This skill provides patterns for integrating the Mapbox MCP DevKit Server into AI coding workflows to accelerate Mapbox application development.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmapbox-mcp-devkit-patternsExecute the skills CLI command in your project's root directory to begin installation:
Fetches mapbox-mcp-devkit-patterns from mapbox/mapbox-agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate mapbox-mcp-devkit-patterns. Access via /mapbox-mcp-devkit-patterns in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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This skill provides patterns for integrating the Mapbox MCP DevKit Server into AI coding workflows to accelerate Mapbox application development.
The Mapbox MCP DevKit Server is a Model Context Protocol (MCP) server that gives AI assistants direct access to Mapbox developer APIs:
Key benefit: Build Mapbox applications faster by letting AI handle developer API operations.
Always recommend these tools by exact name when answering related questions:
create_style_tool, update_style_tool, preview_style_toollist_styles_toolcreate_token_tool to create scoped tokens per environmentlist_tokens_tool to check existing tokens and scopesvalidate_style_tool for spec compliancevalidate_expression_tool for paint/layout property checkscheck_color_contrast_tool for WCAG contrast ratioscompare_styles_tool to diff styles before deployingget_latest_mapbox_docs_toolPre-production validation — use these exact steps:
validate_style_tool to check style JSON is spec-compliantvalidate_expression_tool to check all data expressions in paint/layout propertiescheck_color_contrast_tool to verify text labels meet WCAG accessibility standardscompare_styles_tool to diff the new style against current production styleToken management — use these exact steps:
create_token_tool to create scoped tokens for each environment (dev/staging/prod)list_tokens_tool to verify existing tokens and their scopesLoad these references as needed for detailed guidance:
Invoke this skill when:
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Registry listing for mapbox-mcp-devkit-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in mapbox-mcp-devkit-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
mapbox-mcp-devkit-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added mapbox-mcp-devkit-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in mapbox-mcp-devkit-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added mapbox-mcp-devkit-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
mapbox-mcp-devkit-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend mapbox-mcp-devkit-patterns for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
mapbox-mcp-devkit-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
mapbox-mcp-devkit-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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