track-generator Skill
Generate new example tracks for the AI-Native tutorial. Use when creating new industry examples, adding a new track, building project templates, or expanding learning paths. Use for questions like "add a track for healthcare", "create new example", "new industry template". Produces consistent ExampleTrack data with all Published by microsoft in learn-ai-native-dev.
Decision snapshot
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Data analysis, Includes SKILL.md, Reusable instructions
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Copy skill directory
2 months ago · MIT license
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What is track-generator Skill?
Generate new example tracks for the AI-Native tutorial. Use when creating new industry examples, adding a new track, building project templates, or expanding learning paths. Use for questions like "add a track for healthcare", "create new example", "new industry template". Produces consistent ExampleTrack data with all Published by microsoft in learn-ai-native-dev. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: .github/skills/track-generator/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use track-generator Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/learn-ai-native-dev
- Skill file: .github/skills/track-generator/SKILL.md
What it does
Generate new example tracks for the AI-Native tutorial. Use when creating new industry examples, adding a new track, building project templates, or expanding learning paths. Use for questions like "add a track for healthcare", "create new example", "new industry template". Produces consistent ExampleTrack data with all
Skill instructions
Track Generator This skill generates new example tracks that follow the exact structure defined in the AI-Native Development Tutorial's ExampleTrack interface. When to Use This Skill - When adding a new industry example to the tutorial - When creating project templates for specific domains - When expanding the tutorial's track selection - When customizing tracks for specific audiences Track Location Tracks are defined in: src/data/exampleTracks.ts ExampleTrack Interface Every track must implement this complete interface: typescript export interface ExampleTrack { id: string // Lowercase with hyphens: "deal-dashboard" name: string // Display name: "Deal Health Dashboard" icon: string // Single emoji: "💼" industry: string // Category: "Sales & Business" description: string // 1-2 sentences explaining the track projectName: string // Full project name used in prompts folderName: string // Folder name (matches id) whatYouBuild: string // Brief description of the output sampleDataDescripti
Verified compatibility and discovery
Frequently asked questions
What is track-generator?
track-generator is a open-source AI agent skill with Copy skill directory. Generate new example tracks for the AI-Native tutorial. Use when creating new industry examples, adding a new track, building project templates, or expanding learning paths.
Who is track-generator best for?
track-generator is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install track-generator?
Install or run track-generator using Copy skill directory. Check track-generator for the latest setup command.
Is track-generator actively maintained?
track-generator may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
