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6 changes: 5 additions & 1 deletion .schemas/collection.schema.json
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"type": "string",
"description": "Type of the item",
"enum": ["prompt", "instruction", "chat-mode"]
},
"usage": {
"type": "string",
"description": "Optional usage context for the item"
}
}
},
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}
}
}
}
}
1 change: 1 addition & 0 deletions README.collections.md
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Expand Up @@ -25,5 +25,6 @@ Curated collections of related prompts, instructions, and chat modes organized a
| [Power Apps Code Apps Development](collections/power-apps-code-apps.md) | Complete toolkit for Power Apps Code Apps development including project scaffolding, development standards, and expert guidance for building code-first applications with Power Platform integration. | 3 items | power-apps, power-platform, typescript, react, code-apps, dataverse, connectors |
| [Project Planning & Management](collections/project-planning.md) | Tools and guidance for software project planning, feature breakdown, epic management, implementation planning, and task organization for development teams. | 17 items | planning, project-management, epic, feature, implementation, task, architecture, technical-spike |
| [Security & Code Quality](collections/security-best-practices.md) | Security frameworks, accessibility guidelines, performance optimization, and code quality best practices for building secure, maintainable, and high-performance applications. | 6 items | security, accessibility, performance, code-quality, owasp, a11y, optimization, best-practices |
| [Tasks by microsoft/edge-ai](collections/edge-ai-tasks.md) | Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai | 3 items | architecture, planning, research, tasks, implementation |
| [Technical Spike](collections/technical-spike.md) | Tools for creation, management and research of technical spikes to reduce unknowns and assumptions before proceeding to specification and implementation of solutions. | 2 items | technical-spike, assumption-testing, validation, research |
| [Testing & Test Automation](collections/testing-automation.md) | Comprehensive collection for writing tests, test automation, and test-driven development including unit tests, integration tests, and end-to-end testing strategies. | 11 items | testing, tdd, automation, unit-tests, integration, playwright, jest, nunit |
90 changes: 90 additions & 0 deletions collections/edge-ai-tasks.collection.yml
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id: edge-ai-tasks
name: Tasks by microsoft/edge-ai
description: Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
tags: [architecture, planning, research, tasks, implementation]
items:
# Planning Chat Modes
- path: chatmodes/task-researcher.chatmode.md
kind: chat-mode
usage: |
Now you can iterate on research for your tasks!

```markdown, research.prompt.md
---
mode: task-researcher
title: Research microsoft fabric realtime intelligence terraform support
---
Review the microsoft documentation for fabric realtime intelligence
and come up with ideas on how to implement this support into our terraform components.
```

Research is dumped out into a .copilot-tracking/research/*-research.md file and will include discoveries for GHCP along with examples and schema that will be useful during implementation.

Also, task-researcher will provide additional ideas for implementation which you can work with GitHub Copilot on selecting the right one to focus on.

- path: chatmodes/task-planner.chatmode.md
kind: chat-mode
usage: |
Also, task-researcher will provide additional ideas for implementation which you can work with GitHub Copilot on selecting the right one to focus on.

```markdown, task-plan.prompt.md
---
mode: task-planner
title: Plan microsoft fabric realtime intelligence terraform support
---
#file: .copilot-tracking/research/*-fabric-rti-blueprint-modification-research.md
Build a plan to support adding fabric rti to this project
```

`task-planner` will help you create a plan for implementing your task(s). It will use your fully researched ideas or build new research if not already provided.

`task-planner` will produce three (3) files that will be used by `task-implementation.instructions.md`.

* `.copilot-tracking/plan/*-plan.instructions.md`

* A newly generated instructions file that has the plan as a checklist of Phases and Tasks.
* `.copilot-tracking/details/*-details.md`

* The details for the implementation, the plan file refers to this file for specific details (important if you have a big plan).
* `.copilot-tracking/prompts/implement-*.prompt.md`

* A newly generated prompt file that will create a `.copilot-tracking/changes/*-changes.md` file and proceed to implement the changes.

Continue to use `task-planner` to iterate on the plan until you have exactly what you want done to your codebase.

# Planning Instructions
- path: instructions/task-implementation.instructions.md
kind: instruction
usage: |
Continue to use `task-planner` to iterate on the plan until you have exactly what you want done to your codebase.

When you are ready to implement the plan, **create a new chat** and switch to `Agent` mode then fire off the newly generated prompt.

```markdown, implement-fabric-rti-changes.prompt.md
---
mode: agent
title: Implement microsoft fabric realtime intelligence terraform support
---
/implement-fabric-rti-blueprint-modification phaseStop=true
```

This prompt has the added benefit of attaching the plan as instructions, which helps with keeping the plan in context throughout the whole conversation.

**Expert Warning** ->>Use `phaseStop=false` to have Copilot implement the whole plan without stopping. Additionally, you can use `taskStop=true` to have Copilot stop after every Task implementation for finer detail control.

