Search Skill

How this skill behaves (read first)

This is a generative skill. The default failure modes: a box and nothing more (an input that returns a bare list — no suggestions, no query persistence, no recovery), dead ends ("No results found." period), and feature stacking (rich suggestions + trending + recent + filters + chips everywhere, even where search is a minor utility). Search is a journey — formulate → suggest → results → refine — and which stages need investment depends on how users seek. This skill gates:

1. Establish how users seek and how central search is — that decides which stages to invest in.
2. Apply the always-true core — discoverable placement, working input conventions, suggestion basics, a scannable results page, no dead ends.
3. Surface the context-dependent decisions (rich auto-suggest, filter layout, chips, view options) with trade-offs.

Then it hands off to ux-heuristics-audit, ux-accessibility-audit, ux-aesthetics-audit, and ux-microcopy-audit for validation.

Step 0 — Establish context before designing

Ask if not known; state the assumption if proceeding without an answer: