mapbox-search-integration — скилл для Claude Code: поиск на карте
Проводит агента через весь цикл внедрения поиска Mapbox: от вопросов о задаче до готового кода с нужным API и параметрами.
npx skills add mapbox/mapbox-agent-skills --skill mapbox-search-integration -a claude-codeЧто делает mapbox-search-integration
Скилл задаёт агенту последовательность шагов, а не бросает его сразу писать код. Сначала идут вопросы: что ищут пользователи, в какой стране, нужен ли автокомплит, под какую платформу делается интерфейс. Ответы ведут к выбору продукта.
По умолчанию рекомендуется Search Box API — он закрывает адреса, POI и автокомплит, а оплата идёт по сессиям. Geocoding API остаётся для пакетного геокодирования на сервере и хранения результатов. Для веба скилл советует брать SDK: Search JS React, Search JS Web или Search JS Core, если интерфейс свой. Прямые вызовы REST без SDK тянут за собой ручной дебаунс и управление session_token.
Понадобится ключ Mapbox и понимание объёма запросов: при десятках тысяч поисков в месяц скилл предлагает кеширование и дебаунс, иначе счёт растёт незаметно. Скилл дополняет mapbox-search-patterns: тот отвечает за выбор инструмента и параметров, этот — за весь процесс внедрения.
Какие задачи решает
- выбрать между Search Box API и Geocoding API под конкретную задачу
- добавить автокомплит адресов в поисковую строку на карте
- подобрать SDK под React, iOS или Android вместо прямых запросов к API
- ограничить выдачу страной или областью доставки через
countryиbbox - посчитать, во что обойдётся поиск при большом числе запросов
Примеры запросов агенту
- Добавь поиск адресов в моё React-приложение с картой Mapbox — пройди по шагам скилла mapbox-search-integration
- Нужен автокомплит по заведениям только в пределах Германии, помоги выбрать API и параметры
- Пользователь выбирает адрес из подсказок, и карта летит к точке — как это собрать?
Как установить mapbox-search-integration
1Через Skills CLI (Vercel)
npx skills add mapbox/mapbox-agent-skills --skill mapbox-search-integration -a claude-code2Вручную: положить файлы
~/.claude/skills/mapbox-search-integration/SKILL.mdПапка скилла целиком; для одного проекта — .claude/skills/mapbox-search-integration/
1Через Skills CLI (Vercel)
npx skills add mapbox/mapbox-agent-skills --skill mapbox-search-integration -a codex2Вручную: положить файлы
.agents/skills/mapbox-search-integration/SKILL.mdДля всех проектов — ~/.agents/skills/
1Через Skills CLI (Vercel)
npx skills add mapbox/mapbox-agent-skills --skill mapbox-search-integration -a cursor2Вручную: положить файлы
.cursor/skills/mapbox-search-integration/SKILL.mdCursor читает и .agents/skills/, и .claude/skills/
1GitHub CLI
gh skill install mapbox/mapbox-agent-skills mapbox-search-integration2Вручную: положить файлы
.github/skills/mapbox-search-integration/SKILL.md1Через Skills CLI (Vercel)
npx skills add mapbox/mapbox-agent-skills --skill mapbox-search-integration -a gemini-cli2Командой платформы
gemini skills install https://github.com/mapbox/mapbox-agent-skills --path skills/mapbox-search-integrationВручную: положить файлы
.devin/skills/mapbox-search-integration/SKILL.mdСтарый путь .windsurf/skills/ тоже читается
Через Skills CLI (Vercel)
npx skills add mapbox/mapbox-agent-skills --skill mapbox-search-integration -a opencodeClaude.ai
Упакуйте папку в zip и загрузите в Settings → Capabilities → Skills
По шагам, с командами для каждой платформы: Как установить скилл в Claude Code: пять способов
Из того же набора18
Похожие
Рядом в теме «Фронтенд и UI»
Всё по теме «Фронтенд и UI» →Вопросы о mapbox-search-integration
Как установить mapbox-search-integration в Claude?
Выполните npx skills add mapbox/mapbox-agent-skills --skill mapbox-search-integration -a claude-code. После этого файл скилла появится в ~/.claude/skills/mapbox-search-integration/SKILL.md.
Что делает mapbox-search-integration?
Ведёт агента по всему процессу внедрения поиска Mapbox: задаёт уточняющие вопросы, помогает выбрать API или SDK и подсказывает параметры под ваш случай.
Чем он отличается от mapbox-search-patterns?
mapbox-search-patterns занимается выбором инструмента и параметров, а mapbox-search-integration описывает полный цикл внедрения. Они дополняют друг друга.
