This is the "read the existing codebase before you write new code" step for research. Use it after you've framed a question but before you design the analysis. It walks you through grounding four things: what methods are standard for this question, what confounds are already known, what effect sizes others have found (so you can power your study), and whether your work is actually novel or just a rediscovery. The workflow dispatches parallel subagents for broad surveys to keep context clean, then synthesizes findings into a short note with sources cited. Honest take: skipping this is how you reinvent methods badly or report known artifacts as discoveries. The red flags section is blunt about common mistakes, which is refreshing.
npx -y skills add k-dense-ai/science-superpowers --skill surveying-prior-work --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills