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Documentation authoring and maintenance for the attune ecosystem — generate, maintain, and validate help content with AI assistance.

Project description

attune-author

Documentation authoring and maintenance for the attune ecosystem.

attune-help (reader) --> attune-author (authoring) --> attune-ai (full workflows)

Installation

pip install attune-author           # Core (templates, staleness)
pip install 'attune-author[ai]'     # + AI-powered doc generation
pip install 'attune-author[rich]'   # + Rich CLI formatting

Quick Start

# Initialize help system in your project
attune-author init

# Check which templates are stale
attune-author status

# Generate templates for a feature
attune-author generate security-audit

# Regenerate all stale templates
attune-author regenerate

Python API

from attune_author import load_manifest, check_staleness

# Load your project's feature manifest
manifest = load_manifest(".help/features.yaml")

# Check which features have stale documentation
report = check_staleness(".help/")
for feature in report.stale:
    print(f"  {feature.name}: {feature.reason}")

Features

  • Manifest parsing -- Load and validate .help/features.yaml
  • Staleness detection -- Track source hash drift, detect outdated templates
  • Template generation -- Jinja2-based concept, task, and reference templates
  • LLM polish -- Optional AI pass to improve generated content (requires [ai])
  • Bulk maintenance -- Regenerate stale templates in one command
  • API reference -- Generate docs from Python source (requires [ai])
  • CLI -- attune-author command for all operations

Ecosystem

Package Role Deps
attune-help Read and render help content 1 (frontmatter)
attune-author Author, generate, maintain docs 4 (jinja2, frontmatter, pyyaml, attune-help)
attune-ai Full developer workflow OS Many

License

Apache 2.0

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