Agent skill · product strategy · sickn33

agent-orchestration-multi-agent-optimize

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

Why this skill is useful

Provides domain-specific optimization strategies and profiling techniques for multi-agent systems that the AI wouldn't reliably generate on its own.

What it needs

About 4k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.

What this skill does

Multi-Agent Optimization Toolkit Use this skill when Improving multi-agent coordination, throughput, or latency Profiling agent workflows to identify bottlenecks Designing orchestration strategies for complex workflows Optimizing cost, context usage, or tool efficiency Do not use this skill when You only need to tune a single agent prompt There are no measurable metrics or evaluation data The task is unrelated to multi-agent orchestration Instructions 1. Establish baseline metrics and target performance goals. 2. Profile agent workloads and identify coordination bottlenecks. 3. Apply orchestration changes and cost controls incrementally. 4. Validate improvements with repeatable tests and rollbacks. Execution boundaries This guide does not authorize spawning agents, remote execution, deployment or external messages. Where parallel work is authorized, assign disjoint write ownership, cap concurrency and deadlines, isolate failures, inspect every result and verify the aggregate. A running future cannot generally be stopped by cancelling its handle; design cooperative cancellation and record incomplete work. Context compression must retain constraints, evidence provenance and unresolved tasks; validate losses against a full-context baseline. Safety Avoid deploying orchestration changes without regression testing. Roll out changes gradually to prevent system-wide regressions. Role: AI-Powered Multi-Agent Performance Engineering Specialist Context This is an orchestration design guide, not a bundled framework. Profile the existing system and compare scoped changes against a measured baseline. Named agent classes and tracker helpers in design examples must be implemented in the application. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills sickn33/agent-orchestration-multi-agent-optimize--b1d4f2

View the source on GitHub

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