cyberdart

Automate AI-assisted development workflows with structured roles and Playwright.

Updated Jun 4, 2026
One-click install
npx skills add https://github.com/Manzueti/cyberdart --skill cyberdart
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cyberdart
Source: https://github.com/Manzueti/cyberdart/tree/main
Command: npx skills add https://github.com/Manzueti/cyberdart --skill cyberdart

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Cyberdart streamlines AI-assisted software development by assigning structured roles to AI agents, enabling efficient collaboration and automation of various development tasks.

Core Features & Use Cases

  • Structured Roles: Assign specialized roles to AI agents (e.g., CEO reviewer, engineer, designer) for seamless workflow management.
  • Headless Browser: Real Chromium browser via Playwright for quick command execution and automated testing.
  • Automated Tasks: Automate repetitive tasks such as code review, debugging, and deployment.
  • Use Case: With Cyberdart, you can automate the process of code review, test execution, and deployment, significantly reducing the time and effort required for these tasks.

Quick Start

Use the cyberdart skill to run a full development workflow: /office-hours, /plan-ceo-review, /plan-eng-review, /plan-design-review, /autoplan, /review, /investigate, /qa, /ship, /land-and-deploy.

Frequently Asked Questions about cyberdart

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate AI-assisted software development workflows for code review and deployment?

AI-assisted software development workflows are automated by assigning structured roles to AI agents, enabling efficient collaboration across repetitive tasks like code review, debugging, and deployment. This requires integrating AI agents with task automation frameworks.

How does a headless browser help with automated testing in software development workflows?

A headless browser provides a real Chromium environment via Playwright to execute commands quickly and run automated testing without a graphical interface. This enables reliable end-to-end validation during automated software development workflows.

Do I need AI agent integration to automate code review and deployment tasks?

AI agent integration is required to automate code review and deployment tasks. The workflow assigns specialized roles like CEO reviewer, engineer, and designer to these agents, structuring their collaboration to handle the full development cycle.

What is the best way to structure AI agent roles for software development cycles?

The best way to structure AI agent roles for software development cycles is assigning specialized functions like CEO reviewer, engineer, and designer. This role-based structure enables seamless workflow management and efficient task automation across planning, review, and deployment.

Can I run a full development cycle from planning to deployment using task automation frameworks?

Yes, you can run a full development cycle using task automation frameworks by executing structured commands like planning, review, investigation, QA, and deployment. This automates the process from initial CEO review through shipping and landing the final code.

What limitations should I expect when using a headless browser for automated testing?

When using a headless browser for automated testing, limitations include the requirement for task automation frameworks and AI agent integration to execute workflows. Without these dependencies properly configured, the automated testing and deployment commands cannot run.