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implementing-search-filter

Official

End-to-end search & filter patterns.

Software Engineering#frontend#api#backend#search#filters#debounce#facets
AuthorOpenDCAI
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Implements production-ready patterns for building cohesive search and filtering across frontend (React/TypeScript) and backend (Python) with debouncing, query management, and database integration to enable fast, reliable, and accessible search experiences.

Core Features & Use Cases

  • Frontend patterns: debounced search inputs, autocomplete/typeahead, filter UIs (checkbox/range/dropdown), accessible ARIA-compliant components, and URL-based state management.
  • Backend patterns: dynamic query construction with SQLAlchemy/Django ORM, PostgreSQL full-text search, Elasticsearch integration, API design, and pagination strategies.
  • Use cases include product search with category/price filters, data-table filtering, content catalogs with facets, and real-time search experiences in dashboards.

Quick Start

Provide a production-grade search and filter scaffold for your app by wiring debounced frontend input, facet-backed filters, and backend queries to a REST or GraphQL API.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: implementing-search-filter
Download link: https://github.com/OpenDCAI/leonai/archive/main.zip#implementing-search-filter

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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