytest, unittest) - How to run full test suite - How to run specific tests - Coverage reporting - Test file organization - Writing new tests guidelines

Example:

## Testing

This project uses pytest for testing.

### Running Tests
```bash
# Run all tests
uv run pytest

# Run specific test file
uv run pytest tests/test_transcription.py

# Run with coverage report
uv run pytest --cov=inkwell --cov-report=html

Test Organization¶

tests/unit/ - Unit tests for individual functions
tests/integration/ - Integration tests

tests/fixtures/ - Test data and fixtures

### 3.4 Architecture Documentation

**Architecture Decision Records (ADRs):**
- Small text files in Markdown format
- Capture context, decision, and consequences
- Location: `docs/adr/` or `docs/architecture/`
- Use sequential numbering: `001-decision-name.md`
- Template: MADR (Markdown Any Decision Records)

**ADR Structure:**
```markdown
# ADR-NNN: [Decision Title]

**Status:** [Proposed | Accepted | Rejected | Superseded by ADR-XXX]
**Date:** YYYY-MM-DD
**Deciders:** [List of people involved]

## Context
What is the issue we're facing?

## Decision
What did we decide to do?

## Consequences
What are the positive and negative outcomes?

## Alternatives Considered
What other options did we evaluate?

Benefits: - Prevents "decision amnesia" - Provides context for future developers - Helps AI assistants make better suggestions - Documents the "why" behind choices

Tools: - adr-tools - CLI for managing ADRs - pyadr - Python-specific ADR management - adr-viewer - Python-based viewer for ADRs

4. User Experience (UX) Best Practices¶

4.1 Quick Start Guide Structure¶

Progressive Difficulty: 1. Installation - Single command if possible 2. First Command - Simplest possible use case 3. Common Workflow - Most typical usage pattern 4. Next Steps - Links to tutorials and advanced features

Example Structure:

## Quick Start

### 1. Install
```bash
pip install inkwell-cli

2. Configure¶

inkwell config --api-key YOUR_KEY

3. Process Your First Podcast¶

inkwell process https://example.com/feed.rss --latest

Next Steps¶

Tutorial: Complete Workflow
Configuration Guide

Command Reference

### 4.2 Tutorial Progression

**Typer Documentation Model:**
- Start simple, grow complex
- "The simplest example adds only 2 lines of code"
- Scaffold from basic scripts to sophisticated applications

**Recommended Tutorial Structure:**
1. **Fundamentals** - Installation, first steps, basic usage
2. **Core Features** - Main workflows, common patterns
3. **Configuration** - Customization options
4. **Advanced Features** - Complex scenarios, integrations
5. **Best Practices** - Tips, common pitfalls, optimization

**Tutorial Best Practices:**
- Each tutorial should be completable in 5-15 minutes
- Include copy-pasteable code examples
- Show expected output for each command
- Link to reference docs for deep dives
- Provide downloadable example files/repos

### 4.3 Troubleshooting & FAQ

**Troubleshooting Structure:**
```markdown
## Troubleshooting

### Common Issues

#### Issue: Command Not Found
**Symptoms:** `bash: inkwell: command not found`

**Cause:** Package not in PATH or not installed globally

**Solution:**
```bash
# Option 1: Use uv run
uv run inkwell --version

# Option 2: Install globally
pipx install inkwell-cli

Issue: API Rate Limiting¶

Symptoms: Error: Rate limit exceeded

Cause: Too many requests to API

Solution: Add delays between requests or use batch mode

**FAQ Organization:**
- Group by topic (Installation, Configuration, Usage, Errors)
- Use clear question format for headers
- Provide concise, actionable answers
- Link to relevant documentation sections
- Include search-friendly keywords

**Recommended Sections:**
- Installation & Setup
- Configuration & API Keys
- Common Errors & Solutions
- Performance & Optimization
- Integration & Compatibility

### 4.4 Example Repositories & Templates

**Provide:**
- Starter templates in separate repository
- Example configurations for common use cases
- Sample output to show expected results
- Integration examples (CI/CD, Docker, etc.)

**Example:**
```markdown
## Examples

### Basic Usage
See [examples/basic/](examples/basic/) for simple podcast processing

### Advanced Workflows
- [CI/CD Integration](examples/github-actions/)
- [Docker Deployment](examples/docker/)
- [Batch Processing](examples/batch/)

### Configuration Templates
- [Minimal Config](examples/configs/minimal.yaml)
- [Production Config](examples/configs/production.yaml)

