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Skills/Git & Pull Requests
k-dense-ai avatar

Reporting And Archiving Findings

k-dense-ai/science-superpowers

When your analysis is done, this walks you through closing the loop: verify it reproduces from scratch, then choose whether to merge locally, write it up for…

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

Install

$ npx -y skills add k-dense-ai/science-superpowers --skill reporting-and-archiving-findings --agent claude-code

Installs into .claude/skills of the current project.

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What it does

When your analysis is done, this walks you through closing the loop: verify it reproduces from scratch, then choose whether to merge locally, write it up for sharing, keep the branch, or discard. It detects whether you're in a worktree or detached HEAD and adjusts the menu accordingly. The discipline here is requiring reproducibility before you report anything, and forcing you to separate confirmatory results from exploratory ones in whatever you write. It also handles the cleanup choreography so you don't orphan worktrees or delete branches that haven't been merged yet. Opinionated about scientific rigor but the mechanics work for any analysis you want to archive properly.

Files

Select a file.

Details

Repository
github.com/k-dense-ai/science-superpowers
Category
Git & Pull Requests
First seen
Jun 11, 2026

More from k-dense-ai/science-superpowers

All 15
  • 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
  • Dispatching Parallel Investigations
  • Executing Analysis
  • Framing Research Questions
  • Investigating Anomalous Results
  • Preregistering Analysis
  • Receiving Critical Review

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