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Agent Orchestration Multi Agent Optimize

Checked
sickn33·vlatest·agents·MIT

Dynamically assigns tasks to multiple agents, optimizing workflow and resource allocation for complex objectives.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill agent-orchestration-multi-agent-optimize -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

sickn33

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned sickn33/antigravity-awesome-skills at 5a4cdd9df8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 240 lines
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill orchestrates multiple AI agents to optimize a given task or process. It leverages the strengths of different specialized agents, coordinating their actions and iteratively refining results for improved performance. The core functionality involves defining agent roles, assigning tasks, and managing communication between them to achieve complex goals.

When to use it

  • Complex Problem Solving: When a single AI agent struggles with a multifaceted problem requiring diverse expertise (e.g., market research involving sentiment analysis, competitor pricing, and trend forecasting).
  • Iterative Refinement: For tasks that benefit from repeated cycles of evaluation and improvement, such as generating marketing copy or designing product features.
  • Resource Optimization: When you need to distribute a large workload across multiple agents to accelerate completion time and improve efficiency.
  • Specialized Expertise Combination: To combine the unique capabilities of different agent types (e.g., a coding agent, a writing agent, and a testing agent) for software development.

Key capabilities

  • Multi-agent coordination
  • Agent role definition
  • Task assignment and distribution
  • Iterative refinement loops
  • Communication management between agents

Example prompts

  • "Orchestrate an agent to research competitor pricing strategies, then another to analyze customer sentiment, and finally synthesize a report with recommendations."
  • "Optimize this marketing copy by having one agent critique it for clarity, another for persuasiveness, and a third to check grammar and style."
  • "Develop a Python script. First have an agent write the code, then another test it, and a final agent refactor it for efficiency."

Tips & gotchas

The effectiveness of this skill depends on clearly defining roles and responsibilities for each agent involved. Ensure that agents possess sufficient expertise in their assigned areas to avoid suboptimal outcomes.