The receiving-code-review skill streamlines the code review process by automating feedback collection and response management. This enhances collaboration among developers, saving time and improving code quality.
git clone https://github.com/obra/superpowers.gitThe receiving-code-review skill is designed to optimize the code review process by automating the collection of feedback and managing responses efficiently. This skill integrates seamlessly into your existing workflow, allowing developers to focus on writing quality code while ensuring that all necessary feedback is gathered and addressed promptly. By automating these tasks, teams can reduce the time spent on manual reviews, leading to faster development cycles. One of the key benefits of using the receiving-code-review skill is its ability to enhance collaboration among team members. With automated notifications and organized feedback channels, developers can easily track comments and suggestions from peers. This not only saves time but also ensures that no critical feedback is overlooked. The skill's straightforward setup allows teams to implement it quickly, making it an ideal choice for projects with tight deadlines. This skill is particularly beneficial for developers, product managers, and AI practitioners who are looking to improve their workflow automation. It can be used in various scenarios, such as when onboarding new team members who need to familiarize themselves with the codebase or during sprint reviews where multiple code changes are evaluated. For instance, a team working on a large-scale application can use this skill to streamline their code review process, ensuring that all changes are reviewed efficiently before deployment. In terms of implementation, the receiving-code-review skill is user-friendly and requires minimal setup, making it accessible even for teams with limited experience in automation. By incorporating this skill into an AI-first workflow, teams can leverage AI automation to enhance productivity and maintain high code quality, ultimately leading to better software products and reduced time to market.
Automating the collection of code review feedback to save time for developers.
Facilitating real-time collaboration among remote development teams during code reviews.
Streamlining the onboarding process for new developers by providing structured feedback.
Enhancing the efficiency of sprint reviews by organizing and managing feedback effectively.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/obra/superpowersCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Automate the code review process for the project [PROJECT_NAME]. Collect feedback from the reviewers [REVIEWER_NAMES] and summarize their comments. Additionally, generate a response plan for addressing each piece of feedback, including specific actions to be taken by the developer [DEVELOPER_NAME].
For the project 'WeatherApp', the following feedback was collected from reviewers Alice, Bob, and Charlie: 1. Alice suggested optimizing the API calls in the 'getWeatherData' function to reduce latency. 2. Bob pointed out that the error handling in the 'fetchForecast' method could be improved for better user experience. 3. Charlie recommended adding unit tests for the new feature implemented in 'WeatherDisplay'. Response Plan: 1. Optimize API calls in 'getWeatherData' by implementing caching and reducing unnecessary requests. 2. Revise error handling in 'fetchForecast' to include user-friendly messages and fallback options. 3. Develop unit tests for 'WeatherDisplay' to ensure functionality and reliability. The developer, John, is to complete these actions by the end of the week.
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