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Introducing the oflow tool, which can monitor Issues in GitHub projects, automatically trigger Claude Code sessions to implement tasks, and submit Pull Requests automatically
Section 01
Introducing the oflow tool, which can monitor Issues in GitHub projects, automatically trigger Claude Code sessions to implement tasks, and submit Pull Requests automatically
Section 02
oflow is a workflow automation layer that connects GitHub Issue boards with AI programming agents. It monitors Issues marked as oflow-ready in your GitHub project, generates a Claude Code session for each task, uses configurable skill workflows to implement the task, and automatically opens a Pull Request when the work is done.
This automation model represents a new development paradigm: shifting from "humans driving Issues to code" to "Issues automatically driving AI agents to complete code."
Section 03
oflow is designed to achieve end-to-end automation of development workflows:
Section 04
The oflow daemon periodically polls GitHub repositories for Issues marked as oflow-ready. Once a new task is found, it immediately enters the processing flow.
Section 05
The system generates an independent Claude Code session for each pending Issue, ensuring isolation and concurrent processing capabilities between tasks.
Section 06
Through the skill workflow mechanism, you can define the processing steps and rules for tasks. The default uses dev-workflow, but it can be customized according to project needs.
Section 07
When the Claude Code session completes the task, oflow automatically applies the oflow-done label and optionally submits a Pull Request automatically.
Section 08
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