5. Documentation Tooling & Frameworks¶

5.1 Modern Documentation Frameworks¶

MkDocs Material (Recommended for Python projects)

Pros: - Simple configuration (YAML-based) - Beautiful Material Design theme - Markdown-centric (no complex markup) - Fast setup (Python + pip) - Excellent search functionality - Code syntax highlighting built-in - Ideal for API and software architecture docs

Cons: - Less suitable for single-page applications - Fewer interactive features than React-based alternatives

Setup:

pip install mkdocs-material
mkdocs new .
mkdocs serve  # Local preview
mkdocs build  # Generate static site

Configuration (mkdocs.yml):

site_name: Inkwell CLI
site_url: https://inkwell.example.com
theme:
  name: material
  features:
    - navigation.tabs
    - navigation.sections
    - toc.integrate
    - search.suggest
    - search.highlight
    - content.code.copy
nav:
  - Home: index.md
  - Getting Started:
    - Installation: getting-started/installation.md
    - Quick Start: getting-started/quickstart.md
  - User Guide:
    - Configuration: guide/configuration.md
    - Processing Podcasts: guide/processing.md
  - Reference:
    - CLI Commands: reference/commands.md
    - API: reference/api.md
  - Contributing: contributing.md

Docusaurus (Alternative for React-heavy projects)

Pros: - React-based single-page application - Highly interactive - Versioned documentation support - MDX support (Markdown + JSX) - Large ecosystem of plugins

Cons: - More complex setup (Node.js required) - Higher resource usage for generation/display - Overkill for straightforward documentation

When to Choose: - MkDocs: Backend tools, API docs, straightforward documentation, faster setup - Docusaurus: Need SPA, interactive features, React integration, versioning

5.2 API Documentation Generators¶

Sphinx with Napoleon (Traditional approach):

# conf.py
extensions = [
    'sphinx.ext.autodoc',
    'sphinx.ext.napoleon',
    'sphinx.ext.viewcode',
    'sphinx.ext.intersphinx',
]

napoleon_google_docstring = True
napoleon_numpy_docstring = True
napoleon_include_init_with_doc = True
autodoc_member_order = 'bysource'

Sphinx AutoAPI (Modern alternative):

# conf.py
extensions = ['autoapi.extension']
autoapi_type = 'python'
autoapi_dirs = ['../src/inkwell']
autoapi_options = [
    'members',
    'undoc-members',
    'show-inheritance',
    'show-module-summary',
    'imported-members',
]

pdoc (Lightweight alternative): - Simpler than Sphinx - Automatic generation from docstrings - No configuration needed - Command: pdoc --html --output-dir docs mypackage

5.3 Documentation Testing & Validation¶

Doctest: - Test code examples in docstrings - Ensures examples stay up-to-date

def add(a: int, b: int) -> int:
    """Add two numbers.

    Example:
        >>> add(2, 3)
        5
    """
    return a + b

Markdown Link Checking: - Tool: markdown-link-check - CI integration to catch broken links

npm install -g markdown-link-check
markdown-link-check README.md

Spell Checking: - Tool: codespell (Python) - Catches typos in documentation

pip install codespell
codespell docs/

5.4 Documentation Hosting¶

Read the Docs: - Free for open source - Automatic builds from GitHub - Versioned documentation - Search functionality - Sphinx and MkDocs support

GitHub Pages: - Free for public repositories - Custom domains supported - GitHub Actions integration - Good for MkDocs Material

Setup Example (GitHub Actions + MkDocs):

# .github/workflows/docs.yml
name: Deploy Docs
on:
  push:
    branches: [main]
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - uses: actions/setup-python@v4
      - run: pip install mkdocs-material
      - run: mkdocs gh-deploy --force

6. CHANGELOG Best Practices¶

6.1 Keep a Changelog Format¶

Standard Structure:

# Changelog

All notable changes to this project will be documented in this file.

The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).

