Monitors the progress and current state of active research tasks using unique run IDs.
The Parallel Research Status skill allows users to track the execution of complex research workflows directly within Claude Code. By interfacing with the Parallel CLI, it provides real-time updates and JSON-formatted metadata regarding specific run IDs, ensuring developers can monitor long-running tasks, identify completion states, or troubleshoot stalled research processes without leaving their terminal environment. This is essential for managing asynchronous web research and data collection tasks managed by the Parallel ecosystem.
Key Features
0138 GitHub stars
02Built-in setup verification alerts
03Run ID specific tracking
04Real-time research task monitoring
05Seamless integration with Parallel CLI
06JSON-formatted status output for easy parsing
Use Cases
01Checking the completion percentage of a background web research task
02Automating workflows that depend on the success of a specific research run
03Debugging failed research attempts by reviewing JSON status metadata
