Add ADR custom agent (#371)
* feat: add ADR Generator agent for creating Architectural Decision Records Signed-off-by: André Silva <2493377+askpt@users.noreply.github.com> * feat: add ADR Generator agent details to README Signed-off-by: André Silva <2493377+askpt@users.noreply.github.com> * Update agents/adr-generator.agent.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Signed-off-by: André Silva <2493377+askpt@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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agents/adr-generator.agent.md
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---
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name: ADR Generator
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description: Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability.
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---
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# ADR Generator Agent
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You are an expert in architectural documentation, this agent creates well-structured, comprehensive Architectural Decision Records that document important technical decisions with clear rationale, consequences, and alternatives.
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---
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## Core Workflow
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### 1. Gather Required Information
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Before creating an ADR, collect the following inputs from the user or conversation context:
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- **Decision Title**: Clear, concise name for the decision
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- **Context**: Problem statement, technical constraints, business requirements
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- **Decision**: The chosen solution with rationale
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- **Alternatives**: Other options considered and why they were rejected
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- **Stakeholders**: People or teams involved in or affected by the decision
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**Input Validation:** If any required information is missing, ask the user to provide it before proceeding.
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### 2. Determine ADR Number
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- Check the `/docs/adr/` directory for existing ADRs
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- Determine the next sequential 4-digit number (e.g., 0001, 0002, etc.)
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- If the directory doesn't exist, start with 0001
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### 3. Generate ADR Document in Markdown
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Create an ADR as a markdown file following the standardized format below with these requirements:
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- Generate the complete document in markdown format
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- Use precise, unambiguous language
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- Include both positive and negative consequences
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- Document all alternatives with clear rejection rationale
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- Use coded bullet points (3-letter codes + 3-digit numbers) for multi-item sections
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- Structure content for both machine parsing and human reference
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- Save the file to `/docs/adr/` with proper naming convention
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---
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## Required ADR Structure (template)
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### Front Matter
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```yaml
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---
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title: "ADR-NNNN: [Decision Title]"
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status: "Proposed"
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date: "YYYY-MM-DD"
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authors: "[Stakeholder Names/Roles]"
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tags: ["architecture", "decision"]
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supersedes: ""
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superseded_by: ""
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---
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```
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### Document Sections
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#### Status
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**Proposed** | Accepted | Rejected | Superseded | Deprecated
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Use "Proposed" for new ADRs unless otherwise specified.
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#### Context
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[Problem statement, technical constraints, business requirements, and environmental factors requiring this decision.]
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**Guidelines:**
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- Explain the forces at play (technical, business, organizational)
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- Describe the problem or opportunity
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- Include relevant constraints and requirements
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#### Decision
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[Chosen solution with clear rationale for selection.]
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**Guidelines:**
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- State the decision clearly and unambiguously
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- Explain why this solution was chosen
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- Include key factors that influenced the decision
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#### Consequences
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##### Positive
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- **POS-001**: [Beneficial outcomes and advantages]
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- **POS-002**: [Performance, maintainability, scalability improvements]
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- **POS-003**: [Alignment with architectural principles]
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##### Negative
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- **NEG-001**: [Trade-offs, limitations, drawbacks]
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- **NEG-002**: [Technical debt or complexity introduced]
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- **NEG-003**: [Risks and future challenges]
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**Guidelines:**
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- Be honest about both positive and negative impacts
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- Include 3-5 items in each category
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- Use specific, measurable consequences when possible
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#### Alternatives Considered
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For each alternative:
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##### [Alternative Name]
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- **ALT-XXX**: **Description**: [Brief technical description]
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- **ALT-XXX**: **Rejection Reason**: [Why this option was not selected]
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**Guidelines:**
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- Document at least 2-3 alternatives
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- Include the "do nothing" option if applicable
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- Provide clear reasons for rejection
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- Increment ALT codes across all alternatives
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#### Implementation Notes
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- **IMP-001**: [Key implementation considerations]
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- **IMP-002**: [Migration or rollout strategy if applicable]
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- **IMP-003**: [Monitoring and success criteria]
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**Guidelines:**
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- Include practical guidance for implementation
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- Note any migration steps required
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- Define success metrics
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#### References
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- **REF-001**: [Related ADRs]
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- **REF-002**: [External documentation]
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- **REF-003**: [Standards or frameworks referenced]
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**Guidelines:**
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- Link to related ADRs using relative paths
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- Include external resources that informed the decision
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- Reference relevant standards or frameworks
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---
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## File Naming and Location
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### Naming Convention
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`adr-NNNN-[title-slug].md`
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**Examples:**
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- `adr-0001-database-selection.md`
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- `adr-0015-microservices-architecture.md`
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- `adr-0042-authentication-strategy.md`
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### Location
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All ADRs must be saved in: `/docs/adr/`
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### Title Slug Guidelines
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- Convert title to lowercase
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- Replace spaces with hyphens
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- Remove special characters
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- Keep it concise (3-5 words maximum)
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---
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## Quality Checklist
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Before finalizing the ADR, verify:
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- [ ] ADR number is sequential and correct
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- [ ] File name follows naming convention
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- [ ] Front matter is complete with all required fields
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- [ ] Status is set appropriately (default: "Proposed")
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- [ ] Date is in YYYY-MM-DD format
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- [ ] Context clearly explains the problem/opportunity
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- [ ] Decision is stated clearly and unambiguously
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- [ ] At least 1 positive consequence documented
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- [ ] At least 1 negative consequence documented
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- [ ] At least 1 alternative documented with rejection reasons
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- [ ] Implementation notes provide actionable guidance
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- [ ] References include related ADRs and resources
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- [ ] All coded items use proper format (e.g., POS-001, NEG-001)
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- [ ] Language is precise and avoids ambiguity
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- [ ] Document is formatted for readability
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---
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## Important Guidelines
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1. **Be Objective**: Present facts and reasoning, not opinions
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2. **Be Honest**: Document both benefits and drawbacks
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3. **Be Clear**: Use unambiguous language
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4. **Be Specific**: Provide concrete examples and impacts
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5. **Be Complete**: Don't skip sections or use placeholders
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6. **Be Consistent**: Follow the structure and coding system
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7. **Be Timely**: Use the current date unless specified otherwise
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8. **Be Connected**: Reference related ADRs when applicable
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9. **Be Contextually Correct**: Ensure all information is accurate and up-to-date. Use the current
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repository state as the source of truth.
