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‎.github/agents/meta-agentic-project-scaffold.agent.md‎

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---
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description: 'Meta agentic project creation assistant to help users create and manage project workflows effectively.'
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tools: ['edit/editFiles', 'runNotebooks', 'search', 'new', 'runCommands', 'runTasks', 'usages', 'vscodeAPI', 'problems', 'changes', 'testFailure', 'openSimpleBrowser', 'fetch', 'githubRepo', 'github.vscode-pull-request-github/copilotCodingAgent', 'github.vscode-pull-request-github/activePullRequest', 'extensions']
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model: 'GPT-4.1'
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---
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Your sole task is to find and pull relevant prompts, instructions and chatmodes from https://github.com/github/awesome-copilot
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All relevant instructions, prompts and chatmodes that might be able to assist in an app development, provide a list of them with their vscode-insiders install links and explainer what each does and how to use it in our app, build me effective workflows
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For each please pull it and place it in the right folder in the project
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Do not do anything else, just pull the files
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At the end of the project, provide a summary of what you have done and how it can be used in the app development process
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Make sure to include the following in your summary: list of workflows which are possible by these prompts, instructions and chatmodes, how they can be used in the app development process, and any additional insights or recommendations for effective project management.
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Do not change or summarize any of the tools, copy and place them as is
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<!-- tools: ['changes', 'codebase', 'edit/editFiles', 'extensions', 'fetch', 'findTestFiles', 'githubRepo', 'new', 'openSimpleBrowser', 'problems', 'readCellOutput', 'runCommands', 'runNotebooks', 'runTasks', 'runTests', 'search', 'searchResults', 'terminalLastCommand', 'terminalSelection', 'testFailure', 'updateUserPreferences', 'usages', 'vscodeAPI', 'activePullRequest', 'copilotCodingAgent'] -->

‎.github/copilot-instructions.md‎

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# AI Coding Agent Instructions
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Purpose: Immediate UI/UX productivity in this Next.js 16 + NextAuth + Prisma + shadcn-ui multi-tenant e-commerce SaaS.
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Purpose: Immediate UI/UX improvement and productivity in this Next.js 16 + NextAuth + Prisma + shadcn-ui multi-tenant e-commerce SaaS.
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## Architecture
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App Router in `src/app`; root layout `layout.tsx`. Public auth segment `(auth)` with `login`, `signup`, `verify-email`. Protected routes: `dashboard`, `projects`, `team`, `settings` (and `settings/billing`). Auth config `src/lib/auth.ts`; handler `api/auth/[...nextauth]/route.ts`. Current provider: Email magic link (password login planned). JWT sessions; `session.user.id` added in callback (retain). Protection via `middleware.ts` (re-export of `next-auth/middleware`) with `config.matcher`; include `:path*` for new secure paths.

‎.github/prompts/suggest-awesome-github-copilot-agents.prompt.md‎

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---
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agent: "agent"
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description: "Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository."
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tools: ["edit", "search", "runCommands", "runTasks", "changes", "testFailure", "openSimpleBrowser", "fetch", "githubRepo", "todos"]
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---
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# Suggest Awesome GitHub Copilot Custom Agents
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Analyze current repository context and suggest relevant Custom Agents files from the [GitHub awesome-copilot repository](https://github.com/github/awesome-copilot/blob/main/docs/README.agents.md) that are not already available in this repository. Custom Agent files are located in the [agents](https://github.com/github/awesome-copilot/tree/main/agents) folder of the awesome-copilot repository.
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## Process
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1. **Fetch Available Custom Agents**: Extract Custom Agents list and descriptions from [awesome-copilot README.agents.md](https://github.com/github/awesome-copilot/blob/main/docs/README.agents.md). Must use `fetch` tool.
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2. **Scan Local Custom Agents**: Discover existing custom agent files in `.github/agents/` folder
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3. **Extract Descriptions**: Read front matter from local custom agent files to get descriptions
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4. **Analyze Context**: Review chat history, repository files, and current project needs
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5. **Compare Existing**: Check against custom agents already available in this repository
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6. **Match Relevance**: Compare available custom agents against identified patterns and requirements
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7. **Present Options**: Display relevant custom agents with descriptions, rationale, and availability status
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8. **Validate**: Ensure suggested agents would add value not already covered by existing agents
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9. **Output**: Provide structured table with suggestions, descriptions, and links to both awesome-copilot custom agents and similar local custom agents
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**AWAIT** user request to proceed with installation of specific custom agents. DO NOT INSTALL UNLESS DIRECTED TO DO SO.
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10. **Download Assets**: For requested agents, automatically download and install individual agents to `.github/agents/` folder. Do NOT adjust content of the files. Use `#todos` tool to track progress. Prioritize use of `#fetch` tool to download assets, but may use `curl` using `#runInTerminal` tool to ensure all content is retrieved.
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## Context Analysis Criteria
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🔍 **Repository Patterns**:
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- Programming languages used (.cs, .js, .py, etc.)
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- Framework indicators (ASP.NET, React, Azure, etc.)
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- Project types (web apps, APIs, libraries, tools)
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- Documentation needs (README, specs, ADRs)
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🗨️ **Chat History Context**:
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- Recent discussions and pain points
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- Feature requests or implementation needs
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- Code review patterns
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- Development workflow requirements
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## Output Format
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Display analysis results in structured table comparing awesome-copilot custom agents with existing repository custom agents:
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| Awesome-Copilot Custom Agent | Description | Already Installed | Similar Local Custom Agent | Suggestion Rationale |
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| ------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------- | ---------------------------------- | ------------------------------------------------------------- |
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| [amplitude-experiment-implementation.agent.md](https://github.com/github/awesome-copilot/blob/main/agents/amplitude-experiment-implementation.agent.md) | This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features | ❌ No | None | Would enhance experimentation capabilities within the product |
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| [launchdarkly-flag-cleanup.agent.md](https://github.com/github/awesome-copilot/blob/main/agents/launchdarkly-flag-cleanup.agent.md) | Feature flag cleanup agent for LaunchDarkly | ✅ Yes | launchdarkly-flag-cleanup.agent.md | Already covered by existing LaunchDarkly custom agents |
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## Local Agent Discovery Process
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1. List all `*.agent.md` files in `.github/agents/` directory
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2. For each discovered file, read front matter to extract `description`
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3. Build comprehensive inventory of existing agents
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4. Use this inventory to avoid suggesting duplicates
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## Requirements
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- Use `githubRepo` tool to get content from awesome-copilot repository agents folder
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- Scan local file system for existing agents in `.github/agents/` directory
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- Read YAML front matter from local agent files to extract descriptions
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- Compare against existing agents in this repository to avoid duplicates
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- Focus on gaps in current agent library coverage
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- Validate that suggested agents align with repository's purpose and standards
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- Provide clear rationale for each suggestion
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- Include links to both awesome-copilot agents and similar local agents
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- Don't provide any additional information or context beyond the table and the analysis
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## Icons Reference
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- ✅ Already installed in repo
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- ❌ Not installed in repo

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