Agent Orchestration Multi Agent Optimize
This is a comprehensive framework for profiling and optimizing systems that use multiple AI agents working together. It tackles the real pain points: identifying bottlenecks across agent workflows, reducing unnecessary context window bloat, minimizing token costs through smart model selection, and coordinating parallel execution without agents stepping on each other. The source includes actual orchestration code for distributing work across database, application, and frontend performance agents. Best suited for teams already running multi-agent systems at scale where latency, throughput, or LLM costs have become measurable problems. If you're just tuning a single agent or haven't instrumented anything yet, this is overkill.
- skills.sh installs
- 760
- GitHub stars
- 43.1K
- last updated
- Jul 14, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill agent-orchestration-multi-agent-optimize --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
- Establish baseline metrics and target performance goals.
- Profile agent workloads and identify coordination bottlenecks.
- Apply orchestration changes and cost controls incrementally.
- Validate improvements with repeatable tests and rollbacks.
Execution boundaries
Sponsors
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- Repository
- github.com/sickn33/antigravity-awesome-skills
- Categories
- AI & Agent Building, Automation & Workflows
- First seen
- May 16, 2026
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