awesome-copilot/prompts/suggest-awesome-github-copilot-prompts.prompt.md
Daniel Scott-Raynsford e1c7c7a50e
Add 18 new prompts files (#56)
* Add prompts for .NET best practices, design pattern review, and GitHub Copilot suggestions

- Introduced a comprehensive prompt for ensuring .NET/C# code adheres to best practices, covering documentation, design patterns, dependency injection, resource management, async patterns, testing standards, configuration, AI integration, error handling, performance, security, and code quality.
- Added a prompt for reviewing C#/.NET code for design pattern implementation, providing a checklist for required patterns, architecture, best practices, SOLID principles, performance, maintainability, testability, security, documentation, code clarity, and clean code.
- Created prompts for suggesting relevant GitHub Copilot chatmodes and prompts based on the current repository context, including a structured process for fetching available chatmodes/prompts, scanning local files, and presenting options with rationale.
- Developed a prompt for updating Azure Verified Modules (AVM) in Bicep files, detailing the process for scanning, checking for updates, validating, and handling breaking changes.
- Implemented a prompt for updating implementation plans with new requirements, ensuring machine-readable output and adherence to a strict template.
- Added a prompt for updating the llms.txt file to reflect changes in documentation or specifications, focusing on compliance with the llmstxt specification.
- Created a prompt for updating markdown file indices with files from specified folders, including options for table structures and update strategies.
- Developed a prompt for updating object-oriented component documentation, following industry best practices and ensuring alignment with current implementations.
- Added a prompt for updating specification files, emphasizing clarity, structure, and compliance with established documentation standards.

* CHANGE: Update implementation plan prompt formatting

- Renamed prompt title for clarity.
- Added spacing for improved readability.
- Enhanced structure to ensure compliance with template validation rules.

* CHANGE: Fix typo in .NET best practices prompt

- Corrected "soltion" to "solution" in the prompt description.
2025-07-07 16:17:09 +10:00

4.4 KiB

mode description tools
agent Suggest relevant GitHub Copilot prompt files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing prompts in this repository.
changes
codebase
editFiles
fetch
findTestFiles
githubRepo
new
openSimpleBrowser
problems
runCommands
runTasks
runTests
search
searchResults
terminalLastCommand
terminalSelection
testFailure
usages
vscodeAPI
github

Suggest Awesome GitHub Copilot Prompts

Analyze current repository context and suggest relevant prompt files from the GitHub awesome-copilot repository that are not already available in this repository.

Process

  1. Fetch Available Prompts: Extract prompt list and descriptions from awesome-copilot README
  2. Scan Local Prompts: Discover existing prompt files in .github/prompts/ folder
  3. Extract Descriptions: Read front matter from local prompt files to get descriptions
  4. Analyze Context: Review chat history, repository files, and current project needs
  5. Compare Existing: Check against prompts already available in this repository
  6. Match Relevance: Compare available prompts against identified patterns and requirements
  7. Present Options: Display relevant prompts with descriptions, rationale, and availability status
  8. Validate: Ensure suggested prompts would add value not already covered by existing prompts
  9. Output: Provide structured table with suggestions, descriptions, and links to both awesome-copilot prompts and similar local prompts
  10. Next Steps: If any suggestions are made, provide instructions that GitHub Copilot will be able to follow to add the suggested prompts to the repository by downloading the file into the prompts directory. Offer to do this automatically if the user confirms.

Context Analysis Criteria

🔍 Repository Patterns:

  • Programming languages used (.cs, .js, .py, etc.)
  • Framework indicators (ASP.NET, React, Azure, etc.)
  • Project types (web apps, APIs, libraries, tools)
  • Documentation needs (README, specs, ADRs)

🗨️ Chat History Context:

  • Recent discussions and pain points
  • Feature requests or implementation needs
  • Code review patterns
  • Development workflow requirements

Output Format

Display analysis results in structured table comparing awesome-copilot prompts with existing repository prompts:

Awesome-Copilot Prompt Description Already Installed Similar Local Prompt Suggestion Rationale
code-review.md Automated code review prompts No None Would enhance development workflow with standardized code review processes
documentation.md Generate project documentation Yes create_oo_component_documentation.prompt.md Already covered by existing documentation prompts
debugging.md Debug assistance prompts No None Could improve troubleshooting efficiency for development team

Local Prompts Discovery Process

  1. List all *.prompt.md files directory .github/prompts/.
  2. For each discovered file, read front matter to extract description
  3. Build comprehensive inventory of existing prompts
  4. Use this inventory to avoid suggesting duplicates

Requirements

  • Use githubRepo tool to get content from awesome-copilot repository
  • Scan local file system for existing prompts in .github/prompts/ directory
  • Read YAML front matter from local prompt files to extract descriptions
  • Compare against existing prompts in this repository to avoid duplicates
  • Focus on gaps in current prompt library coverage
  • Validate that suggested prompts align with repository's purpose and standards
  • Provide clear rationale for each suggestion
  • Include links to both awesome-copilot prompts and similar local prompts
  • Don't provide any additional information or context beyond the table and the analysis

Icons Reference

  • Already installed in repo
  • Not installed in repo