science-superpowers

What science-superpowers does, in the publisher's words

From the project README, punctuation lightly normalized · Open the README on GitHub →

Links

• github.com/K-Dense-AI/science-superpowers
• plugin.json (manifest)

Skills · 16

designing-the-analysis

Use when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model

dispatching-parallel-investigations

Use when facing 2+ independent investigations that can proceed without shared state, parallel literature survey, multi-dataset replication, or pre-specified robustness checks

establishing-feasibility-first

Use when your human partner has explicitly opted into exploratory or feasibility mode, a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested cluster job, or when whether the work can run at all is still unknown, when a plan's largest configuration has never been e…

executing-analysis

Use when you have a pre-registered analysis plan to execute inline in this session with review checkpoints, on a platform without subagents

framing-research-questions

You MUST use this before any data analysis or investigation, before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any outcome data is touched

investigating-anomalous-results

Use when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails, before adjusting anything

preregistering-analysis

Use before running any confirmatory analysis or looking at outcome data, when testing a hypothesis, computing a p-value, or about to claim an effect, locks predictions and decision rules before results are seen

receiving-critical-review

Use when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable, requires verification, not performative agreement or blind changes

reporting-and-archiving-findings

Use when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility

requesting-red-team-review

Use after completing an analysis or before reporting a finding, to have a skeptical reviewer attack the conclusion before you believe it

setting-up-reproducible-analysis

Use when starting analysis work that needs isolation, or before executing a pre-registered plan, ensures an isolated, reproducible workspace with pinned environment, fixed seeds, and immutable raw data

subagent-driven-analysis

Use when executing a pre-registered analysis plan with mostly independent steps in the current session

surveying-prior-work

using-science-superpowers

verifying-results-before-claiming

writing-science-skills

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.

Category

Research & Search. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.

Keywords

skills · science · research · pre-registration · reproducibility · statistics · data-analysis · workflows

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