Parse YAML outlines and launch parallel AI agents for web research.
npx skills add https://github.com/Jamie-Cui/opt --skill research-deep-jamie-cui
Please help me install this Agent Skill. Skill: research-deep Source: https://github.com/Jamie-Cui/opt/tree/main/dotfiles/skills/research-deep Command: npx skills add https://github.com/Jamie-Cui/opt --skill research-deep-jamie-cui
This Skill automates in-depth research on multiple topics by leveraging independent AI agents, streamlining the information gathering process.
outline.yaml file, then letting the Skill handle the deep dive for each.Initiate deep research by running the research-deep skill with your outline file.
High-intent search queries and answers about installing and using this skill.
To automate web search research for multiple topics in parallel, you can define your items in a YAML outline file. The skill parses this outline and launches independent AI agents to perform web searches for each item concurrently, significantly reducing research time.
Yes, you can resume an interrupted automated data collection task. The skill tracks completed items from your YAML outline and automatically resumes the research workflow from the last point of interruption, preventing redundant web searches.
To validate structured JSON output from automated web searches, the skill includes built-in validation steps. It ensures the data collected by the AI agents conforms to the defined fields and required JSON structure before finalizing the results.
The best way to research multiple items defined in a YAML file is to use a deep research workflow. This approach parses your YAML outline to identify specific topics, then delegates the information gathering to independent AI agents for parallel processing.
Yes, you need a web search agent dependency to perform deep dive research. The skill relies on these independent AI agents to execute the actual web searches and gather information for each item listed in your YAML outline.
Your parallel research task runs in the background without output because the skill disables task output during execution. This allows multiple AI agents to perform web searches simultaneously without interrupting your active workflow.
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