chapterEditorCLI Plugins & Integrations: Extend Your Writing Toolchain
What it is
A plugins & integrations system lets chapterEditorCLI extend core functionality (formatting, linting, export) and connect with external tools (version control, CI, cloud storage, editors, converters).
Key plugin types
- Formatters: auto-format chapters to Markdown, LaTeX, or custom templates.
- Linters / style guides: enforce consistency (spelling, grammar, style rules, section order).
- Exporters: convert chapters to EPUB, PDF, HTML, or manuscript submission formats.
- Sync / storage: integrate with Git, Dropbox, Google Drive, or S3 for backups and collaboration.
- Editor integrations: connect with VS Code, Neovim, and CLI editors for in-place editing and command palettes.
- CI / automation: run builds, tests, and pre-publish checks in GitHub Actions, GitLab CI, or local hooks.
- Collaboration: integrate with review tools or comment systems (e.g., PR comments, review boards).
- Analytics / metadata: collect readability metrics, word counts, chapter-level metadata, and change history.
How plugins are structured (recommended)
- Plugin manifest (name, version, commands, hooks, config schema).
- Command entry points (CLI subcommands).
- Hook types: pre-save, post-save, pre-export, post-export, pre-commit.
- Config file (YAML/JSON) in project root to enable/disable plugins and set options.
- Sandboxed execution to avoid crashing the core CLI.
Example workflows
- Local writing + Git: Auto-lint on save → commit hooks run tests → GitHub Actions export EPUB on push.
- Collaborative editing: Chapters saved to S3 → webhook triggers CI to build proof PDFs → reviewers attach comments to PR.
- Publishing pipeline: Convert Markdown → apply publisher template plugin → upload to submission API.
Example plugin manifest (YAML)
yaml
name: chapter-wordcount version: 1.0.0 description: Adds per-chapter and book-level word counts. commands: - name: wordcount args: [--json, --min-length] hooks: - pre-export config: show_progress: true exclude_sections: [“appendix”]
Best practices for plugin developers
- Provide clear docs and examples.
- Use semantic versioning and compatibility tags.
- Make configuration minimal with sane defaults.
- Expose both CLI and programmatic APIs.
- Keep plugins focused and composable.
- Test plugins in sandboxed environments and CI.
Security & performance
- Run untrusted plugins in read-only or restricted environments.
- Limit network access unless explicitly allowed.
- Cache expensive operations and allow opt-out.
- Monitor plugin resource usage and provide timeout settings.
Recommendations for users
- Start with official or well-rated plugins for core tasks (formatting, export).
- Use CI to enforce plugin-driven checks before publishing.
- Keep plugin list small and purpose-driven to reduce complexity.
- Backup config and lock plugin versions for reproducible builds.
If you want, I can draft a plugin manifest and example implementation for a specific integration (e.g., GitHub Actions exporter or VS Code extension).
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