Worker Integration
Routes background worker tasks to specialized agents based on trigger patterns and learns from execution history to improve dispatch decisions. Each trigger like ultralearn or optimize maps to specific agents (researcher, coder, performance-analyzer) with fallback options and multi-phase pipelines. The system tracks quality scores, success rates, and latency across executions to refine agent selection over time. Stores results in structured memory keys and monitors agents against benchmark thresholds. Useful when you're running automated workflows and want intelligent routing instead of hardcoded assignments, though the real value comes after it accumulates enough feedback data to make meaningful performance comparisons.
- skills.sh installs
- 1.1K
- GitHub stars
- 81.4K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add ruvnet/ruflo --skill worker-integration --agent claude-codeInstalls into .claude/skills of the current project.
Files
Worker-Agent Integration Skill
Intelligent coordination between background workers and specialized agents.
Quick Start
# 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:
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- Repository
- github.com/ruvnet/ruflo
- Categories
- Backend & APIs, AI & Agent Building, Debugging
- First seen
- Jun 3, 2026
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