Prompt file imported from oscarjaergren/LinguaFlutter (.windsurf/workflows/suggest-awesome-github-copilot-prompts.prompt.md). Copyright stays with the author.

Suggest Awesome GitHub Copilot Prompts

Name: suggest-awesome-github-copilot-prompts
Author: oscarjaergren

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

Process

Fetch Available Prompts: Extract prompt list and descriptions from awesome-copilot README
Scan Local Prompts: Discover existing prompt files in .github/prompts/ folder
Extract Descriptions: Read front matter from local prompt files to get descriptions
Analyze Context: Review chat history, repository files, and current project needs
Compare Existing: Check against prompts already available in this repository
Match Relevance: Compare available prompts against identified patterns and requirements
Present Options: Display relevant prompts with descriptions, rationale, and availability status
Validate: Ensure suggested prompts would add value not already covered by existing prompts
Output: Provide structured table with suggestions, descriptions, and links to both awesome-copilot prompts and similar local prompts
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

List all *.prompt.md files directory .github/prompts/.
For each discovered file, read front matter to extract description
Build comprehensive inventory of existing prompts
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

# Suggest Awesome GitHub Copilot Prompts Analyze current repository context and suggest relevant prompt files from the [GitHub awesome-copilot repository](https://github.com/github/awesome-copilot/tree/main/prompts) that are not already available in this repository. ## Process 1. **Fetch Available Prompts**: Extract prompt list and descriptions from [awesome-copilot README](https://github.com/github/awesome-copilot/blob/main/README.md) 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](https://github.com/github/awesome-copilot/blob/main/prompts/code-review.md) | Automated code review prompts | ❌ No | None | Would enhance development workflow with standardized code review processes | | [documentation.md](https://github.com/github/awesome-copilot/blob/main/prompts/documentation.md) | Generate project documentation | ✅ Yes | create_oo_component_documentation.prompt.md | Already covered by existing documentation prompts | | [debugging.md](https://github.com/github/awesome-copilot/blob/main/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

{ "prompt": "# Suggest Awesome GitHub Copilot Prompts\n\nAnalyze current repository context and suggest relevant prompt files from the [GitHub awesome-copilot repository](https://github.com/github/awesome-copilot/tree/main/prompts) that are not already available in this repository.\n\n## Process\n\n1. **Fetch Available Prompts**: Extract prompt list and descriptions from [awesome-copilot README](https://github.com/github/awesome-copilot/blob/main/README.md)\n2. **Scan Local Prompts**: Discover existing prompt files in `.github/prompts/` folder\n3. **Extract Descriptions**: Read front matter from local prompt files to get descriptions\n4. **Analyze Context**: Review chat history, repository files, and current project needs\n5. **Compare Existing**: Check against prompts already available in this repository\n6. **Match Relevance**: Compare available prompts against identified patterns and requirements\n7. **Present Options**: Display relevant prompts with descriptions, rationale, and availability status\n8. **Validate**: Ensure suggested prompts would add value not already covered by existing prompts\n9. **Output**: Provide structured table with suggestions, descriptions, and links to both awesome-copilot prompts and similar local prompts\n10. **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.\n\n## Context Analysis Criteria\n\n🔍 **Repository Patterns**:\n- Programming languages used (.cs, .js, .py, etc.)\n- Framework indicators (ASP.NET, React, Azure, etc.)\n- Project types (web apps, APIs, libraries, tools)\n- Documentation needs (README, specs, ADRs)\n\n🗨️ **Chat History Context**:\n- Recent discussions and pain points\n- Feature requests or implementation needs\n- Code review patterns\n- Development workflow requirements\n\n## Output Format\n\nDisplay analysis results in structured table comparing awesome-copilot prompts with existing repository prompts:\n\n| Awesome-Copilot Prompt | Description | Already Installed | Similar Local Prompt | Suggestion Rationale |\n|-------------------------|-------------|-------------------|---------------------|---------------------|\n| [code-review.md](https://github.com/github/awesome-copilot/blob/main/prompts/code-review.md) | Automated code review prompts | ❌ No | None | Would enhance development workflow with standardized code review processes |\n| [documentation.md](https://github.com/github/awesome-copilot/blob/main/prompts/documentation.md) | Generate project documentation | ✅ Yes | create_oo_component_documentation.prompt.md | Already covered by existing documentation prompts |\n| [debugging.md](https://github.com/github/awesome-copilot/blob/main/prompts/debugging.md) | Debug assistance prompts | ❌ No | None | Could improve troubleshooting efficiency for development team |\n\n## Local Prompts Discovery Process\n\n1. List all `*.prompt.md` files directory `.github/prompts/`.\n2. For each discovered file, read front matter to extract `description`\n3. Build comprehensive inventory of existing prompts\n4. Use this inventory to avoid suggesting duplicates\n\n## Requirements\n\n- Use `githubRepo` tool to get content from awesome-copilot repository\n- Scan local file system for existing prompts in `.github/prompts/` directory\n- Read YAML front matter from local prompt files to extract descriptions\n- Compare against existing prompts in this repository to avoid duplicates\n- Focus on gaps in current prompt library coverage\n- Validate that suggested prompts align with repository's purpose and standards\n- Provide clear rationale for each suggestion\n- Include links to both awesome-copilot prompts and similar local prompts\n- Don't provide any additional information or context beyond the table and the analysis\n\n\n## Icons Reference\n\n- ✅ Already installed in repo\n- ❌ Not installed in repo", "variables": [], "notes": "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. Mode: agent. Tools: changes, codebase, editFiles, fetch, findTestFiles, githubRepo, new, openSimpleBrowser, problems, runCommands, runTasks, runTests.", "metadata": { "source": { "provider": "github-windsurf-workflows", "repository": "https://github.com/oscarjaergren/LinguaFlutter", "path": ".windsurf/workflows/suggest-awesome-github-copilot-prompts.prompt.md", "ref": "d777241f99bb739027560145a51df02d4d2b05cc", "url": "https://github.com/oscarjaergren/LinguaFlutter/blob/d777241f99bb739027560145a51df02d4d2b05cc/.windsurf/workflows/suggest-awesome-github-copilot-prompts.prompt.md", "key": "oscarjaergren/LinguaFlutter/.windsurf/workflows/suggest-awesome-github-copilot-prompts.prompt.md" } } }

suggest-awesome-github-copilot-prompts

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