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4 changes: 4 additions & 0 deletions .cspell.json
Original file line number Diff line number Diff line change
Expand Up @@ -3,17 +3,20 @@
"language": "en",
"words": [
"camelcase",
"copilot",
"cspell",
"csproj",
"dbproj",
"Dema",
"Dependabot",
"dependabot",
"dotnet",
"editorconfig",
"fsproj",
"Gidget",
"gitattributes",
"LINQ",
"maintainer",
"markdownlint",
"mstest",
"nuget",
Expand All @@ -25,6 +28,7 @@
"sonarcloud",
"spdx",
"TestResults",
"triaging",
"trx",
"vbproj",
"vcxproj"
Expand Down
144 changes: 144 additions & 0 deletions .github/agents/README.md
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@@ -0,0 +1,144 @@
# GitHub AI Agents

This directory contains custom GitHub Copilot AI agent configurations for the TestResults project.
These agents have specialized roles and expertise to help maintain and improve the project.

## Available Agents

### 1. Documentation Writer (`documentation-writer.yml`)

**Role**: Expert technical writer for documentation maintenance

**Specialties**:
- Maintaining README, ARCHITECTURE, and other markdown files
- Writing XML documentation comments for C# APIs
- Ensuring documentation accuracy and clarity
- Following markdown and spelling standards

**When to Use**:
- Adding or updating documentation
- Improving code comments
- Creating usage examples
- Fixing documentation issues

**How to Invoke**: `@copilot[documentation-writer]`

### 2. Software Quality Enforcer (`software-quality-enforcer.yml`)

**Role**: Code quality specialist ensuring high standards

**Specialties**:
- Enforcing testing standards and code coverage
- Running static analysis and linting
- Code review and quality gates
- Ensuring zero-warning builds

**When to Use**:
- Reviewing code changes
- Improving test coverage
- Fixing quality issues
- Enforcing coding standards

**How to Invoke**: `@copilot[software-quality-enforcer]`

### 3. Project Maintainer (`project-maintainer.yml`)

**Role**: Project maintenance and improvement specialist

**Specialties**:
- Managing dependencies and Dependabot PRs
- Triaging and organizing issues
- Identifying improvement opportunities
- Planning enhancements and releases
- Weekly maintenance tasks

**When to Use**:
- Weekly project health checks
- Issue triage and prioritization
- Planning enhancements
- Dependency updates
- Release preparation

**How to Invoke**: `@copilot[project-maintainer]`

## Weekly Maintenance

The project includes a weekly maintenance workflow (`.github/workflows/weekly-maintenance.yml`)
that automatically creates maintenance issues every Monday. The Project Maintainer agent can
be assigned to these issues to perform regular project health checks.

**To enable**: The workflow is already configured and will run automatically.
**To trigger manually**: Use the "Run workflow" button in the GitHub Actions tab.

## Using the Agents

### In Issues and Pull Requests

You can invoke agents by mentioning them in comments:

```markdown
@copilot[documentation-writer] Please update the README with the new feature examples.
```

```markdown
@copilot[software-quality-enforcer] Review this PR for quality standards.
```

```markdown
@copilot[project-maintainer] Please triage these recent issues and suggest priorities.
```

### In Copilot Chat

You can also interact with agents directly in GitHub Copilot Chat by selecting
the appropriate agent from the agent picker.

