Imagine a future where your code repositories are continuously improved without manual intervention—where issues are automatically triaged, CI failures are diagnosed, documentation stays up to date, test coverage increases, and compliance is monitored—all driven by intelligent automation. GitHub Agentic Workflows bring this vision to life by enabling automated repository agents that run securely within GitHub Actions, built on a foundation of security-first principles. These workflows operate with read-only access by default, ensuring that AI agents cannot make changes without explicit permission. Any write operations require approval through sanitized, pre-approved actions—safe outputs that are vetted and constrained by a strict set of rules. Execution happens in isolated environments with tool allowlisting, sandboxing, and network restrictions, ensuring that AI agents stay within defined boundaries and pose no risk to your codebase. The process is simple and intuitive. First, write a specification in a plain markdown file using natural language to define what you want automated. Then, compile it using the gh aw compile command, which transforms your instructions into a secure GitHub Actions workflow file (.lock.yml). Finally, the workflow runs automatically based on your defined triggers—whether scheduled, event-driven, or manual. For example, you can create a daily workflow that generates a positive, insightful status report by analyzing open issues, code quality metrics, and recent activity. The GitHub CLI translates your natural language instructions into a fully functional workflow that runs an AI agent—such as Copilot, Claude, or Codex—inside a containerized environment. This agent processes your repository’s context, identifies trends, generates visualizations, and produces clear, actionable reports—all without writing a single line of complex code. Getting started is fast. Install the GitHub CLI extension, create a sample workflow in markdown, and run your first agent in minutes—all from the command line. You can also build custom workflows directly from the GitHub web interface using natural language prompts, making automation accessible to developers of all skill levels. With GitHub Agentic Workflows, you can automate a wide range of tasks: daily code simplification and refactoring, consistent style improvements, continuous documentation updates, intelligent issue triage and labeling, project coordination, and cross-repository feature synchronization. Use slash commands for instant on-demand analysis, monitor CI failures with root cause insights, improve test coverage, and ensure compliance with security policies. These workflows support ongoing development operations, research tasks, and routine maintenance—helping teams stay proactive, reduce technical debt, and focus on innovation. By turning natural language into powerful automation, GitHub Agentic Workflows are redefining how developers interact with their repositories, making intelligent, secure, and scalable maintenance a reality.