# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Resources for ML / AI or Architecture / Civil or Teachers / Students, Tagged `data-visualization`: 3 items.

> - ML / AI: Model training, evaluation and LLM application development.
> - Architecture / Civil: Building design and BIM, CAD drawings, structural analysis, quantities, costing and site paperwork.
> - Teachers / Students: Lesson prep, quizzes, grading and course materials; self-study and exam prep.

- [PaperBanana](https://hebbmind.com/mcp/paperbanana.md): [MCP] Turns a paper's method description (text or PDF) or data files into publication-ready diagrams and plots, with several AI reviewer roles refining each figure. Needs an OpenAI or Gemini API key (billed per image), Python and uv. A community reimplementation, not by the original paper's authors.
- [Math Modeling Skill](https://hebbmind.com/skill/math-modeling-skill.md): [Skill] A three-stage workflow for math modeling contests like MCM/ICM and CUMCM: analysis, solving and plotting in Python or MATLAB, and a Word (optionally LaTeX) paper, with stage-check subagents and OpenAlex plus AnySearch literature search. Generated papers are for reference only.
- [PaperOrchestra](https://hebbmind.com/skill/paperorchestra.md): [Skill] The five-agent PaperOrchestra pipeline (outline, figures, literature review, section writing, polishing) as skills: turns research ideas, experiment logs and a conference template into a LaTeX paper and checks citations via Semantic Scholar. Needs Python; verify the draft yourself.