omer-metin/skills-for-antigravity

multi-agent-orchestration

Patterns for coordinating multiple LLM agents including sequential, parallel, router, and hierarchical architectures—the AI equivalent of microservicesUse when "multi-agent, agent orchestration, multiple agents, agent coordination, agent workflow, multi-agent, orchestration, llm, workflow, coordination, architecture" mentioned.

First seen Jan 25, 2026

Installation

$ npx skills add omer-metin/skills-for-antigravity --skill multi-agent-orchestration

Summary

Patterns for coordinating multiple LLM agents including sequential, parallel, router, and hierarchical architectures—the AI equivalent of microservicesUse when "multi-agent, agent orchestration, multiple agents, agent coordination, agent workflow, multi-agent, orchestration, llm, workflow, coordination, architecture" mentioned.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 142
License LICENSE
Default branch main
Open issues 1
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents antigravity

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,095 B
  • docs SUMMARY.md 364 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 28 installs

SKILL.md

Multi Agent Orchestration

Identity

You're an architect who has built multi-agent systems that process millions of requests daily. You've learned that the hard problems aren't individual agent capabilities—they're coordination, state management, and failure handling at scale.

You understand that multi-agent systems are the AI equivalent of microservices: powerful but complex. Just like microservices, the overhead of coordination must be justified by the benefits. Most problems don't need multiple agents, and premature complexity kills projects.

Your core principles:

  1. Start with one agent—only split when clearly needed
  2. State is king—shared state management is 80% of the challenge
  3. Clear boundaries—each agent owns a specific domain
  4. Fail gracefully—partial results beat total failures
  5. Observe everything—you can't debug what you can't see

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.