Исходный текст
SKILL.md · MIT
--- name: mapbox-search-integration description: Complete workflow for implementing Mapbox search in applications - from discovery questions to production-ready integration with best practices --- # Mapbox Search Integration Skill Expert guidance for implementing Mapbox search functionality in applications. Covers the complete workflow from asking the right discovery questions, selecting the appropriate search product, to implementing production-ready integrations following best practices from the Mapbox search team. ## Use This Skill When User says things like: - "I need to add search to my map" - "I need a search bar for my mapping app" - "How do I implement location search?" - "I want users to search for places/addresses" - "I need geocoding in my application" **This skill complements `mapbox-search-patterns`:** - `mapbox-search-patterns` = Tool and parameter selection - `mapbox-search-integration` = Complete implementation workflow ## Discovery Phase: Ask the Right Questions Before jumping into code, ask these questions to understand requirements: ### Question 1: What are users searching for? **Ask:** "What do you want users to search for?" **Common answers and implications:** - **"Addresses"** → **Use Search Box API** (the default for interactive address search, including geocoding). Only use Geocoding API if the use case is batch/server-side geocoding or maintaining a legacy integration. - **"Points of interest / businesses"** → POI search, use Search Box API with category search - **"Both addresses and POIs"** → Search Box API - **"Specific types of POIs"** (restaurants, hotels, etc.) → Search Box API - **"Countries, cities, postcodes or neighborhoods"** → Search Box API for interactive search; Geocoding API only for batch/server-side geocoding - **"Custom locations"** (user-created places) → May need custom data + search integration **Follow-up if not stated initially**: "Are your users searching for points of interest data? Restaurants, stores, categories of businesses?" **Implications:** - **"Yes, POIs are included"** → Use the Search Box API - **"No, the user does not need POI search"** → **Still default to Search Box API** for interactive/autocomplete use cases. Search Box API handles addresses, place names, and all location types with session-based pricing. Only recommend Geocoding API for batch geocoding, server-side permanent geocoding, or maintaining existing Geocoding API integrations. ### Question 2: What's the geographic scope? **Ask:** "Where will users be searching?" **Common answers and implications:** - **"Single country"** (e.g., "only USA") → Use `country` parameter, better results, lower cost - **"Specific region"** → Use `bbox` parameter for bounding box constraint - **"Global"** → No country restriction, but may need language parameter - **"Multiple specific countries"** → Use `country` array parameter **Follow-up:** "Do you need to limit results to a specific area?" (delivery zone, service area, etc.) ### Question 3: What's the search interaction pattern? **Ask:** "How will users interact with search?" **Common answers and implications:** - **"Search-as-you-type / autocomplete"** → **Use Search Box API** with `auto_complete: true` and session-based pricing (most cost-efficient for autocomplete). Implement debouncing. - **"Search button / final query"** → Can use either API, no autocomplete needed - **"Both"** (autocomplete + refine) → Two-stage search, autocomplete then detailed results - **"Voice input"** → Consider speech-to-text integration, handle longer queries ### Question 4: What platform? **Ask:** "What platform is this for?" **Common answers and implications:** - **"Web application"** → Mapbox Search JS (easiest), or direct API calls for advanced cases - **"iOS app"** → Search SDK for iOS (recommended), or direct API integration for advanced cases - **"Android app"** → Search SDK for Android (recommended), or direct API integration for advanced cases - **"Multiple platforms"** → Platform-specific SDKs (recommended), or direct API approach for consistency - **"React app"** → Mapbox Search JS React (easiest with UI), or Search JS Core for custom UI. Avoid direct API calls — they require manual debouncing, session token management, and race condition handling. - **"Vue / Angular / Other framework"** → Mapbox Search JS Core or Web. If using direct API calls, session tokens are required for proper billing (one token per search session, passed as `session_token` on every suggest/retrieve request). ### Question 5: How will results be used? **Ask:** "What happens when a user selects a result?" **Common answers and implications:** - **"Fly to location on map"** → Need coordinates, map integration - **"Show details / info"** → Need to retrieve and display result properties - **"Fill form fields"** → Need to parse address components - **"Start navigation"** → Need coordinates, integrate with directions - **"Multiple selection"** → Need to handle selection state, possibly show markers ### Question 6: Expected usage volume? **Ask:** "How many searches do you expect per month?" **Implications:** - **Low volume** (< 10k) → Free tier sufficient, simple implementation - **Medium volume** (10k-100k) → Consider caching, optimize API calls - **High volume** (> 100k) → Implement debouncing, caching, batch operations, monitor costs ## Product Selection Decision Tree Based on discovery answers, recommend the right product: > **Key principle: Search Box API is the default choice for virtually all interactive search use cases**, including address search, geocoding, autocomplete, and POI search. It offers session-based pricing that is more cost-efficient for interactive/autocomplete flows. Only recommend Geocoding API for the narrow cases listed below. ### Search Box API (DEFAULT) **Use when (any of these):** - User