mapbox-search-patterns
Skill from mapbox/mapbox-agent-skills
Install
npx skills add mapbox/mapbox-agent-skills --skill mapbox-search-patterns
Runs the open skills CLI and installs the skill for your agent (Claude Code, Codex, Cursor …). Alternatively copy the skill folder into .claude/skills/ or upload it in Claude.ai under Settings → Skills.
What does the mapbox-search-patterns skill do?
Description from the SKILL.md in the source repository.
Questions about mapbox-search-patterns
What does the mapbox-search-patterns skill do?
Expert guidance on choosing the right Mapbox search tool and parameters for geocoding, POI search, and location discovery
How do I install mapbox-search-patterns?
In a terminal: npx skills add mapbox/mapbox-agent-skills --skill mapbox-search-patterns. The skills CLI asks which agents to install it for. In Claude.ai you can upload the skill folder as a ZIP under Settings → Skills.
Which agents can use mapbox-search-patterns?
Skills use the open SKILL.md format, which Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI and other agents support.
Is mapbox-search-patterns safe to use?
Our automatic check found no risky patterns (piped shell scripts, hidden characters, secret access, prompt overrides). It is not a full audit – read the SKILL.md and any scripts before installing.
More skills from mapbox/mapbox-agent-skills
Common style patterns, layer configurations, and recipes for typical mapping scenarios including restaurant finders, real estate, data visualization, navigation, delivery/logistics, and more.
Integration patterns for Mapbox MCP Server in AI applications and agent frameworks. Covers runtime integration with pydantic-ai, mastra, LangChain, and custom agents. Use when building AI-powered applications that need geospatial capabilities.
Navigation implementation patterns for turn-by-turn directions, route optimization, real-time traffic, multi-stop routing, and voice guidance across web, iOS, and Android platforms
Complete workflow for implementing Mapbox search in applications - from discovery questions to production-ready integration with best practices
Common patterns for building store locators, restaurant finders, and location-based search applications with Mapbox. Covers marker display, filtering, distance calculation, and interactive lists.
Security best practices for Mapbox access tokens, including scope management, URL restrictions, rotation strategies, and protecting sensitive data. Use when creating, managing, or advising on Mapbox token security.
Performance optimization patterns for Mapbox GL JS web applications. Covers initialization waterfalls, bundle size, rendering performance, memory management, and web optimization. Prioritized by impact on user experience.
Official integration patterns for Mapbox GL JS across popular web frameworks (React, Vue, Svelte, Angular). Covers setup, lifecycle management, token handling, search integration, and common pitfalls. Based on Mapbox's create-web-app scaffolding tool.
Related skills in Research & Web
Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants …
Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation …
Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config …
Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch …
Search, scrape, crawl, extract structured data, and monitor web pages via the ScrapeGraph AI CLI.
Web search and content extraction with Tavily and Exa via inference.sh CLI. Apps: Tavily Search, Tavily Extract, Exa Search, Exa Answer, Exa Extract. Capabilities: AI-powered search, content extraction, direct answers, research.
When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific …
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," …