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Agent Builder

Checked
shareai-lab·vlatest·agents·MIT

Rapidly create custom AI agents with pre-built components and workflows using shareAI-Lab's agent-builder tool.

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 shareai-lab/learn-claude-code --skill agent-builder -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

shareai-lab

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

    Only contacts known or declared hosts: api.anthropic.com.

    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.

    Hosts contacted

    api.anthropic.commodel provider

  • 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 shareai-lab/learn-claude-code at 0dcafa2ae0.

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

Commit
0dcafa2ae0
Manifest
skills/agent-builder/SKILL.md
Scanned
6 files, 1,226 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 Agent Builder skill enables AI agents to rapidly perform tasks across various domains like customer service, research, operations, and creative work. It leverages a core principle of allowing the underlying language model to function as the agent itself, with code providing capabilities and context for action. The tool focuses on creating simple loops where the model acts or responds based on available capabilities and knowledge, rather than complex pre-defined workflows.

When to use it

  • Automating CRM queries, email management, or calendar tasks in a business setting.
  • Conducting research by searching databases, analyzing documents, and generating citations.
  • Managing operational processes like monitoring systems, handling tickets, and escalating issues.
  • Assisting with creative workflows such as asset generation, editing, and collaboration.
  • When you want to quickly prototype an AI agent without extensive coding or complex engineering.

Key capabilities

  • Capabilities: Atomic actions the agent can perform (search, read, create, send, query, modify). Start with 3-5 essential capabilities.
  • Knowledge: Domain expertise injected on-demand (policies, workflows, best practices, schemas).
  • Context Management: Maintaining conversation history to ensure coherent behavior while isolating noisy subtasks and truncating verbose outputs.
  • Progressive Complexity Levels: Ability to add planning features, subagents, or on-demand knowledge as needed.

Example prompts

  • "Agent Builder, search for recent customer reviews mentioning 'shipping delays'."
  • "Agent Builder, create a draft email summarizing the key findings from this research document."
  • "Agent Builder, query the CRM system to find all open support tickets assigned to John Smith."

Tips & gotchas

  • Start Simple: Begin with just 3-5 capabilities and add more only when necessary. Avoid over-engineering.
  • Trust the Model: Let the language model reason and act based on its understanding, rather than pre-specifying workflows.
  • Context is Precious: Be mindful of conversation history and manage context effectively to maintain clarity.