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search-discovery-planner

Design search and discovery architectures by mapping content models to index configurations.

Updated Mar 5, 2026
Search Tags:#architecture#indexing#search#discovery#relevance#taxonomy
One-click install
npx skills add https://github.com/zivtech/joyus-desktop --skill search-discovery-planner
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: search-discovery-planner
Source: https://github.com/zivtech/joyus-desktop/tree/main/.claude/skills/search-discovery-planner
Command: npx skills add https://github.com/zivtech/joyus-desktop --skill search-discovery-planner

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill prevents the common pitfalls of search implementation by providing a comprehensive, strategic architecture plan before any code is written, ensuring your search system is scalable, relevant, and user-centric.

Core Features & Use Cases

  • Strategic Architecture Design: Maps content models to index fields, defines analyzer strategies, and establishes relevance ranking logic.
  • Discovery Ecosystem Planning: Goes beyond search to design faceted navigation, related content paths, and taxonomy structures.
  • Failure & Analytics Design: Specifies zero-result handling, autocomplete behavior, and instrumentation for continuous improvement.
  • Use Case: Use this when planning a new search system for a content-heavy platform to ensure that your field mappings, facet strategy, and relevance logic are fully aligned with user needs before developers begin configuration.

Quick Start

Use the search-discovery-planner skill to design a search architecture for our new documentation portal by analyzing the provided content model and user query logs.

Frequently Asked Questions about search-discovery-planner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a search architecture for a content-heavy platform?▼

To design a search architecture, map your content models to index configurations, define analyzer strategies, and establish relevance ranking logic to ensure the system is scalable and user-centric.

What is the best way to integrate faceted navigation with a taxonomy system?▼

Integrating faceted navigation with a taxonomy system involves mapping content models to index fields and designing related content paths, ensuring discovery ecosystem planning aligns with user needs.

How do I handle zero-result searches and improve relevance ranking?▼

Handle zero-result searches by specifying autocomplete behavior and zero-result handling logic, while applying relevance ranking strategies during the architectural planning phase before configuration.

Can I use this approach to redesign an underperforming search system?▼

Yes, you can redesign an underperforming search system by re-evaluating index configurations, analyzer strategies, and taxonomy structures to create a comprehensive, strategic architecture plan.

When do I need to plan search analytics instrumentation?▼

You need to plan search analytics instrumentation during the initial architecture design phase to specify continuous improvement tracking and monitor relevance ranking performance across the platform.

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