Generate research questions from codebase discovery agents and key files.
npx skills add https://github.com/juicesharp/rpiv-mono --skill discover-juicesharp
Please help me install this Agent Skill. Skill: discover Source: https://github.com/juicesharp/rpiv-mono/tree/main/packages/rpiv-pi/skills/discover Command: npx skills add https://github.com/juicesharp/rpiv-mono --skill discover-juicesharp
The Skill enables teams to systematically generate trace-quality research questions by coordinating discovery agents, reading key files for depth, and synthesizing findings into dense question paragraphs that serve as inputs to the research workflow. The questions are stored as artifacts in thoughts/shared/questions/.
Provide a research topic or ticket text, and the skill will generate a questions artifact from discovery.
High-intent search queries and answers about installing and using this skill.
You can generate research questions from a codebase by providing a topic input that drives discovery agents to read key files and synthesize findings into dense question paragraphs.
Codebase discovery is the process of orchestrating agents to surface trace-quality research questions by reading key implementation files and grounding questions in actual file-level signatures.
Grounding research questions in implementation details involves running discovery agents that perform depth-reading of key files to synthesize trace-quality, dense question paragraphs based on actual signatures.
Yes, you can use a research topic or ticket text as input to drive the discovery agents, which then read key files and synthesize findings into a portable questions artifact.
The generated research questions artifacts are stored as compact, portable files in the thoughts/shared/questions/ directory to serve as inputs for downstream analysis.
The best way to prepare a codebase for downstream research analysis is to run a discovery skill that generates trace-quality questions, storing the artifacts in thoughts/shared/questions/ for the research pipeline.
visualityplAutomate Linear ticket research by fetching details, analyzing documents, and updating tickets.
juicesharpOrchestrate targeted analysis agents to answer structured research questions and generate a consolidated research document.
cookeyholderAnswer codebase questions using a knowledge graph of nodes and edges.
Jamie-CuiDecompose research questions, delegate sub-tasks to an explore agent, and synthesize findings into a structured report.
