coworker
NewCoworker is the open source Al coworker that lives on your desktop
Summary
Coworker is an open-source AI assistant that lives on your desktop, providing always-available help with coding, debugging, and system tasks.
- It integrates directly into your workflow, offering contextual assistance without leaving your development environment.
Install & Usage
mkdir -p .claude/skillsAdd the configuration to .claude/skills/coworker.md
/coworkerUse Cases
Usage Examples
/coworker debug this test failure: 'Expected 5 but got 3' in test_user_login.py
/coworker generate a Flask endpoint for user registration with email and password
/coworker refactor this function to be more readable: [paste code]
Security Audits
Frequently Asked Questions
What is coworker?
Coworker is an open-source AI assistant that lives on your desktop, providing always-available help with coding, debugging, and system tasks. It integrates directly into your workflow, offering contextual assistance without leaving your development environment.
How to install coworker?
To install coworker: create the skills directory (mkdir -p .claude/skills), then add the config to .claude/skills/coworker.md. Finally, /coworker in Claude Code.
What is coworker best for?
coworker is a community categorized under General. Created by accomplish-ai.
What can I use coworker for?
coworker is useful for: Quickly debug a failing test by asking Coworker to analyze the error log and suggest fixes.; Generate boilerplate code for a new REST API endpoint with input validation and error handling.; Refactor a complex function into smaller, more maintainable pieces with Coworker's guidance.; Explain a cryptic error message from a compiler or runtime and propose a solution.; Automate repetitive file operations like renaming, moving, or batch processing files in a directory.; Review a pull request summary and get suggestions for improvements or potential issues..