CC Agents

Create and manage custom AI agents with specialized behaviors and secure execution environments.

Overview

CC Agents allow you to create specialized AI assistants with custom system prompts, behaviors, and security profiles. Build a library of purpose-built agents for different development tasks and execute them in secure, sandboxed environments.

Custom AI Agents

Design and configure AI agents tailored to specific tasks and workflows:

  • Custom System Prompts: Define how your agent behaves and responds
  • Specialized Behaviors: Create agents for specific domains (frontend, backend, testing, etc.)
  • Model Selection: Choose the appropriate Claude model for each agent
  • Personality Configuration: Set tone, style, and interaction patterns

Agent Configuration

Each agent can be customized with:

  • Name & Icon: Visual identification for easy recognition
  • System Prompt: Core instructions that define the agent's behavior
  • Model Settings: Choose between available Claude models (Claude-3.5-Sonnet, Claude-3-Haiku, etc.)
  • Sandbox Profile: Security restrictions and permissions
  • Execution Parameters: Timeout settings, resource limits, and performance options

Agent Library

Build and maintain a collection of specialized agents for different development scenarios:

  • Categorized Organization: Group agents by purpose (Web Dev, Data Analysis, DevOps, etc.)
  • Version Management: Track different versions of your agents
  • Import/Export: Share agents with team members or across systems
  • Templates: Start with pre-built agent templates for common use cases

Pre-built Agent Templates

  • Full-Stack Developer: General web development assistance
  • Code Reviewer: Focused on code quality and best practices
  • Bug Hunter: Specialized in finding and fixing issues
  • Documentation Writer: Expert at creating clear documentation
  • Performance Optimizer: Focused on code and system performance
  • Security Auditor: Specialized in security analysis and recommendations

Secure Execution

Run agents in controlled environments with comprehensive security measures:

  • Sandboxed Environments: Isolated execution prevents system interference
  • Fine-grained Permissions: Control exactly what each agent can access
  • Resource Limits: Set CPU, memory, and time constraints
  • Network Isolation: Control internet and network access per agent

Security Features

  • Permission Profiles: Reusable security configurations
  • Access Control Lists: Define what files, directories, and commands agents can use
  • Execution Monitoring: Real-time tracking of agent activities
  • Violation Detection: Immediate alerts when agents exceed permissions

Execution History

Track and analyze all agent runs with detailed logging and performance metrics:

  • Detailed Logs: Complete record of agent actions and decisions
  • Performance Metrics: Execution time, resource usage, and efficiency data
  • Success/Failure Tracking: Monitor agent effectiveness over time
  • Output Analysis: Review agent results and recommendations

History Features

  • Session Recordings: Complete transcripts of agent interactions
  • Performance Analytics: Charts and metrics showing agent performance trends
  • Error Tracking: Detailed logs of failures and their causes
  • Comparison Tools: Compare different agent runs and configurations

Creating Your First Agent

Step-by-Step Guide

  1. Navigate to CC Agents: Choose "CC Agents" from the main menu
  2. Create New Agent: Click "Create Agent" button
  3. Configure Agent: Set name, icon, and system prompt
  4. Choose Model: Select the appropriate Claude model
  5. Set Security Profile: Apply sandbox restrictions
  6. Test & Execute: Run your agent on a project

Example Agent Creation

Agent Name: "React Component Builder"
Icon: ⚛️
System Prompt: "You are a React expert specializing in creating 
reusable, accessible components following modern best practices..."
Model: Claude-3.5-Sonnet
Sandbox: Frontend Development Profile

Agent Execution Workflow

Running an Agent

  1. Select Agent: Choose from your agent library
  2. Choose Target: Select the project to work on
  3. Set Parameters: Configure execution settings
  4. Monitor Progress: Watch real-time execution
  5. Review Results: Analyze output and recommendations

Execution Modes

  • Interactive Mode: Collaborate with the agent in real-time
  • Batch Mode: Let the agent work independently
  • Supervised Mode: Approve each action before execution
  • Analysis Mode: Agent reviews and reports without making changes

Best Practices

Agent Design

  • Single Purpose: Create focused agents for specific tasks
  • Clear Instructions: Write detailed, unambiguous system prompts
  • Appropriate Models: Match model capabilities to agent requirements
  • Security First: Always use the minimum necessary permissions

Library Management

  • Consistent Naming: Use clear, descriptive names for agents
  • Regular Updates: Keep agent prompts current with best practices
  • Version Control: Track changes to agent configurations
  • Documentation: Document each agent's purpose and usage

Security Guidelines

  • Principle of Least Privilege: Grant only necessary permissions
  • Regular Audits: Review agent permissions periodically
  • Sandbox Testing: Test new agents in restricted environments first
  • Monitor Activity: Keep track of what agents are doing

Advanced Features

Agent Chaining

Link multiple agents together for complex workflows:

  • Sequential Execution: Run agents in a specific order
  • Conditional Logic: Execute agents based on previous results
  • Parallel Processing: Run multiple agents simultaneously
  • Result Aggregation: Combine outputs from multiple agents

Custom Integrations

Extend agent capabilities with custom tools and integrations:

  • API Connections: Connect agents to external services
  • Custom Tools: Add specialized functionality
  • Webhook Support: Trigger agents from external events
  • Database Integration: Connect to data sources

Troubleshooting

Common Issues

Agent Won't Execute

  • Check sandbox permissions
  • Verify model availability
  • Review system prompt syntax
  • Check resource limits

Poor Agent Performance

  • Refine system prompt
  • Adjust model selection
  • Optimize execution parameters
  • Review historical performance data

Security Violations

  • Review permission settings
  • Check sandbox configuration
  • Audit agent behavior logs
  • Adjust security profile

Ready to learn about security? Check out our Advanced Sandboxing documentation for detailed security configuration.