This is a swarm orchestration layer that automatically switches between coordination patterns (hierarchical, mesh, ring, hybrid) based on real-time workload analysis. You'd use it when you need Claude to dynamically adapt how multiple agents coordinate rather than locking into a single topology. The hooks show it analyzes task characteristics like complexity and parallelizability, then picks or switches topologies mid-flight using performance metrics and ML predictions. It's ambitious in scope with neural pattern training and predictive scaling, though the actual switching logic relies heavily on threshold-based heuristics. Best suited for complex multi-agent workflows where coordination overhead meaningfully impacts performance and you want the system to self-optimize rather than manually tuning topology per task type.
npx -y skills add ruvnet/ruflo --skill agent-adaptive-coordinator --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot