Web interface for managing AI CLI agent configurations. Supports Claude Code, OpenAI Codex, and Gemini CLI. Enables operations teams to streamline AI agent setup and maintenance. Integrates with existing CLI workflows.
git clone https://github.com/icefort-ai/config.gitThe Config skill is a powerful web interface designed for managing AI CLI agent configurations, specifically for Claude Code, OpenAI Codex, and Gemini CLI. This skill simplifies the process of configuring AI agents, allowing users to easily adjust settings and parameters without delving into complex command-line interfaces. With an intermediate difficulty level, it can be implemented in just 30 minutes, making it accessible for those with a moderate understanding of AI tools and workflows. By utilizing the Config skill, developers and product managers can significantly enhance their workflow automation. Although specific time savings are currently unknown, the streamlined management of AI agent configurations can lead to increased efficiency in project setups and adjustments. This skill is particularly beneficial for teams looking to optimize their AI automation processes, as it reduces the overhead associated with manual configuration changes. Ideal users for the Config skill include developers working on AI projects, product managers overseeing AI product development, and AI practitioners who require a user-friendly interface for managing multiple AI agents. The skill is especially relevant for teams aiming to integrate AI-first workflows into their development processes, as it provides a centralized solution for configuration management. Practical use cases for the Config skill include setting up new AI projects where multiple configurations are required, adjusting existing agent parameters for improved performance, or quickly switching between different AI agents for testing purposes. With its intermediate complexity, users should have a foundational knowledge of AI tools and CLI environments to fully leverage the skill. By incorporating the Config skill into their workflows, teams can ensure that their AI automation efforts are efficient and effective.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/icefort-ai/configCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I need to configure a new AI agent for [COMPANY] in the [INDUSTRY] sector. The agent should process [DATA] and integrate with our existing [SYSTEM]. Provide a step-by-step configuration guide using the Config skill.
# AI Agent Configuration Guide for [COMPANY] ## Step 1: Access the Config Interface 1. Navigate to the Config web interface at `https://config.[COMPANY].com` 2. Log in using your operations team credentials ## Step 2: Create a New Agent 1. Click on 'New Agent' in the top-right corner 2. Select 'Claude Code' as the AI engine 3. Name the agent '[COMPANY] Data Processor' ## Step 3: Configure Agent Settings - **Data Source**: [DATA] - **Integration**: [SYSTEM] - **Processing Rate**: 1000 records/hour - **Error Handling**: Log and notify ## Step 4: Deploy the Agent 1. Click 'Save Configuration' 2. Select 'Deploy Now' 3. Confirm deployment The agent will be operational within 5 minutes. Monitor its performance in the 'Agent Status' dashboard.
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