AI Search Experience Designer
$2.99OfficialDesign AI-powered search experiences: semantic search, conversational interfaces, result ranking, and relevance tuning.
What you get
- ✓8-step procedure
- ✓6 pitfalls to avoid
- ✓Installs into 6 tools
- Version
- v1 →
- Last updated
- today
- Length
- 4 min read
- Requires
- Best with a strong model (Claude Sonnet 4)
Works in: Claude Code, Codex, Cline, opencode, OpenClaw, Hermes · Handles multi-file projects
Preview
When to use
Use this skill when designing or rebuilding a search experience enhanced by AI: semantic search over a knowledge base, conversational search with follow-up questions, or AI-generated answers alongside traditional results. It applies to e-commerce, support centers, documentation, enterprise knowledge, and internal tools. Reach for it when traditional keyword search is underperforming on relevance, when users ask natural-language questions the index can't answer, or when generative answers could reduce clicks-to-answer. Avoid it for simple faceted-catalog browsing where keyword search already performs well.
Inputs to gather
- The corpus: document types, volume, update freq
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