worker-integration
SolidWorker-Agent integration for intelligent task dispatch and performance tracking
AI & Automation 59,062 stars
6797 forks Updated today MIT
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Skill Content
# Worker-Agent Integration Skill
Intelligent coordination between background workers and specialized agents.
## Quick Start
```bash
# View agent recommendations for a trigger
npx agentic-flow workers agents ultralearn
npx agentic-flow workers agents optimize
# View performance metrics
npx agentic-flow workers metrics
# View integration stats
npx agentic-flow workers stats --integration
```
## Agent Mappings
Workers automatically dispatch to optimal agents based on trigger type:
| Trigger | Primary Agents | Fallback | Pipeline Phases |
|---------|---------------|----------|-----------------|
| `ultralearn` | researcher, coder | planner | discovery → patterns → vectorization → summary |
| `optimize` | performance-analyzer, coder | researcher | static-analysis → performance → patterns |
| `audit` | security-analyst, tester | reviewer | security → secrets → vulnerability-scan |
| `benchmark` | performance-analyzer | coder, tester | performance → metrics → report |
| `testgaps` | tester | coder | discovery → coverage → gaps |
| `document` | documenter, researcher | coder | api-discovery → patterns → indexing |
| `deepdive` | researcher, security-analyst | coder | call-graph → deps → trace |
| `refactor` | coder, reviewer | researcher | complexity → smells → patterns |
## Performance-Based Selection
The system learns from execution history to improve agent selection:
```typescript
// Agent selection considers:
// 1. Quality score (0-1)
// 2. Success rate
// 3. Average la...
Details
- Author
- ruvnet
- Repository
- ruvnet/ruflo
- Created
- 1 years ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
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