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Skills/AI & Agent Building
k-dense-ai avatar

Subagent Driven Analysis

k-dense-ai/science-superpowers

When you have a frozen, pre-registered analysis plan with independent steps, this skill runs them one by one using fresh subagents per step, each with isolated…

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

Install

$ npx -y skills add k-dense-ai/science-superpowers --skill subagent-driven-analysis --agent claude-code

Installs into .claude/skills of the current project.

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What it does

When you have a frozen, pre-registered analysis plan with independent steps, this skill runs them one by one using fresh subagents per step, each with isolated context to prevent improvisation. After each step completes, it dispatches two reviewers in sequence: first a protocol compliance check to ensure nothing beyond the pre-registration was run, then a statistical rigor review for correctness and reproducibility. The continuous execution loop only pauses for blockers or genuine ambiguities. This is rigorous to the point of being almost bureaucratic, but that's the design. If your analysis isn't pre-registered yet or your harness doesn't support subagents, you'll need different skills first.

Files

Select a file.

Details

Repository
github.com/k-dense-ai/science-superpowers
Categories
AI & Agent Building, Productivity & Planning
First seen
Jun 11, 2026

More from k-dense-ai/science-superpowers

All 15
  • Surveying Prior Work
  • Using Science Superpowers
  • Verifying Results Before Claiming
  • Writing Science Skills
  • Designing The Analysis
  • Dispatching Parallel Investigations
  • 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

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