Skip to content
TrustedSkillsbeta
Back to all skills

Ai Agents Architect

Checked
hainamchung·vlatest·agents·MIT

Designs and optimizes complex multi-agent systems using advanced reinforcement learning and emergent behavior strategies.

Repository

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 hainamchung/agent-assistant --skill ai-agents-architect -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

hainamchung

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 hainamchung/agent-assistant at 89cb983bb4.

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

Commit
89cb983bb4
Manifest
skills/ai-agents-architect/SKILL.md
Scanned
1 file, 91 lines
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

The hainamchung-ai-agents-architect skill helps you design and build AI agents. It provides a structured approach to agent creation, enabling users to define roles, responsibilities, and interactions between different components of an AI system. This facilitates the development of more complex and effective AI solutions by breaking down tasks into manageable modules.

When to use it

  • Complex Task Automation: When automating workflows that require multiple steps or involve diverse data sources.
  • Multi-Agent Systems: For building systems where several AI agents collaborate to achieve a common goal.
  • Agent Role Definition: To clearly define the purpose and responsibilities of individual AI agents within a larger system.
  • Workflow Optimization: To analyze and improve existing agent workflows, identifying bottlenecks and areas for enhancement.

Key capabilities

  • Agent role definition
  • Responsibility assignment
  • Interaction design between agents
  • Structured workflow creation

Example prompts

  • "Design an AI agent to handle customer support inquiries, including routing tickets and providing initial responses."
  • "Create a system with two agents: one for data extraction and another for report generation."
  • “Outline the responsibilities of an agent focused on social media monitoring.”

Tips & gotchas

The skill is most effective when you have a clear understanding of the overall task or problem you’re trying to solve. It's designed to structure your thinking, so having some initial ideas about the agents and their roles will lead to better results.