To use these generated instructions and prompts, you'll need to update your `settings.json` accordingly:

```json
"chat.instructionsFilesLocations": {
// Existing instructions folders...
".copilot-tracking/plans": true
},
"chat.promptFilesLocations": {
// Existing prompts folders...
".copilot-tracking/prompts": true
},
```

display:
ordering: alpha # or "manual" to preserve the order above
show_badge: false # set to true to show collection badge on items
100 changes: 100 additions & 0 deletions collections/edge-ai-tasks.md
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# Tasks by microsoft/edge-ai

Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai

**Tags:** architecture, planning, research, tasks, implementation

## Items in this Collection

| Title | Type | Description |
| ----- | ---- | ----------- |
| [Task Researcher Instructions](../chatmodes/task-researcher.chatmode.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/chatmode?url=vscode%3Achat-mode%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fchatmodes%2Ftask-researcher.chatmode.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/chatmode?url=vscode-insiders%3Achat-mode%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fchatmodes%2Ftask-researcher.chatmode.md) | Chat Mode | Task research specialist for comprehensive project analysis - Brought to you by microsoft/edge-ai [see usage](#task-researcher-instructions) |
| [Task Planner Instructions](../chatmodes/task-planner.chatmode.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/chatmode?url=vscode%3Achat-mode%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fchatmodes%2Ftask-planner.chatmode.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/chatmode?url=vscode-insiders%3Achat-mode%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fchatmodes%2Ftask-planner.chatmode.md) | Chat Mode | Task planner for creating actionable implementation plans - Brought to you by microsoft/edge-ai [see usage](#task-planner-instructions) |
| [Task Plan Implementation Instructions](../instructions/task-implementation.instructions.md)<br />[![Install in VS Code](https://img.shields.io/badge/VS_Code-Install-0098FF?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/instructions?url=vscode%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Ftask-implementation.instructions.md)<br />[![Install in VS Code Insiders](https://img.shields.io/badge/VS_Code_Insiders-Install-24bfa5?style=flat-square&logo=visualstudiocode&logoColor=white)](https://aka.ms/awesome-copilot/install/instructions?url=vscode-insiders%3Achat-instructions%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Finstructions%2Ftask-implementation.instructions.md) | Instruction | Instructions for implementing task plans with progressive tracking and change record - Brought to you by microsoft/edge-ai [see usage](#task-plan-implementation-instructions) |

## Collection Usage

### Task Researcher Instructions

Now you can iterate on research for your tasks!

```markdown, research.prompt.md
---
mode: task-researcher
title: Research microsoft fabric realtime intelligence terraform support
---
Review the microsoft documentation for fabric realtime intelligence
and come up with ideas on how to implement this support into our terraform components.
```

Research is dumped out into a .copilot-tracking/research/*-research.md file and will include discoveries for GHCP along with examples and schema that will be useful during implementation.

Also, task-researcher will provide additional ideas for implementation which you can work with GitHub Copilot on selecting the right one to focus on.

---

### Task Planner Instructions

Also, task-researcher will provide additional ideas for implementation which you can work with GitHub Copilot on selecting the right one to focus on.

```markdown, task-plan.prompt.md
---
mode: task-planner
title: Plan microsoft fabric realtime intelligence terraform support
---
#file: .copilot-tracking/research/*-fabric-rti-blueprint-modification-research.md
Build a plan to support adding fabric rti to this project
```

`task-planner` will help you create a plan for implementing your task(s). It will use your fully researched ideas or build new research if not already provided.

`task-planner` will produce three (3) files that will be used by `task-implementation.instructions.md`.

* `.copilot-tracking/plan/*-plan.instructions.md`

* A newly generated instructions file that has the plan as a checklist of Phases and Tasks.
* `.copilot-tracking/details/*-details.md`

* The details for the implementation, the plan file refers to this file for specific details (important if you have a big plan).
* `.copilot-tracking/prompts/implement-*.prompt.md`

* A newly generated prompt file that will create a `.copilot-tracking/changes/*-changes.md` file and proceed to implement the changes.

Continue to use `task-planner` to iterate on the plan until you have exactly what you want done to your codebase.

---

### Task Plan Implementation Instructions

Continue to use `task-planner` to iterate on the plan until you have exactly what you want done to your codebase.

When you are ready to implement the plan, **create a new chat** and switch to `Agent` mode then fire off the newly generated prompt.

```markdown, implement-fabric-rti-changes.prompt.md
---
mode: agent
title: Implement microsoft fabric realtime intelligence terraform support
---
/implement-fabric-rti-blueprint-modification phaseStop=true
```

This prompt has the added benefit of attaching the plan as instructions, which helps with keeping the plan in context throughout the whole conversation.

**Expert Warning** ->>Use `phaseStop=false` to have Copilot implement the whole plan without stopping. Additionally, you can use `taskStop=true` to have Copilot stop after every Task implementation for finer detail control.

To use these generated instructions and prompts, you'll need to update your `settings.json` accordingly:

```json
"chat.instructionsFilesLocations": {
// Existing instructions folders...
".copilot-tracking/plans": true
},
"chat.promptFilesLocations": {
// Existing prompts folders...
".copilot-tracking/prompts": true
},
```

---

*This collection includes 3 curated items for tasks by microsoft/edge-ai.*
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