Generates research frameworks and outlines from a topic input.
npx skills add https://github.com/Hayao0819/dotfiles --skill research-hayao0819
Please help me install this Agent Skill. Skill: research Source: https://github.com/Hayao0819/dotfiles/tree/main/modules/home-manager/llm/skills/research Command: npx skills add https://github.com/Hayao0819/dotfiles --skill research-hayao0819
Researchers often spend excessive time planning and structuring literature reviews. This skill rapidly generates a structured research outline from a topic, reducing setup time and ensuring a repeatable workflow.
Provide a topic to begin, and the system will generate an initial research outline and prompt you to refine items.
High-intent search queries and answers about installing and using this skill.
To generate a structured research outline, provide a topic and the system creates an initial framework from model knowledge, then augments it with time-bounded web search items validated through interactive prompts.
The best way to plan a literature review framework is using automated topic analysis to generate initial outlines and field definitions, reducing excessive planning time and ensuring a repeatable research workflow.
Yes, you can refine web-sourced research items within a user-specified time range by responding to interactive confirmation prompts that validate augmented framework entries before final output.
You can output structured YAML files by processing your validated topic framework, which delivers execution configurations, field definitions, and items ready for outline.yaml and fields.yaml.
No, research framework generation requires no external dependencies, relying entirely on internal model knowledge for the initial outline and integrated web search for subsequent item augmentation.
Use automated topic analysis when you need to rapidly reduce setup time and ensure a repeatable workflow, especially when planning and structuring extensive literature reviews from a broad topic.
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