This skill provides expert guidance on ensuring Mapbox style quality through validation, accessibility, and optimization tools.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmapbox-style-qualityExecute the skills CLI command in your project's root directory to begin installation:
Fetches mapbox-style-quality 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-style-quality. Access via /mapbox-style-quality 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 expert guidance on ensuring Mapbox style quality through validation, accessibility, and optimization tools.
Before deploying any Mapbox style to production:
["all", expr] → expr, ["any", false, expr] → expr)When adding GeoJSON data:
validate_geojson_tool before using as a sourceWhen writing expressions:
validate_expression_tool as you write themWhen styling text/labels:
check_color_contrast_toolCompare style versions:
compare_styles_tool to generate a diff reportOptimize the style:
optimize_style_tool to reduce file size["all", expr] to expr, remove tautological conditions)Always validate when:
Common GeoJSON errors:
Example workflow:
1. Receive GeoJSON data
2. Validate with validate_geojson_tool
3. If valid: Add as source to style
4. If invalid: Fix errors, re-validate
Validate expressions for:
filter property on layers)paint and layout properties)Common expression errors:
Prevention strategies:
WCAG Levels:
Text size categories:
Common scenarios to check:
Testing strategy:
1. Validate expressions in style
2. Check color contrast for text layers
3. Optimize if needed
1. Validate all GeoJSON sources
2. Validate all expressions (filters, paint, layout)
3. Check color contrast for all text layers
4. Compare with previous production version
5. Optimize style
6. Test optimized style
7. Deploy
1. Compare working vs. broken style
2. Identify differences
3. Validate suspicious expressions
4. Check GeoJSON data if source-related
5. Verify color contrast if visibility issue
Problem: Map throws expression errors at runtime
Solution: Validate expressions with validate_expression_tool during development
Prevention: Add expression validation to pre-commit hooks or CI/CD
Problem: Text labels are hard to read on map
Solution: Check contrast with check_color_contrast_tool, adjust colors to meet WCAG AA
Prevention: Test text on both light and dark backgrounds, check at different zoom levels
Problem: Style takes long to load or transfer
Solution: Run optimize_style_tool to remove redundancies and simplify
Prevention: Regularly optimize during development, remove unused sources immediately
Problem: GeoJSON source fails to load or render
Solution: Validate with validate_geojson_tool, fix coordinate issues, verify structure
Prevention: Validate all external GeoJSON before adding to style
Problem: Style changed but unsure what modified
Solution: Use compare_styles_tool to generate diff report
Prevention: Compare before/after for all significant changes, document modifications
| Tool | Use When | Output |
|---|---|---|
validate_geojson_tool |
Adding GeoJSON sources | Valid/invalid + error list |
validate_expression_tool |
Writing expressions | Valid/invalid + error list |
check_color_contrast_tool |
Styling text labels | Passes/fails + WCAG levels |
compare_styles_tool |
Reviewing changes | Diff report with paths |
optimize_style_tool |
Before deployment | Optimized style + savings |
For detailed guidance on specific topics, load the relevant reference:
references/optimization.md — Optimization types, strategies, recommended order, and maintenance best practicesreferences/comparison.md — Style comparison workflows, ignoreMetadata usage, and refactoring workflowreferences/ci-integration.md — Git pre-commit hooks, CI/CD pipeline steps, and code review checklistLoad instruction: Read the reference file when the user needs in-depth guidance on that topic.
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
mapbox-style-quality is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: mapbox-style-quality is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in mapbox-style-quality — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added mapbox-style-quality from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for mapbox-style-quality matched our evaluation — installs cleanly and behaves as described in the markdown.
Keeps context tight: mapbox-style-quality is the kind of skill you can hand to a new teammate without a long onboarding doc.
mapbox-style-quality fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
mapbox-style-quality is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
mapbox-style-quality reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added mapbox-style-quality from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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