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content-track-scaffolder Skill

AI Agent SkillWriting SkillsTypeScriptOpen source

Scaffold a complete new content track (like Foundation, Advanced, or Terminal) with all required files — data parser, page components, routes, markdown content, and navigation. Use when adding a new learning path, creating a new track, or expanding the tutorial with a new module series. Use for questions like "add a ne Published by microsoft in learn-ai-native-dev.

What is content-track-scaffolder Skill?

Scaffold a complete new content track (like Foundation, Advanced, or Terminal) with all required files — data parser, page components, routes, markdown content, and navigation. Use when adding a new learning path, creating a new track, or expanding the tutorial with a new module series. Use for questions like "add a ne 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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
26/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Documentation
  • Data analysis
  • Documentation use cases
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use content-track-scaffolder Skill

  • Use it for documentation.
  • Use it for data analysis.

Built with

TypeScriptCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/learn-ai-native-dev
  • Skill file: .github/skills/content-track-scaffolder/SKILL.md

What it does

Scaffold a complete new content track (like Foundation, Advanced, or Terminal) with all required files — data parser, page components, routes, markdown content, and navigation. Use when adding a new learning path, creating a new track, or expanding the tutorial with a new module series. Use for questions like "add a ne

Skill instructions

Content Track Scaffolder This skill scaffolds a complete content track — the full set of files needed to add a new learning path to the tutorial, following the exact patterns established by Foundation, Advanced, and Terminal tracks. When to Use This Skill - When adding a new learning path (e.g., "Mobile", "Data", "Enterprise") - When expanding the tutorial with a new series of modules - When cloning the architecture for a related tutorial site - When understanding how the existing tracks are wired together Architecture Overview A track consists of 7 coordinated file groups: 1. Content files → src/content/<track/module-.md 2. Data parser module → src/data/<trackContent.ts 3. Home page → src/pages/<TrackHomePage.tsx 4. Lesson page → src/pages/<TrackLessonPage.tsx 5. Summary page → src/pages/<TrackSummaryPage.tsx 6. Routes → src/App.tsx (lazy imports + Route entries) 7. Navigation links → src/components/SiteHeader.tsx (header nav) Existing Tracks Reference | Track | Route | Content Dir |

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Frequently asked questions

What is content-track-scaffolder?

content-track-scaffolder is a open-source AI agent skill with Copy skill directory. Scaffold a complete new content track (like Foundation, Advanced, or Terminal) with all required files — data parser, page components, routes, markdown content, and navigation.

Who is content-track-scaffolder best for?

content-track-scaffolder is best for reusing agent instructions, scripts, and references, documentation workflows, data analysis workflows.

How do I install content-track-scaffolder?

Install or run content-track-scaffolder using Copy skill directory. Check content-track-scaffolder for the latest setup command.

Is content-track-scaffolder actively maintained?

content-track-scaffolder may need a closer maintenance check before production use.

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Forks
2
Last commit
23 days ago
Repository age
3 months
License
MIT

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