Automating End-to-End PR Workflows with Claude Task Master

Automating End-to-End PR Workflows with Claude Task Master

Introduction

Developers spend a lot of time moving code from a local change to a merged pull request. The repetitive steps include creating a branch, writing code, running tests, committing, pushing, opening a PR, waiting for CI, fixing failures, addressing review comments, and finally merging. Claude Task Master (CLI claudetm) removes this friction by keeping Claude working until a goal is achieved. It follows a PR-based workflow, persists state across interruptions, and can run multiple isolated instances via profiles.

How It Works

The tool operates as a closed loop that moves through four stages: planning, working, PR lifecycle, and verification. In the planning stage it reads the repository, creates a task list, and defines success criteria. During the working stage it makes code changes, runs tests, commits, and pushes each change to a dedicated branch. The PR lifecycle stage opens a pull request, monitors CI, fixes failures, and addresses review comments. Finally, the verification stage runs final checks and marks the task as done. The loop repeats until the original goal is satisfied.

# Example command
claudetm start "Add user authentication with tests"

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The CLI will output progress messages for each stage, and the state is written to disk so a server restart does not lose work.

Setting Up

Claude Task Master requires Python 3.10 or newer, an authenticated Claude Code session (claude login), and the GitHub CLI (gh auth login). Installation can be done with uv, pip, or Docker.

uv tool install claude-task-master
# or
pip install claude-task-master

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After installation, authenticate with Claude and GitHub, then run the start command with a clear goal.

Using Profiles for Isolation

When a team runs multiple Claude subscriptions, profiles prevent credential clashes. A profile stores its own Claude Code configuration under ~/.claudetm/profiles/<name>/. You can select a profile with the --profile flag.

claudetm start "Implement caching layer" --profile oauth-team-a

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This enables parallel execution of independent tasks on the same machine.

Extending with the REST API and Webhooks

Claude Task Master exposes a REST API and a lightweight MCP server for programmatic control. A dashboard can POST a new task, poll its status, and receive webhook callbacks when the task advances. The webhook payload includes the current stage, any CI errors, and a link to the open pull request.

POST /tasks
Content-Type: application/json

{
  "goal": "Refactor payment module",
  "profile": "api-key-prod"
}

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The API makes it possible to embed the tool in CI pipelines, chat-ops bots, or custom monitoring dashboards.

Real-World Example

A team at a fintech startup used Claude Task Master to automate the rollout of a new authentication flow. They defined the goal as “Add user authentication with tests”. The CLI generated three pull requests: one for the model changes, one for the test suite, and one for documentation. CI failures on the test PR were automatically fixed by the tool, and review comments were addressed without human intervention. After the final verification step, the CLI auto-merged all three PRs, delivering the feature in under an hour of developer time.

Conclusion

Claude Task Master provides a hands-off, PR-centric automation layer for Claude Code. By persisting state, supporting multiple profiles, and offering a REST API, it fits into both small scripts and large engineering ecosystems. The open-source MIT-licensed project can be installed via PyPI or Docker, and the CLI works with either the Claude Code session or a direct Anthropic-compatible API endpoint. Developers looking to reduce the manual overhead of PR management should give it a try.

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