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Skills/Automation & Workflows
k-dense-ai avatar

Dispatching Parallel Investigations

k-dense-ai/science-superpowers

When you have multiple independent investigations that don't share state, this runs them in parallel rather than sequentially.

GitHub stars
202
last updated
Jun 1, 2026
View on GitHubSave

Install

$ npx -y skills add k-dense-ai/science-superpowers --skill dispatching-parallel-investigations --agent claude-code

Installs into .claude/skills of the current project.

Sponsors

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What it does

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.

Files

Select a file.

Details

Repository
github.com/k-dense-ai/science-superpowers
Category
Automation & Workflows
First seen
Jun 11, 2026

More from k-dense-ai/science-superpowers

All 15
  • Executing Analysis
  • Framing Research Questions
  • Investigating Anomalous Results
  • Preregistering Analysis
  • Receiving Critical Review
  • Reporting And Archiving Findings
  • Requesting Red Team Review
  • Setting Up Reproducible Analysis
  • Subagent Driven Analysis
  • Surveying Prior Work
  • Using Science Superpowers
  • Verifying Results Before Claiming
  • Writing Science Skills
  • Designing The Analysis

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