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Agent Backend Patterns

Checked
dokhacgiakhoa·vlatest·agents

Helps with backend development, patterns as part of orchestrating AI agents and multi-step workflows workflows.

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 dokhacgiakhoa/agent-skills-4-vibe-coding-cli --skill agent-backend-patterns -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

dokhacgiakhoa

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 dokhacgiakhoa/antigravity-ide at c4a059bbf7.

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

Commit
c4a059bbf7
Manifest
.agent/skills/agent-backend-patterns/SKILL.md
Scanned
3 files, 78 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 provides reusable patterns for structuring and managing the backend logic of AI agents. It helps developers create more robust, maintainable, and scalable agent systems by offering pre-built components and architectural approaches. The skill focuses on common challenges like state management, tool integration, and error handling within an agent's execution flow.

When to use it

  • Building complex agents: When your agent requires multiple tools or intricate decision-making processes.
  • Managing agent state: For agents that need to remember information across interactions or tasks.
  • Creating reusable agent components: To avoid repetitive coding and promote consistency in different agent projects.
  • Improving agent reliability: Implementing robust error handling and recovery mechanisms for production deployments.

Key capabilities

  • Reusable backend patterns
  • State management solutions
  • Tool integration frameworks
  • Error handling and recovery mechanisms
  • Architectural guidance for agent design

Example prompts

  • "Show me a pattern for managing long-term memory in an agent."
  • "How can I structure my agent to handle API rate limits gracefully?"
  • "Provide an example of a robust error handling strategy for tool failures."

Tips & gotchas

This skill assumes some familiarity with AI agent concepts and programming. While it provides patterns, adapting them to specific use cases may require additional development effort.