Ai Agents Architect
CheckedDesigns and optimizes multi-agent systems, defining roles, communication protocols, and workflows for complex tasks.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add sickn33/agentic-awesome-skills --skill ai-agents-architect -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
sickn33
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
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.
- Commit
- 5a4cdd9df8
- Scanned
- 1 file, 341 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
The ai-agents-architect skill enables users to design, configure, and manage AI agent systems. It provides tools for structuring agent workflows, defining roles, and integrating with external services or APIs.
When to use it
- When setting up a multi-agent system for complex tasks like customer support or data analysis.
- To define the architecture of an AI agent before deployment.
- When you need to customize how agents communicate or share information.
- For managing dependencies between different AI components in a project.
Key capabilities
- Agent workflow design and configuration
- Role definition for multiple agents
- Integration with external APIs and services
- Dependency management between agents
Example prompts
- "Design an agent system for handling customer support tickets."
- "Configure an AI agent to fetch data from a public API."
- "Set up communication protocols between two agents in the same workflow."
Tips & gotchas
- Ensure all external APIs used are properly authenticated and secured.
- Start with simple configurations before scaling to complex multi-agent systems.