Major changes: - Organized Python v1 implementation into v1/ subdirectory - Created Rust workspace with 9 modular crates: - wifi-densepose-core: Core types, traits, errors - wifi-densepose-signal: CSI processing, phase sanitization, FFT - wifi-densepose-nn: Neural network inference (ONNX/Candle/tch) - wifi-densepose-api: Axum-based REST/WebSocket API - wifi-densepose-db: SQLx database layer - wifi-densepose-config: Configuration management - wifi-densepose-hardware: Hardware abstraction - wifi-densepose-wasm: WebAssembly bindings - wifi-densepose-cli: Command-line interface Documentation: - ADR-001: Workspace structure - ADR-002: Signal processing library selection - ADR-003: Neural network inference strategy - DDD domain model with bounded contexts Testing: - 69 tests passing across all crates - Signal processing: 45 tests - Neural networks: 21 tests - Core: 3 doc tests Performance targets: - 10x faster CSI processing (~0.5ms vs ~5ms) - 5x lower memory usage (~100MB vs ~500MB) - WASM support for browser deployment
122 lines
2.4 KiB
Markdown
122 lines
2.4 KiB
Markdown
# github swarm
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Create a specialized swarm for GitHub repository management.
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## Usage
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```bash
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npx claude-flow github swarm [options]
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```
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## Options
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- `--repository, -r <owner/repo>` - Target GitHub repository
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- `--agents, -a <number>` - Number of specialized agents (default: 5)
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- `--focus, -f <type>` - Focus area: maintenance, development, review, triage
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- `--auto-pr` - Enable automatic pull request enhancements
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- `--issue-labels` - Auto-categorize and label issues
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- `--code-review` - Enable AI-powered code reviews
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## Examples
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### Basic GitHub swarm
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```bash
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npx claude-flow github swarm --repository owner/repo
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```
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### Maintenance-focused swarm
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```bash
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npx claude-flow github swarm -r owner/repo -f maintenance --issue-labels
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```
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### Development swarm with PR automation
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```bash
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npx claude-flow github swarm -r owner/repo -f development --auto-pr --code-review
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```
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### Full-featured triage swarm
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```bash
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npx claude-flow github swarm -r owner/repo -a 8 -f triage --issue-labels --auto-pr
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```
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## Agent Types
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### Issue Triager
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- Analyzes and categorizes issues
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- Suggests labels and priorities
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- Identifies duplicates and related issues
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### PR Reviewer
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- Reviews code changes
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- Suggests improvements
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- Checks for best practices
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### Documentation Agent
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- Updates README files
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- Creates API documentation
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- Maintains changelog
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### Test Agent
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- Identifies missing tests
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- Suggests test cases
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- Validates test coverage
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### Security Agent
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- Scans for vulnerabilities
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- Reviews dependencies
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- Suggests security improvements
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## Workflows
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### Issue Triage Workflow
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1. Scan all open issues
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2. Categorize by type and priority
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3. Apply appropriate labels
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4. Suggest assignees
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5. Link related issues
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### PR Enhancement Workflow
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1. Analyze PR changes
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2. Suggest missing tests
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3. Improve documentation
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4. Format code consistently
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5. Add helpful comments
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### Repository Health Check
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1. Analyze code quality metrics
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2. Review dependency status
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3. Check test coverage
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4. Assess documentation completeness
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5. Generate health report
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## Integration with Claude Code
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Use in Claude Code with MCP tools:
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```javascript
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mcp__claude-flow__github_swarm {
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repository: "owner/repo",
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agents: 6,
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focus: "maintenance"
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}
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```
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## See Also
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- `repo analyze` - Deep repository analysis
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- `pr enhance` - Enhance pull requests
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- `issue triage` - Intelligent issue management
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- `code review` - Automated reviews
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