Use when the user has a vague research direction and wants to explore feasible specific topics. Outputs a structured analysis with candidate topics, innovation/feasibility scoring, and a pre-survey of 20–30 representative works. Single-stage, no Python runtime.
How to install research-explorer?
ai4s-research/ai4s-skills/research-explorer
$npx -y skills add ai4s-research/ai4s-skills --skill research-explorerInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ai4s-research/ai4s-skills" --skill "ai4s-research/ai4s-skills/research-explorer"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ai4s-research/ai4s-skills" that are relevant to the current task. Run `npx skills add "https://github.com/ai4s-research/ai4s-skills"` and select the relevant skills, then follow their instructions.
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