Agentix — CEO Skill
0The Agentix CEO Skill allows users to manage a team of ephemeral AI workers. It is designed for those who want to orchestrate AI tasks through the Agentix platform.
000Updated 2mo ago
AI Management
Quick InstallView Source
$ npx skills add https://github.com/agentix-cloud/skills --skill agentix-ceoOverview
About This Skill
The Agentix CEO Skill enables users to build and manage a distributed team of AI workers directly from Claude Code. A CEO agent autonomously handles role creation, task assignment, worker spawning across up to 25 parallel instances, and Git automation including code review and PR merging. The skill follows a playbook system where operating policies are defined once and executed continuously, with the CEO monitoring progress and reacting to changes in a loop. This is ideal for teams automating multi-stage development workflows, coordinating specialized AI agents, or scaling complex projects that require parallel execution and continuous oversight without manual intervention.
How to Use
Install the skill using the provided npm command.
Use Cases
Orchestrate a team of AI workers for various tasks
Manage API calls efficiently
Set up SaaS or self-hosted environments
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/agentix-cloud/skills --skill agentix-ceoAlternative Install (Git Clone)
git clone https://github.com/agentix-cloud/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as an Agentix CEO Skill expert. I need to manage a team of ephemeral AI workers to [TASK: e.g., automate customer support for [COMPANY], process [DATA: e.g., 10,000 customer queries], or coordinate [INDUSTRY: e.g., healthcare appointment scheduling]. Outline the optimal workflow, assign roles to each AI worker, and ensure seamless task execution. Use the Agentix platform's capabilities to monitor progress and report results.
Example Output
### Agentix CEO Skill Workflow Report **Objective:** Automate customer support for *GreenLeaf Organics* by processing 5,000 pending customer queries. #### **Assigned AI Workers & Roles:** - **AI Worker 1 (Primary):** Query Classification Specialist - *Task:* Categorize incoming queries into "Order Status", "Product Info", "Returns", or "Feedback". - *Progress:* 3,200 queries classified (64%). - **AI Worker 2 (Secondary):** Response Generator - *Task:* Draft personalized responses for "Order Status" and "Product Info" queries using predefined templates. - *Progress:* 2,100 responses generated (42%). - **AI Worker 3 (Quality Control):** Review Specialist - *Task:* Verify response accuracy, tone, and adherence to brand guidelines. - *Progress:* 1,800 responses approved (36%). #### **Platform Monitoring:** - **Task Completion Rate:** 64% (3,200/5,000 queries processed). - **Error Rate:** 2% (minor misclassifications detected and corrected). - **Estimated Time to Completion:** 2.5 hours (with current worker efficiency). #### **Next Steps:** 1. Scale up AI Worker 2 to handle remaining "Product Info" queries. 2. Initiate a secondary batch of 2,000 queries for parallel processing. 3. Generate a final report with response metrics and customer satisfaction scores. *All workers are operating within Agentix’s ephemeral AI framework, ensuring scalability and cost-efficiency.*
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