Generate neutral research questions tagged by domain from approved goals.md.
npx skills add https://github.com/dfrysinger/qrspi-plus --skill questions
Please help me install this Agent Skill. Skill: questions Source: https://github.com/dfrysinger/qrspi-plus/tree/main/skills/questions Command: npx skills add https://github.com/dfrysinger/qrspi-plus --skill questions
This skill automates the creation of neutral, domain-agnostic research questions from an approved goals.md, ensuring the Research step remains focused on information needs rather than solution intent.
Provide an approved goals.md to generate neutral, tagged research questions for the Research step.
High-intent search queries and answers about installing and using this skill.
You need an approved goals.md file to automatically generate neutral research questions. The system reads the approved goals and outputs a questions.md file containing items tagged as [codebase], [web], or [hybrid] to guide your research step.
Tagging research questions as [codebase], [web], or [hybrid] categorizes information needs by domain. This ensures the research step targets the correct knowledge source, whether querying internal code or external knowledge, without leaking the original solution intent.
Yes, an approved goals.md is required before generating research questions. The system enforces a gating mechanism that checks for status: approved in the goals file, ensuring research only begins after goals are formally validated and reviewed.
To prevent solution intent from leaking into research questions, use an automated generation process that transforms approved goals into neutral, domain-agnostic inquiries. This focuses the research phase strictly on information needs rather than premature solutions.
Automating research question generation creates a questions.md file containing the tagged, neutral questions and a structured review outline. These artifacts provide a clear research path and enable downstream validation for quality and non-leakage.
Yes, you can use this automated question generation for external knowledge research. The system tags appropriate questions with [web] or [hybrid] tags, ensuring the research step gathers external information alongside internal codebase queries as needed.
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