How do I verify my new review configuration is working?

The skill guides you through making a temporary code change, calling the review instruction tool to verify your rule is triggered, and then reverting the change.

Can I use existing rules as templates?

Yes, the skill is designed to analyze existing .deepreview files and README documentation to ensure new rules are consistent with your project's current standards.

Why does the skill suggest combining multiple rules?

Each rule spawns a separate AI sub-agent which incurs overhead. Combining rules with similar file sets reduces API round-trips and resource usage without degrading review quality.

What is a .deepreview file?

It is a YAML configuration file used by the DeepWork system to define automated review rules, glob patterns, and specific instructions for AI sub-agents to follow.

Where should I place review configuration files?

Place .deepreview files in the project root for broad, global rules, or within specific subdirectories to apply rules only to the files in those folders.

Automated Code Review Configurator

Name: Automated Code Review Configurator
Author: Unsupervisedcom

byUnsupervisedcom

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Collaboration Tools

Configures automated code review rules using YAML configuration files to streamline project quality assurance.

The Automated Code Review Configurator skill enables developers to set up and manage sophisticated code review rules within their projects using the DeepWork system. By leveraging .deepreview YAML files, it allows for the definition of project-wide or scoped review criteria, ensures consistent adherence to coding standards, and optimizes performance by consolidating reviewer sub-agents. This skill automates the entire setup process, from interpreting existing patterns and documentation to verifying the impact of new rules through a built-in testing workflow.

Key Features

0135 GitHub stars

02Intelligent scoping of review rules at project or directory levels

03Resource optimization through rule consolidation to minimize API overhead

04Automated .deepreview YAML configuration generation and updates

05Integration with DeepWork sub-agent review architecture

06Built-in verification workflow to test rule triggers and outputs

Use Cases

01Establishing project-wide linting and best-practice enforcement

02Refactoring inline review instructions into reusable configuration files

03Creating specialized review rules for sensitive or complex subdirectories

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add unsupervisedcom/deepwork configure_reviews

For use in Claude.ai and ChatGPT

Download Skill