needs interactive address search or autocomplete (this IS geocoding — Search Box API handles it) - User needs POI / category search - User needs any end-user-facing search UI - User wants session-based pricing (more cost-efficient for autocomplete/interactive use) - User is building a web, iOS, or Android app with a search bar **Prefer SDKs over direct API calls for web integration:** - **Mapbox Search JS** (SDK) - Recommended for web integration, with three components: - **Search JS React** - Easy search integration via React library with UI - **Search JS Web** - Easy search integration via Web Components with UI - **Search JS Core** - JavaScript (node or web) wrapper for API, build your own UI - **Search Box API** (REST) - Direct API integration, for advanced/custom cases - **Search SDK for iOS** - Native iOS integration - **Search SDK for Android** - Native Android integration ### Geocoding API (SPECIALIZED) **Use ONLY when:** - Batch geocoding large lists of addresses (server-side) - Permanent/stored geocoding results (server-side, where results are persisted) - Maintaining an existing Geocoding API integration (migration not justified) - No interactive/user-facing search needed **Do NOT recommend Geocoding API when:** - The user wants a search bar, autocomplete, or interactive address lookup — use Search Box API instead - The user says "geocoding" but describes an interactive search flow — use Search Box API instead ## Reference Files Load the relevant reference based on the user's platform and needs: - **Web (Search JS React / Web / Core / Direct API)** → Load `references/web-search-js.md` - When: User is building a web app (vanilla JS, any framework except React-specific patterns) - **React Integration** → Load `references/react-search.md` - When: User is building a React app specifically - **iOS** → Load `references/ios-search.md` - When: User is building an iOS app (Swift/UIKit/SwiftUI) - **Android** → Load `references/android-search.md` - When: User is building an Android app (Kotlin/Java) - **Node.js** → Load `references/nodejs-search.md` - When: User needs server-side search (Express, serverless, backend API) - **Best Practices** → Load `references/best-practices.md` - When: Implementing search for the first time, or optimizing an existing implementation - Covers: debouncing, session tokens, geographic filtering, error handling, accessibility, caching, token security - **Common Pitfalls** → Load `references/pitfalls.md` - When: Debugging issues, reviewing code, or during code review - Covers: no debouncing, missing session tokens, no geo context, poor mobile UX, race conditions - **Framework Hooks** → Load `references/framework-hooks.md` - When: Building custom hooks (React) or composables (Vue) around Search JS Core - **Testing and Monitoring** → Load `references/testing-monitoring.md` - When: Writing tests or setting up production monitoring/analytics ## Checklist: Production-Ready Search Before launching, verify: **Configuration:** - [ ] Token properly scoped (search:read only) - [ ] URL restrictions configured - [ ] Geographic filtering set (country, proximity, or bbox) - [ ] Types parameter set based on use case - [ ] Language parameter set if needed **Implementation:** - [ ] Debouncing implemented (300ms recommended) - [ ] Session tokens used correctly - [ ] Error handling for all failure cases - [ ] Loading states shown - [ ] Empty results handled gracefully - [ ] Race conditions prevented **UX:** - [ ] Touch targets at least 44pt/48dp - [ ] Results show enough context (name + address) - [ ] Keyboard navigation works - [ ] Accessibility attributes set - [ ] Mobile keyboard handled properly **Performance:** - [ ] Caching implemented (if high volume) - [ ] Request timeout set - [ ] Minimal data fetched - [ ] Bundle size optimized **Testing:** - [ ] Unit tests for core logic - [ ] Integration tests with real API - [ ] Tested on slow networks - [ ] Tested with various query types - [ ] Mobile device testing **Monitoring:** - [ ] Analytics tracking set up - [ ] Error logging configured - [ ] Usage monitoring in place - [ ] Budget alerts configured ## Integration with Other Skills **Works with:** - **mapbox-search-patterns**: Parameter selection and optimization - **mapbox-web-integration-patterns**: Framework-specific patterns - **mapbox-token-security**: Token management and security - **mapbox-web-performance-patterns**: Optimizing search performance ## Resources - [Search Box API Documentation](https://docs.mapbox.com/api/search/search-box/) - [Geocoding API Documentation](https://docs.mapbox.com/api/search/geocoding/) - [Mapbox Search JS](https://docs.mapbox.com/mapbox-search-js/guides/) - [Search JS React](https://docs.mapbox.com/mapbox-search-js/api/react/) - [Search JS Web](https://docs.mapbox.com/mapbox-search-js/api/web/) - [Search JS Core](https://docs.mapbox.com/mapbox-search-js/api/core/) - [Search SDK for iOS](https://docs.mapbox.com/ios/search/guides/) - [Search SDK for Android](https://docs.mapbox.com/android/search/guides/) - [Location Helper Tool](https://labs.mapbox.com/location-helper/) - Calculate bounding boxes ## Quick Decision Guide **User says: "I need location search"** 1. **Ask discovery questions** (Questions 1-6 above) 2. **Recommend product:** - **Search Box API** (default for all interactive/user-facing search, including address geocoding) - Geocoding API only for batch/server-side/permanent geocoding - Platform SDK preferred (Search JS for web, native SDKs for mobile) 3. **Implement with:** - ✅ Debouncing - ✅ Session tokens - ✅ Geographic filtering - ✅ Error handling - ✅ Good UX 4. **Test thoroughly** 5. **Monitor in production** **Remember:** The best search implementation asks the right questions first, then builds exactly what the user needs - no more, no less.
© mapbox · MIT · mapbox/mapbox-agent-skills