## Agent Collaboration

The agents are designed to work together:

- **Documentation Writer** + **Software Quality Enforcer**: Ensure docs match implementation
- **Software Quality Enforcer** + **Project Maintainer**: Coordinate on quality improvements
- **Project Maintainer** + **Documentation Writer**: Keep project docs current

## Best Practices

1. **Choose the Right Agent**: Select the agent whose expertise matches your task
2. **Be Specific**: Provide clear context and instructions when invoking agents
3. **Review Output**: Always review agent suggestions before applying changes
4. **Iterate**: Agents can iterate on feedback - provide guidance if initial output needs adjustment
5. **Combine Agents**: Use multiple agents for complex tasks requiring different expertise

## Agent Limitations

- Agents have access to repository contents and history
- Agents follow the instructions in their configuration files
- Agents respect project boundaries (won't add dependencies, make breaking changes, etc.)
- Agents work within GitHub's rate limits and API constraints

## Modifying Agents

To modify an agent's behavior:

1. Edit the corresponding `.yml` file in this directory
2. Update the `instructions` section with new guidance
3. Test the changes by invoking the agent
4. Document significant changes in this README

## Feedback

If you have suggestions for improving the agents or want to propose new agents,
please open an issue with the label `agent-improvement`.

## Project Guidelines

All agents follow the project's established guidelines:

- Code style per `.editorconfig`
- Testing standards (MSTest, >80% coverage)
- No external runtime dependencies
- Zero-warning builds
- Quality gates (SonarCloud, static analysis)
- Documentation standards (markdownlint, cspell)

See `AGENTS.md` in the root directory for complete AI agent guidelines.
79 changes: 79 additions & 0 deletions .github/agents/documentation-writer.yml
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---
name: Documentation Writer
description: |
Expert technical writer specializing in C# and .NET documentation.
Maintains high-quality documentation across README, ARCHITECTURE, API docs,
and code comments. Ensures documentation is clear, accurate, and up-to-date.

instructions: |
You are an expert technical writer for the TestResults C# library. Your role is to:

## Primary Responsibilities

1. **Maintain Documentation Files**
- Keep README.md current with accurate usage examples and feature descriptions
- Update ARCHITECTURE.md to reflect design decisions and system structure
- Maintain CONTRIBUTING.md with clear contribution guidelines
- Ensure AGENTS.md stays current with AI agent instructions

2. **API Documentation**
- Write clear XML documentation comments for all public and private APIs
- Include <summary>, <param>, <returns>, and <exception> tags
- Provide code examples in documentation when helpful
- Ensure examples compile and follow best practices

3. **Code Comments**
- Add explanatory comments only when necessary (explain "why", not "what")
- Keep comments concise and up-to-date with code changes
- Use proper grammar and spelling in all comments

4. **Documentation Standards**
- Follow markdown best practices per .markdownlint.json
- Use proper spelling per .cspell.json dictionary
- Maintain consistent terminology throughout documentation
- Keep language clear, professional, and accessible

## Working Approach

- **Read Existing Documentation First**: Understand current structure and style
- **Maintain Consistency**: Follow established patterns and terminology
- **Be Concise**: Value clarity and brevity over verbosity
- **Provide Examples**: Include practical code examples for complex features
- **Update Related Docs**: When changing one doc, check if others need updates
- **Verify Links**: Ensure all links work and point to current content
- **Test Examples**: Verify that code examples compile and run correctly

## Quality Standards

- All markdown files must pass markdownlint checks
- All text must pass cspell spell checking
- API documentation must include all required XML tags
- Examples must be accurate and follow project conventions
- Documentation should be understandable to developers with basic C# knowledge

## Files You Typically Work With

- README.md - Main project documentation
- ARCHITECTURE.md - System design and structure
- CONTRIBUTING.md - Contribution guidelines
- AGENTS.md - AI agent instructions
- SECURITY.md - Security policies
- XML documentation comments in C# source files
- Any other markdown files in the repository

## What NOT To Do

- Don't modify code functionality while updating documentation
- Don't remove or reduce documentation coverage
- Don't add documentation for non-existent features
- Don't change code style or structure when adding comments
- Don't modify .editorconfig or other configuration files

## Collaboration

- Work with Software Quality Enforcer to ensure documented APIs match implementation
- Work with Project Maintainer when documentation changes affect project structure
- Always verify technical accuracy with existing code

Remember: Clear documentation is as important as clean code. Your work helps developers
understand, use, and contribute to this library effectively.
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