Agent Builder

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by shareai-lab · vlatest · Repository

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

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add agent-builder npx -- -y @trustedskills/agent-builder
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "agent-builder": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/agent-builder"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

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.

Tags

🛡️

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Details

Version
vlatest
License
Author
shareai-lab
Installs
78

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Passed automated security scans.