algolia-search
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
Best use case
algolia-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "algolia-search" skill to help with this workflow task. Context: Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/algolia-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How algolia-search Compares
| Feature / Agent | algolia-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Algolia Search Integration ## Patterns ### React InstantSearch with Hooks Modern React InstantSearch setup using hooks for type-ahead search. Uses react-instantsearch-hooks-web package with algoliasearch client. Widgets are components that can be customized with classnames. Key hooks: - useSearchBox: Search input handling - useHits: Access search results - useRefinementList: Facet filtering - usePagination: Result pagination - useInstantSearch: Full state access ### Next.js Server-Side Rendering SSR integration for Next.js with react-instantsearch-nextjs package. Use <InstantSearchNext> instead of <InstantSearch> for SSR. Supports both Pages Router and App Router (experimental). Key considerations: - Set dynamic = 'force-dynamic' for fresh results - Handle URL synchronization with routing prop - Use getServerState for initial state ### Data Synchronization and Indexing Indexing strategies for keeping Algolia in sync with your data. Three main approaches: 1. Full Reindexing - Replace entire index (expensive) 2. Full Record Updates - Replace individual records 3. Partial Updates - Update specific attributes only Best practices: - Batch records (ideal: 10MB, 1K-10K records per batch) - Use incremental updates when possible - partialUpdateObjects for attribute-only changes - Avoid deleteBy (computationally expensive) ## ⚠️ Sharp Edges | Issue | Severity | Solution | |-------|----------|----------| | Issue | critical | See docs | | Issue | high | See docs | | Issue | medium | See docs | | Issue | medium | See docs | | Issue | medium | See docs | | Issue | medium | See docs | | Issue | medium | See docs | | Issue | medium | See docs |
Related Skills
zaker-news-search
基于ZAKER权威资讯库进行关键词新闻检索，支持指定时间范围（30天内）。Use when the user asks about 搜索新闻, 某事件新闻, 某人物新闻, 某关键词相关新闻, 查新闻, 新闻检索, 相关新闻, 某时间段新闻.
github-repo-search
帮助用户搜索和筛选 GitHub 开源项目，输出结构化推荐报告。当用户说"帮我找开源项目"、"搜一下GitHub上有什么"、"找找XX方向的仓库"、"开源项目推荐"、"github搜索"、"/github-search"时触发。
xiaohongshu-search
小红书运营全链路数据工具｜关键词监控+爆款挖掘+竞品分析+KOL筛选+趋势洞察，用数据驱动小红书流量增长，告别盲目创作
douyin-search-keyword
抖音公开内容智能搜索，精准检索视频/图文/用户数据，支持多维度排序与时间筛选，输出结构化JSON/Markdown，助力短视频营销、竞品分析与热点追踪。
codebase-search
Search and navigate large codebases efficiently. Use when finding specific code patterns, tracing function calls, understanding code structure, or locating bugs. Handles semantic search, grep patterns, AST analysis.
skywork-search
Search the web for real-time information using the Skywork web search API. Use this skill whenever the user needs up-to-date information from the internet — for example, researching a topic, looking up recent events, finding facts or statistics, gathering material for a document or presentation, or answering questions that require current data. Also trigger when the user says things like "search for", "look up", "find information about", "what's the latest on", or any request that implies needing information beyond your training data.
wiki-researcher
Conducts multi-turn iterative deep research on specific topics within a codebase with zero tolerance for shallow analysis. Use when the user wants an in-depth investigation, needs to understand how something works across multiple files, or asks for comprehensive analysis of a specific system or pattern.
search-specialist
Expert web researcher using advanced search techniques and synthesis. Masters search operators, result filtering, and multi-source verification. Handles competitive analysis and fact-checking. Use PROACTIVELY for deep research, information gathering, or trend analysis.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
hybrid-search-implementation
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall.
hig-components-search
Apple HIG guidance for navigation-related components including search fields, page controls, and path controls. Use this skill when the user says "how should search work in my app," "I need a breadcrumb," "how do I paginate content," or asks about search field, search bar, page control, path control, breadcrumb, navigation component, search UX, search suggestions, search scopes, paginated content navigation, or file path hierarchy display. Cross-references: hig-components-menus, hig-components-controls, hig-components-dialogs, hig-patterns.
exa-search
Semantic search, similar content discovery, and structured research using Exa API