I just rolled out Pipely 0.1.17, and this is the update where the CLI finally stops feeling like “a tool you operate” and starts feeling like a creative assistant for artists. If you’re an indie studio, technical artist, or solo creator juggling folders, versions, and DCCs, this release is about one thing: reducing friction so you can stay in flow.
Natural Language Everywhere (CLI that understands artists)
The interactive prompt now runs on a split brain: interactive_commands.py handles NLP intent parsing, while interactive_ui.py renders workspace summaries and artist-friendly menus. The result is a pipeline UX that feels natural: you can type things like “delete AN_DMO_DemoShort30s,” “work on Forest_BG in krita,” or “show recent assets” and Pipely resolves the right database records, folders, tasks, and DCC launches automatically. Less memorizing commands, more getting work done.
Smarter DCC Detection on Windows + WSL (Blender, Krita, Godot, Unreal, Unity)
Pipely now discovers Blender, Krita, PureRef, VS Code, Godot, Unity, and Unreal Engine 5.6 automatically across Windows and WSL. The launcher searches common install paths (including /mnt/<drive>/Program Files/...) and caches results, so pipely open --list reliably shows what’s installed without manual overrides. If you’ve ever lost time fighting PATH issues or launcher configs, this is the kind of “invisible improvement” that adds up fast.
Cleaner Creative Roots (no more ghost projects)
Deleting a show now removes both the DB path and any duplicate directories under your artist root, so the “Projects” picker won’t surface stale entries or “ghost” shows. This behavior is protected by tests, keeping your pipeline clean as your project list grows—especially important for long-running productions where clutter quietly becomes a productivity tax.
Fountain → PDF (writer-friendly export)
For scriptwriters, Pipely adds a simple workflow:
pipely workfiles export --file script.fountain
This generates a polished PDF screenplay via afterwriting or screenplain/reportlab, and the dependencies are installed automatically through the Ansible playbooks. That means fewer setup steps, fewer “it works on my machine” moments, and a smoother path from writing to review.
Quality-of-life fixes that make it feel “tight”
This release also brings practical refinements:
pipely open --listnow tolerates optional DCC names when listing- Admin workspace re-renders summaries correctly after commands
- Tests now cover DCC detection, interactive parsing, and creative-root cleanup
Get Pipely 0.1.17
pipx install https://github.com/Sreyeesh/pipeline-tools/releases/download/v0.1.17/pipely-0.1.17-py3-none-any.whl
pipely
Pipely 0.1.17 makes the pipeline smarter, friendlier, and more aligned with how artists actually think: type what you want, keep moving, stay creative. Give it a try—and tell me what you build with it.