Standardizes the task completion workflow for AI agents by enforcing build, commit, and rebase pipelines.
The Team Member skill provides a structured workflow for AI agents to process markdown-based task lists with professional rigor. It ensures repository consistency by mandating a specific completion pipeline that includes pre-commit checks, automated commit handling, and branch rebasing. By enforcing 'never leave uncommitted changes' policies and providing guidance on worktree usage, this skill minimizes merge conflicts and maintains a clean project state during collaborative development cycles.
Key Features
01Prevents idling with uncommitted changes to ensure work persistence
02Enforces a three-stage completion pipeline (Build, Commit, Rebase)
03Manages task tracking via markdown-based task lists
047 GitHub stars
05Automates git commit handling and pre-commit verification
06Provides specific guidance for git worktree management
Use Cases
01Ensuring all code changes pass local CI runners before being marked as complete
02Automating the lifecycle of a feature implementation from task pickup to final rebase
03Standardizing how multiple AI agents interact with a shared codebase and task list