## [Unreleased]
### Added
- New feature X for improved Y

### Changed
- Updated dependency Z to version 2.0

### Fixed
- Bug where A caused B

## [1.0.0] - 2025-11-14
### Added
- Initial release
- Feature A
- Feature B

[Unreleased]: https://github.com/user/repo/compare/v1.0.0...HEAD
[1.0.0]: https://github.com/user/repo/releases/tag/v1.0.0

Change Categories: - Added - New features - Changed - Changes in existing functionality - Deprecated - Soon-to-be removed features - Removed - Removed features - Fixed - Bug fixes - Security - Security vulnerability fixes

Best Practices: - Keep "Unreleased" section at top for upcoming changes - Use semantic versioning (MAJOR.MINOR.PATCH) - Focus on user-facing changes, not internal refactoring - Credit contributors in entries - Link to GitHub releases/tags

6.2 Automation Tools¶

commitizen: - Enforces conventional commit format - Automatically bumps version - Generates changelog from commits

pip install commitizen
cz init
cz commit  # Interactive commit message builder
cz bump  # Bump version and update changelog

keepachangelog (Python package): - Parse and manipulate Keep a Changelog formatted files

from keepachangelog import to_dict
changes = to_dict("CHANGELOG.md")

7. Code of Conduct¶

7.1 Standard Templates¶

Contributor Covenant (Most Popular): - Used by 40,000+ projects (Kubernetes, Rails, Swift) - Available at contributor-covenant.org - Current version: 2.1 - Drop-in template, just add contact info

Python Community Code of Conduct: - Python.org/psf/conduct/ - Specifically tailored to Python projects - Emphasizes being open, considerate, and respectful

Key Elements: 1. Our Pledge - Commitment to inclusive environment 2. Our Standards - Examples of positive/negative behavior 3. Enforcement Responsibilities - Who enforces and how 4. Scope - Where code applies 5. Enforcement - Reporting process and consequences 6. Attribution - Credit to template source

7.2 File Location¶

GitHub recognizes CODE_OF_CONDUCT.md in: - Repository root: /CODE_OF_CONDUCT.md - Docs directory: /docs/CODE_OF_CONDUCT.md - .github directory: /.github/CODE_OF_CONDUCT.md

When present, GitHub automatically links to it when contributors create issues or PRs.

8. Recommended Documentation Structure for Inkwell CLI¶

Based on all research, here's the recommended structure:

inkwell-cli/
├── .github/
│   ├── CONTRIBUTING.md
│   ├── CODE_OF_CONDUCT.md
│   └── SECURITY.md
├── docs/
│   ├── index.md (landing page)
│   ├── getting-started/
│   │   ├── installation.md
│   │   ├── configuration.md
│   │   └── quick-start.md
│   ├── user-guide/
│   │   ├── adding-feeds.md
│   │   ├── processing-episodes.md
│   │   ├── interview-mode.md
│   │   ├── output-structure.md
│   │   └── obsidian-integration.md
│   ├── tutorials/
│   │   ├── first-podcast.md
│   │   ├── private-feeds.md
│   │   └── batch-processing.md
│   ├── reference/
│   │   ├── cli-commands.md
│   │   ├── configuration-options.md
│   │   ├── environment-variables.md
│   │   └── api/  (Sphinx-generated)
│   ├── troubleshooting/
│   │   ├── common-issues.md
│   │   ├── faq.md
│   │   └── error-codes.md
│   ├── development/
│   │   ├── setup.md
│   │   ├── testing.md
│   │   ├── architecture.md
│   │   └── contributing.md
│   ├── adr/  (existing)
│   ├── devlog/  (existing)
│   ├── lessons/  (existing)
│   └── research/  (existing)
├── examples/
│   ├── basic-usage/
│   ├── advanced-workflows/
│   └── configs/
├── CHANGELOG.md
├── README.md
└── mkdocs.yml

9. Priority Recommendations for Inkwell CLI¶

9.1 Must Have (Priority 1)¶

Enhanced README.md
Add badges (version, tests, coverage, license)
Improve description with use case examples
Add quick start section with copy-paste commands
Include screenshots/GIFs of CLI output
Link to comprehensive documentation
Getting Started Guide
Installation (pip, pipx, uv)
Configuration (API keys setup)
First command walkthrough
Expected output examples
CLI Help Text
Ensure all commands have --help
Include usage examples in help
Suggest next steps in output
Provide web docs links
CONTRIBUTING.md
Development setup with uv
Running tests
Code style (Ruff configuration)
PR process
CHANGELOG.md
Adopt Keep a Changelog format
Document all releases
Keep Unreleased section current

