This repository is a SharePoint Framework (SPFx) web part and companion pattern library that delivers Microsoft 365 Learning Pathways — a customizable training portal for Office 365. The application fetches structured JSON playlists and asset metadata from a public CDN (pnp.github.io), caches it client-side, and renders it through React components. Users can customize playlists and assets, with changes persisted to SharePoint lists via a custom data service. An UpgradeService migrates cached configuration and playlist data between major versions using version-specific migration functions (e.g., uCacheConfigV2V3, uPlaylistsV3V4). The repo also contains a style guide with atomic design (atoms/molecules/organisms/pages) and a dependency graph for template impact analysis. Although the dominant character is application, the repository is hybrid: it also stores a large static dataset of official Microsoft training content (playlists, assets, locale files) and a design-system data layer, so it is as much a content portal as a codebase. Maintenance is active but shows technical debt: duplicated locale lists, content drift between en-us and zh-cn asset files, disabled ESLint rules, and fragile cheerio-based CI scraping scripts.

This repository is a curated collection of prompt examples for GPT models within the Microsoft Power Platform ecosystem. It contains over 100 prompts organized by product area: AI Builder, Copilot Studio, Power Apps, Power Automate, and Power Pages. Each prompt is stored as a markdown file with accompanying metadata (sample.json) and a README describing its purpose, usage, and authors. The repository does not contain any executable code, libraries, or runtime components; it is purely a reference library of natural language prompts intended to be copied and pasted into Power Platform tools. The prompts range from simple text generation (e.g., anagram creator, blog idea generator) to complex multi-modal analyses (e.g., construction site OSHA compliance, expense processor with receipt images). The repository is well-structured with consistent naming conventions, localization support, and a GitHub Actions workflow to validate sample metadata. While not a software application itself, it serves as a valuable resource for Power Platform developers and citizen integrators looking to leverage GPT capabilities.