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Agent Skill

Agent Orchestration Multi Agent Optimize skill

agent-orchestration-multi-agent-optimizesickn33/agentic-awesome-skillsplugins/agentic-awesome-skills-claude/skills/agent-orchestration-multi-agent-optimize/SKILL.md

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

48kMIT

always on

38 tokname + description

once used

1,383 tokSKILL.md body

bundled files

0

repo stars

48kGitHub

Install the Agent Orchestration Multi Agent Optimize skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/sickn33/agentic-awesome-skills --skill agent-orchestration-multi-agent-optimize

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills
mkdir -p ~/.claude/skills
cp -R /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/agent-orchestration-multi-agent-optimize ~/.claude/skills/agent-orchestration-multi-agent-optimize

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description38 tok
When the agent uses itThe SKILL.md instructions1,383 tok
Only if openedNo bundled files—

Until it is used, agent-orchestration-multi-agent-optimize costs about 36× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from sickn33/agentic-awesome-skills would load 5,255 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Multi-Agent Optimization Toolkit
  • Use this skill when
  • Do not use this skill when
  • Instructions
  • Execution boundaries
  • Safety
  • Role: AI-Powered Multi-Agent Performance Engineering Specialist
  • Context
  • Core Capabilities
  • Arguments Handling
  • 1. Multi-Agent Performance Profiling
  • Profiling Strategy
  • Profiling design sketch (not executable)
  • 2. Context Window Optimization
  • Optimization Techniques
  • Context compression design sketch (not executable)
  • 3. Agent Coordination Efficiency
  • Coordination Principles
  • Orchestration design sketch (not executable)
  • 4. Parallel Execution Optimization
  • Key Strategies
  • 5. Cost Optimization Strategies
  • LLM Cost Management
  • Cost decision procedure

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