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scientific-visualization

Open source alternatives to scientific-visualization

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

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  2. O

    opensource-pipeline

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    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

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  3. A

    andrej-karpathy-skills

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    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

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  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

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  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

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  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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About scientific-visualization

S

scientific-visualization

Creates and audits truthful, accessible

scientific-visualization is an agent skill for creating and auditing truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn or Plotly. It is for figure design, multi-panel layouts and the checks that come before submission. The skill puts scientific meaning first, before appearance. It keeps universal principles apart from dated publisher rules, preserves the raw data and every transformation, uses colour redundantly so that it does not rely on hue alone, and inspects the delivered files rather than trusting plotting defaults. Its guardrails are strict. It never alters, hides, invents or selectively enhances data to improve a figure. It keeps raw tables, exclusions, missing-value codes, analysis code, normalisation, binning, image adjustments and random seeds. It does not assume a journal's requirements, but identifies the exact journal, article type, figure type and submission stage, and checks the live official guidance. It warns that a palette, a DPI value or an automated report does not by itself make a figure accessible or compliant. It also says that interactive hover is not a substitute for labels, alt text or a static fallback.

View scientific-visualizationAll AI Skills apps
Price
Free
Made by
k-dense-ai
Category
AI Skills
Website
github.com/k-dense-ai/scientific-agent-skills/scientific-visualization