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Add Software Engineering Team Collection - AI Assistants for Multi-Disciplinary Development Teams (#478)
* Add Software Engineering Team collection with 7 specialized agents
Adds a complete Software Engineering Team collection with 7 standalone
agents covering the full development lifecycle, based on learnings from
The AI-Native Engineering Flow experiments.
New Agents (all prefixed with 'se-' for collection identification):
- se-ux-ui-designer: Jobs-to-be-Done analysis, user journey mapping,
and Figma-ready UX research artifacts
- se-technical-writer: Creates technical documentation, blogs, and tutorials
- se-gitops-ci-specialist: CI/CD pipeline debugging and GitOps workflows
- se-product-manager-advisor: GitHub issue creation and product guidance
- se-responsible-ai-code: Bias testing, accessibility, and ethical AI
- se-system-architecture-reviewer: Architecture reviews with Well-Architected
- se-security-reviewer: OWASP Top 10/LLM/ML security and Zero Trust
Key Features:
- Each agent is completely standalone (no cross-dependencies)
- Concise display names for GitHub Copilot dropdown ("SE: [Role]")
- Fills gaps in awesome-copilot (UX design, content creation, CI/CD debugging)
- Enterprise patterns: OWASP, Zero Trust, WCAG, Well-Architected Framework
Collection manifest, auto-generated docs, and all agents follow
awesome-copilot conventions.
Source: https://github.com/niksacdev/engineering-team-agents
Learnings: https://medium.com/data-science-at-microsoft/the-ai-native-engineering-flow-5de5ffd7d877
* Fix Copilot review comments: table formatting and code block syntax
- Fix table formatting in docs/README.collections.md by converting multi-line
Software Engineering Team entry to single line
- Fix code block language in se-gitops-ci-specialist.agent.md from yaml to json
for package.json example (line 41-51)
- Change comment syntax from # to // to match JSON conventions
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Fix model field capitalization to match GitHub Copilot convention
- Change all agents from 'model: gpt-5' to 'model: GPT-5' (uppercase)
- Aligns with existing GPT-5 agents in the repo (blueprint-mode, gpt-5-beast-mode)
- Addresses Copilot reviewer feedback on consistency
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Add ADR and User Guide templates to Technical Writer agent
- Add Architecture Decision Records (ADR) template following Michael Nygard format
- Add User Guide template with task-oriented structure
- Include references to external best practices (ADR.github.io, Write the Docs)
- Update Specialized Focus Areas to reference new templates
- Keep templates concise without bloating agent definition
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Fix inconsistent formatting: DevOps/CI-CD to DevOps/CI/CD
- Change "DevOps/CI-CD" (hyphen) to "DevOps/CI/CD" (slash) for consistency
- Fixed in collection manifest, collection docs, and README
- Aligns with standard industry convention and agent naming
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
* Shorten collection description per maintainer feedback
- Brief description in table: "7 specialized agents covering the full software
development lifecycle from UX design and architecture to security and DevOps."
- Move detailed context (Medium article, design principles, agent list) to
usage section following edge-ai-tasks pattern
- Addresses @aaronpowell feedback: descriptions should be brief for table display
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
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collections/software-engineering-team.collection.yml
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collections/software-engineering-team.collection.yml
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id: software-engineering-team
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name: Software Engineering Team
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description: 7 specialized agents covering the full software development lifecycle from UX design and architecture to security and DevOps.
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tags: [team, enterprise, security, devops, ux, architecture, product, ai-ethics]
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items:
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- path: agents/se-ux-ui-designer.agent.md
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kind: agent
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usage: |
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## About This Collection
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This collection of 7 agents is based on learnings from [The AI-Native Engineering Flow](https://medium.com/data-science-at-microsoft/the-ai-native-engineering-flow-5de5ffd7d877) experiments at Microsoft, designed to augment software engineering teams across the entire development lifecycle.
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**Key Design Principles:**
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- **Standalone**: Each agent works independently without cross-dependencies
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- **Enterprise-ready**: Incorporates OWASP, Zero Trust, WCAG, and Well-Architected frameworks
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- **Lifecycle coverage**: From UX research → Architecture → Development → Security → DevOps
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**Agents in this collection:**
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- **SE: UX Designer** - Jobs-to-be-Done analysis and user journey mapping
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- **SE: Tech Writer** - Technical documentation, blogs, ADRs, and user guides
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- **SE: DevOps/CI** - CI/CD debugging and deployment troubleshooting
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- **SE: Product Manager** - GitHub issues with business context and acceptance criteria
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- **SE: Responsible AI** - Bias testing, accessibility (WCAG), and ethical development
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- **SE: Architect** - Architecture reviews with Well-Architected frameworks
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- **SE: Security** - OWASP Top 10, LLM/ML security, and Zero Trust
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You can use individual agents as needed or adopt the full collection for comprehensive team augmentation.
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- path: agents/se-technical-writer.agent.md
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kind: agent
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- path: agents/se-gitops-ci-specialist.agent.md
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kind: agent
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- path: agents/se-product-manager-advisor.agent.md
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kind: agent
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- path: agents/se-responsible-ai-code.agent.md
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kind: agent
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- path: agents/se-system-architecture-reviewer.agent.md
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kind: agent
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- path: agents/se-security-reviewer.agent.md
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kind: agent
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display:
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ordering: manual
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show_badge: true
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