agentpluginsdirectory
K-Dense-AI avatar

science-superpowers

v0.1.0

by K-Dense-AI · author: K-Dense, Inc.

science-superpowers is an Agent Plugin published by K-Dense-AI that packages 16 skills and no MCP servers for ChatGPT, Codex, Cursor, GitHub Copilot, VS Code, and Kiro. Verified against the official Agent Plugins 1.0.0 schema on 2026-08-13; MIT licensed; 286 stars on the host repository.

Computational-science methodology for research agents: question framing, prior-work survey, analysis design, pre-registration, reproducible execution, anomaly investigation, results verification, and red-team review.

Skills
16
MCP servers
0
Stars
286
License
MIT

Links

Skills · 16

  • designing-the-analysis
  • dispatching-parallel-investigations
  • establishing-feasibility-first
  • 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

Category

Research & Search — assigned by this directory, not declared in the manifest.

Keywords

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

Related plugins

  • scientific-agent-skillsK-Dense-AI

    Ready-to-use scientific and research Agent Skills for biology, chemistry, medicine, and related workflows.

  • claude-scientific-writerK-Dense-AI

    Deep research and scientific writing skills: publication-ready papers, literature reviews, grant proposals, posters, slides, and clinical reports backed by verified citations.

  • builder-skillsOnStartups

    The 21 Builder.org GTM platform skills: account briefs, prospect research, outreach sequences, pipeline digests, meeting prep and follow-up, HubSpot automation patterns, and more.

  • skill-tunerStartupBros-com

    Tells you whether a change to an agent-consumed document actually worked: paired comparison with a confidence interval and a non-inferiority margin, content-hashed provenance with drift detection, and an adversarial defect probe. Reads Anthropic's skill-creator benchmark output and supplies the verdict it stops short of.

  • exaexa-labs

    A Model Context Protocol server with Exa for web search, code search, and web crawling. Provides real-time web searches with configurable tool selection, allowing users to enable or disable specific search capabilities.

  • agent-native-designBuilderIO

    Explore, compare, iterate, and export interactive UI design prototypes from the Design app.

Show the badge

science-superpowers passed verification against the official 1.0.0 schema. Add the badge to your README to show it — it links readers to this verified listing.

Agent Plugin: verified badge preview
[![Verified Agent Plugin](https://agentpluginsdirectory.com/badge.svg)](https://agentpluginsdirectory.com/plugins/science-superpowers)

✓ Verified : manifest fetched from GitHub and checked against the official Agent Plugins 1.0.0 schema (agent-plugins.org).