Agent Resource Allocator
技能 已验证 活跃Agent skill for resource-allocator - invoke with $agent-resource-allocator
To enable intelligent and adaptive resource allocation, predictive scaling, and performance optimization for agent swarms, ensuring efficient and reliable operation.
功能
- Adaptive resource allocation
- ML-powered predictive scaling
- Circuit breaker and fault tolerance patterns
- Comprehensive performance profiling and optimization
- MCP integration for resource management
使用场景
- Optimize resource usage in large-scale agent swarms
- Proactively scale resources based on predicted workload
- Ensure system resilience through fault tolerance mechanisms
- Identify and resolve performance bottlenecks in agent operations
非目标
- Directly managing cloud infrastructure resources outside of agent swarm context
- Replacing core LLM providers or agent communication protocols
- Providing generic system monitoring unrelated to agent performance
安装
npx skills add ruvnet/ruflo通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Agent Mesh Coordinator
97Agent skill for mesh-coordinator - invoke with $agent-mesh-coordinator
Hive Mind Skill
95Byzantine fault-tolerant consensus and distributed coordination. Queen-led hierarchical swarm management with multiple consensus strategies. Use when: distributed coordination, fault-tolerant operations, multi-agent consensus, collective decision making. Skip when: single-agent tasks, simple operations, local-only work.
Swarm Orchestration
100Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
Circuit Breaker Pattern
100Implement circuit breaker logic for agentic tool calls — tracking tool health, transitioning between closed/open/half-open states, reducing task scope when tools fail, routing to alternatives via capability maps, and enforcing failure budgets to prevent error accumulation. Separates orchestration (deciding what to attempt) from execution (calling tools), following the expeditor pattern. Use when building agents that depend on multiple tools with varying reliability, designing fault-tolerant agentic workflows, recovering gracefully from tool outages mid-task, or hardening existing agents against cascading tool failures.
Validate Plugin
100Validate a Claude Code plugin structure, frontmatter, and MCP tool references
Horizon Track
100Track long-horizon objectives across multiple sessions with milestone checkpoints, progress persistence, and drift detection