direction-picker
Optional 3-5 direction picker for users who explicitly ask to compare visual directions.
npx skills add nexu-io/open-design --skill direction-picker --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.
# Direction picker Generative work benefits from explicit divergence before it converges. This atom defines how to present 3–5 distinct visual / structural / tonal directions when the user explicitly asks to see or compare direction options. Only in that case, emit one inline `<question-form>` with a `direction-cards` question. The submitted choice returns as the next user message. The presence of this atom or the `plan` stage does not trigger a picker. Do not emit direction cards proactively. When the user has not explicitly requested options, infer a fitting direction from the brief, active design system, and known context, then continue. ## Convergence When a picker was explicitly requested, the atom completes when the submitted form answer contains a direction id. The agent's next turn must lock onto that direction — backtracking forces a fresh devloop iteration of the picker stage. ## Anti-patterns the prompt fragment forbids - More than 5 directions on one turn (decision fatigue). - Two directions that are minor variations of each other. - Locking the user into a single direction with cosmetic alternates (every direction must be a defensible standalone bet).
- Convergence
- Anti-patterns the prompt fragment forbids
What does the direction-picker skill do?
Optional 3-5 direction picker for users who explicitly ask to compare visual directions.
How do I install it?
Run `npx skills add nexu-io/open-design --skill direction-picker --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 nexu-io/open-design, a repository with 83,577 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.