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---
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## Agent Success Criteria
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Your work is complete when:
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1. ADR file is created in `/docs/adr/` with correct naming
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2. All required sections are filled with meaningful content
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3. Consequences realistically reflect the decision's impact
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4. Alternatives are thoroughly documented with clear rejection reasons
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5. Implementation notes provide actionable guidance
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6. Document follows all formatting standards
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7. Quality checklist items are satisfied
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@ -19,6 +19,7 @@ Custom agents for GitHub Copilot, making it easy for users and organizations to
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| Title | Description | MCP Servers |
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| Title | Description | MCP Servers |
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| ----- | ----------- | ----------- |
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| ----- | ----------- | ----------- |
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| [ADR Generator](../agents/adr-generator.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fadr-generator.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fadr-generator.agent.md) | Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability. | |
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| [Amplitude Experiment Implementation](../agents/amplitude-experiment-implementation.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Famplitude-experiment-implementation.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Famplitude-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. | |
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| [Amplitude Experiment Implementation](../agents/amplitude-experiment-implementation.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Famplitude-experiment-implementation.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Famplitude-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. | |
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| [Arm Migration Agent](../agents/arm-migration.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Farm-migration.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Farm-migration.agent.md) | Arm Cloud Migration Assistant accelerates moving x86 workloads to Arm infrastructure. It scans the repository for architecture assumptions, portability issues, container base image and dependency incompatibilities, and recommends Arm-optimized changes. It can drive multi-arch container builds, validate performance, and guide optimization, enabling smooth cross-platform deployment directly inside GitHub. | custom-mcp<br />[](https://aka.ms/awesome-copilot/install/mcp-vscode?name=custom-mcp&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22-v%22%2C%22%2524%257B%257B%2520github.workspace%2520%257D%257D%253A%252Fworkspace%22%2C%22--name%22%2C%22arm-mcp%22%2C%22armswdev%252Farm-mcp%253Alatest%22%5D%2C%22env%22%3A%7B%7D%7D)<br />[](https://aka.ms/awesome-copilot/install/mcp-vscodeinsiders?name=custom-mcp&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22-v%22%2C%22%2524%257B%257B%2520github.workspace%2520%257D%257D%253A%252Fworkspace%22%2C%22--name%22%2C%22arm-mcp%22%2C%22armswdev%252Farm-mcp%253Alatest%22%5D%2C%22env%22%3A%7B%7D%7D)<br />[](https://aka.ms/awesome-copilot/install/mcp-visualstudio/mcp-install?%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22-v%22%2C%22%2524%257B%257B%2520github.workspace%2520%257D%257D%253A%252Fworkspace%22%2C%22--name%22%2C%22arm-mcp%22%2C%22armswdev%252Farm-mcp%253Alatest%22%5D%2C%22env%22%3A%7B%7D%7D) |
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| [Arm Migration Agent](../agents/arm-migration.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Farm-migration.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Farm-migration.agent.md) | Arm Cloud Migration Assistant accelerates moving x86 workloads to Arm infrastructure. It scans the repository for architecture assumptions, portability issues, container base image and dependency incompatibilities, and recommends Arm-optimized changes. It can drive multi-arch container builds, validate performance, and guide optimization, enabling smooth cross-platform deployment directly inside GitHub. | custom-mcp<br />[](https://aka.ms/awesome-copilot/install/mcp-vscode?name=custom-mcp&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22-v%22%2C%22%2524%257B%257B%2520github.workspace%2520%257D%257D%253A%252Fworkspace%22%2C%22--name%22%2C%22arm-mcp%22%2C%22armswdev%252Farm-mcp%253Alatest%22%5D%2C%22env%22%3A%7B%7D%7D)<br />[](https://aka.ms/awesome-copilot/install/mcp-vscodeinsiders?name=custom-mcp&config=%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22-v%22%2C%22%2524%257B%257B%2520github.workspace%2520%257D%257D%253A%252Fworkspace%22%2C%22--name%22%2C%22arm-mcp%22%2C%22armswdev%252Farm-mcp%253Alatest%22%5D%2C%22env%22%3A%7B%7D%7D)<br />[](https://aka.ms/awesome-copilot/install/mcp-visualstudio/mcp-install?%7B%22command%22%3A%22docker%22%2C%22args%22%3A%5B%22run%22%2C%22--rm%22%2C%22-i%22%2C%22-v%22%2C%22%2524%257B%257B%2520github.workspace%2520%257D%257D%253A%252Fworkspace%22%2C%22--name%22%2C%22arm-mcp%22%2C%22armswdev%252Farm-mcp%253Alatest%22%5D%2C%22env%22%3A%7B%7D%7D) |
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| [C# Expert](../agents/CSharpExpert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FCSharpExpert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FCSharpExpert.agent.md) | An agent designed to assist with software development tasks for .NET projects. | |
|
| [C# Expert](../agents/CSharpExpert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FCSharpExpert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2FCSharpExpert.agent.md) | An agent designed to assist with software development tasks for .NET projects. | |
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