$ show pnp/powerplatform-prompts
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.
The LLM identified 3 files worth highlighting for reuse:
A well-crafted prompt that combines text (email) and image (receipt) inputs to extract structured expense data. It defines clear tasks, output format, and fallback behavior. Demonstrates effective use of role assignment, enumerated categories, and JSON output specification. Reusable as a template for any document processing workflow requiring structured extraction.
A prompt that generates meeting notes from transcripts with a specific HTML output format. It includes dynamic section generation, action items, and a disclaimer. The prompt uses markdown and HTML templates to enforce consistent formatting. Reusable for any meeting transcription summarization task.
A comprehensive prompt that ingests multiple business documents (sales, financials, demographics) and produces a holistic analysis with a health score, critical issues, opportunities, risks, and strategic advantages. Demonstrates advanced prompt engineering for multi-document synthesis and structured output. Reusable for any business intelligence analysis.