When you have multiple independent investigations that don't share state, this runs them in parallel rather than sequentially. Think literature surveys across different subtopics, replicating the same analysis on separate datasets, or pre-specified robustness checks. The key constraint is intellectual honesty: it's built for cases where you'll report all results, not for fishing through 20 specifications to cherry-pick the one that works. Each agent gets a focused scope and exact instructions, runs its investigation independently, then you synthesize and verify everything. The documentation is unusually direct about the p-hacking risk, which is refreshing. Works well when parallelism actually saves time and you were going to run all the analyses anyway.
npx -y skills add k-dense-ai/science-superpowers --skill dispatching-parallel-investigations --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills