template-repo

🥈Silver

Template for agent orchestration and security. Enables agent2agent workflows, mechanistic interpretability, and integration via DLL injection and CLI wrappers. Benefits operations teams managing AI agents.

110250Updated Today

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/AndrewAltimit/template-repo.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/AndrewAltimit/template-repo

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Create a template repository for a company named [COMPANY] in the [INDUSTRY] industry. The repository should include agent orchestration and security features such as MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via DLL injection and CLI wrappers. Provide detailed documentation and example code snippets for each feature.

Example Output

## Template Repository for [COMPANY] in the [INDUSTRY] Industry

### Agent Orchestration and Security Features

#### MCP Tool Building
- **Description**: MCP (Multi-Agent Control Plane) tools enable centralized management and coordination of multiple AI agents.
- **Example Code**:
  ```python
  def build_mcp_tool(agent_list):
      # Initialize MCP tool
      mcp = MCPTool()
      # Add agents to MCP
      for agent in agent_list:
          mcp.add_agent(agent)
      return mcp
  ```

#### Agent2Agent Workflows
- **Description**: Facilitate communication and task delegation between agents.
- **Example Code**:
  ```python
  def agent2agent_workflow(agent1, agent2, task):
      # Agent1 delegates task to Agent2
      agent1.delegate_task(agent2, task)
      # Agent2 executes task
      result = agent2.execute_task(task)
      return result
  ```

#### Mechanistic Interpretability on Sleeper Agents
- **Description**: Monitor and interpret the behavior of sleeper agents to ensure security.
- **Example Code**:
  ```python
  def monitor_sleeper_agent(agent):
      # Monitor agent behavior
      behavior = agent.get_behavior()
      # Analyze behavior for anomalies
      if behavior.is_anomalous():
          alert_security_team()
  ```

#### Agent Integration via DLL Injection and CLI Wrappers
- **Description**: Integrate agents into existing systems using DLL injection and CLI wrappers.
- **Example Code**:
  ```python
  def integrate_agent_via_dll(agent, dll_path):
      # Inject agent into DLL
      dll_injector = DLLInjector(dll_path)
      dll_injector.inject(agent)
  ```

### Documentation
- **Installation**: Provide step-by-step instructions for setting up the repository.
- **Usage**: Detailed examples of how to use each feature.
- **Security**: Best practices for securing the agent orchestration system.