groups-compose
Designs and maintains semantic groupings and readable layouts on the filmmaking canvas — scenes, character-reference sets, act beats, and other titled visual frames. Use when nodes on the canvas cluster around a shared meaning and would read more clearly if arranged together and wrapped in a frame. Don't force it — groups are a view concern, not an organizing tax.
npx skills add Utopai-Research/pai-pro --skill groups-compose --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## When to propose - **3+ nodes** share a clear semantic tie (same scene, same character, same beat) - The relationship would be obvious to a reader within 2 seconds of scanning the canvas - You can write a ≤ 30-character title that names the tie Skip if fewer than 3 members or the tie is just generation order. ## Contract - Use `canvas_layout.js` to write member `positions` and `groupFrames` in o
What does the groups-compose skill do?
Designs and maintains semantic groupings and readable layouts on the filmmaking canvas — scenes, character-reference sets, act beats, and other titled visual frames. Use when nodes on the canvas cluster around a shared meaning and would read more clearly if arranged together and wrapped in a frame. Don't force it — groups are a view concern, not an organizing tax.
How do I install it?
Run `npx skills add Utopai-Research/pai-pro --skill groups-compose --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Utopai-Research/pai-pro, a repository with 320 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.