9.2 Should Have (Priority 2)¶

MkDocs Documentation Site
Set up MkDocs Material
Deploy to GitHub Pages or Read the Docs
Organize with progressive disclosure pattern
User Guide
Feed management
Processing episodes
Interview mode usage
Output structure explanation
Obsidian integration
Reference Documentation
All CLI commands with examples
Configuration file format
Environment variables
Exit codes
Troubleshooting Guide
Common issues (API keys, ffmpeg, rate limits)
Error message explanations
FAQ section
API Documentation
- Set up Sphinx with autodoc
- Document public APIs
- Use Google-style docstrings consistently

9.3 Nice to Have (Priority 3)¶

Tutorial Series
- Processing first podcast
- Working with private feeds
- Batch processing workflows
- Custom LLM templates
Example Repository
- Sample configurations
- Common workflow scripts
- Integration examples
Architecture Documentation
- Update existing ADRs
- Add architecture diagrams
- Document pipeline flow
CODE_OF_CONDUCT.md
- Adopt Contributor Covenant
- Define community standards
SECURITY.md
- Vulnerability reporting process
- Security best practices

10. Implementation Recommendations¶

10.1 Tooling Choices¶

Documentation Framework: MkDocs Material - Rationale: Simpler than Docusaurus, Python-native, excellent for CLI docs - Command: uv add --dev mkdocs-material

API Documentation: Sphinx with Napoleon - Rationale: Industry standard, good Python integration - Command: uv add --dev sphinx sphinx-rtd-theme

Docstring Style: Google Style - Rationale: More readable than NumPy, widely adopted - Configure in pyproject.toml for Ruff

Changelog Management: Keep a Changelog format - Optional: Add commitizen for automation - Manual updates acceptable for small team

10.2 Phased Rollout¶

Phase 1: Core Documentation (Week 1) - Update README.md with badges and quick start - Create CONTRIBUTING.md - Standardize CHANGELOG.md format - Improve CLI help text

Phase 2: User Documentation (Week 2-3) - Set up MkDocs with Material theme - Write Getting Started guide - Create User Guide sections - Add Troubleshooting/FAQ

Phase 3: Developer Documentation (Week 4) - Set up Sphinx for API docs - Add docstrings to all public APIs - Document architecture - Create example repository

Phase 4: Polish (Ongoing) - Add tutorials - Create video walkthroughs - Gather user feedback - Iterate on clarity

10.3 Maintenance Strategy¶

Continuous: - Update CHANGELOG with every PR - Keep examples working with tests - Review documentation in PR process

Quarterly: - Review all documentation for accuracy - Update screenshots/examples - Check for broken links - Gather user feedback

Major Releases: - Update Getting Started for breaking changes - Add migration guides if needed - Update all version references

11. Key Sources & References¶

11.1 Primary Sources¶

clig.dev - Command Line Interface Guidelines (authoritative)
pyOpenSci Python Packaging Guide - README and documentation standards
Keep a Changelog - keepachangelog.com
Contributor Covenant - contributor-covenant.org
PEP 257 - Docstring Conventions
The Hitchhiker's Guide to Python - Project structure

11.2 Example Projects Studied¶

GitHub CLI (gh) - cli.github.com
uv (Astral) - docs.astral.sh/uv
Typer - typer.tiangolo.com
Click - click.palletsprojects.com

11.3 Tool Documentation¶

MkDocs Material - squidfunk.github.io/mkdocs-material
Sphinx - sphinx-doc.org
Read the Docs - docs.readthedocs.io

11.4 Python Standards¶

PEP 8 - Style Guide for Python Code
PEP 257 - Docstring Conventions
Google Python Style Guide - google.github.io/styleguide/pyguide.html

12. Conclusion¶

Production-grade CLI tool documentation requires:

Human-first design - Prioritize user experience in help text, errors, and guides
Progressive disclosure - Introduction → Guides → Concepts → Reference
Multiple formats - Built-in help, web docs, man pages
Clear contribution path - CONTRIBUTING.md, development setup, testing
Modern tooling - MkDocs/Sphinx, automated testing, CI/CD integration
Community standards - Code of Conduct, Security policy
Comprehensive coverage - User docs, API docs, architecture, troubleshooting
Maintenance strategy - Keep docs current with code changes

For Inkwell CLI specifically: - Start with enhanced README and CONTRIBUTING - Set up MkDocs Material for user-facing documentation - Use Sphinx for API documentation - Adopt Keep a Changelog format - Implement in phases over 4 weeks

The investment in documentation pays dividends through: - Reduced support burden - Faster onboarding of contributors - Higher user satisfaction - Better AI assistant integration (with clear context) - Professional project perception