Agent skill

Scientific Schematics

by jimmc414 in jimmc414/Kosmos

Create publication-quality scientific diagrams, flowcharts, and schematics using Python (graphviz, matplotlib, schemdraw, networkx).

No licenceAuto-check: notesData & Analytics

Install Scientific Schematics

skills CLI
$ npx skills add jimmc414/Kosmos --skill scientific-schematics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jimmc414/Kosmos scientific-schematics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jimmc414/Kosmos.git skills-src && mkdir -p .claude/skills && cp -r skills-src/kosmos-reference/kosmos-claude-scientific-writer/.claude/skills/scientific-schematics .claude/skills/scientific-schematics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
scientific-schematics
GitHub stars
595
Token cost
~16k tokens
SKILL.md length
2,299 words
Files
14 (incl. scripts, references, assets)
Skills in repo
6
Repo updated
First seen
Licence
None found

At a glance

Create publication-quality scientific diagrams, flowcharts, and schematics using Python (graphviz, matplotlib, schemdraw, networkx).

  • Works in 12 steps: Diagram Types Supported → Identify Diagram Structure → Set Up Base Template → …
  • Tasks that involve Diagrams
  • SKILL.md covers Overview, Zero-Shot Diagram Generation…, When to Use This Skill and Best Libraries by Diagram Type, plus 5 more sections
  • Runs Python scripts from its folder; calls python, pip and git

What it does

Scientific Schematics is an agent skill from jimmc414/Kosmos. Create publication-quality scientific diagrams, flowcharts, and schematics using Python (graphviz, matplotlib, schemdraw, networkx). Specialized in neural network architectures, system diagrams, and flowcharts. Generates SVG/EPS in figures/ folder with automated quality verification.

Its SKILL.md is about 16k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts, reference files and assets (for example `references/best_practices.md`, `references/diagram_types.md` and `references/python_libraries.md`).

It sits in Data & Analytics, covering Diagrams, Data visualization and Deep learning. It works with Python, Matplotlib and NetworkX. The repository describes itself as: Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper -….

When your agent uses it

  • Tasks that involve Diagrams
  • Tasks that involve Data visualization
  • Tasks that involve Deep learning

Example prompts

  • “/scientific-schematics”

Requirements

  • Python 3

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Diagram Types Supported
  2. Identify Diagram Structure
  3. Set Up Base Template
  4. Add Nodes with Clear Labels
  5. Connect Nodes with Edges
  6. Use Subgraphs for Grouping
  7. Render and Verify
  8. Publication Standards
  9. Analysis (2 minutes)
  10. Implementation (10-15 minutes)
  11. Quality Verification (5 minutes)
  12. LaTeX Integration (2 minutes)

What it can do on your machine

Read from SKILL.md and the folder at commit 73f4d2a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 4 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip
    • git
    • brew
    • apt-get
    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • pgf-tikz.github.io
    • texample.net
    • ctan.org
    • schemdraw.readthedocs.io
    • networkx.org
    • matplotlib.org
    • nature.com
    • science.org
    • consort-statement.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scientific Schematics loads about 16k tokens when it runs, and up to ~33k if it reads all its reference files. Until then it costs about 77 tokens; SKILL.md has 2,299 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~16k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~33k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteRuns commands with sudoSKILL.md:382
    sudo apt-get install graphviz
  • NoteRuns commands with sudoSKILL.md:1012
    sudo apt-get install graphviz

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 2,299 words (~16,230 tokens).

“Scientific schematics and diagrams transform complex concepts into clear visual representations for publication. Generate neural network architectures, flowcharts, circuit diagrams, biological pathways, and system diagrams using best-in-class Python libraries. All diagrams are created as SVG/EPS files, stored in the figures/…”

— opening of SKILL.md by jimmc414
name
scientific-schematics

Read the full SKILL.md on GitHub

Files

SKILL.md and 13 other files (scripts, references, assets) in kosmos-reference/kosmos-claude-scientific-writer/.claude/skills/scientific-schematics of jimmc414/Kosmos.

  • SKILL.md
  • assets/block_diagram_template.tex
  • assets/circuit_template.tex
  • assets/flowchart_template.tex
  • assets/pathway_template.tex
  • assets/tikz_styles.tex
  • references/best_practices.md
  • references/diagram_types.md
  • references/python_libraries.md
  • references/tikz_guide.md
  • scripts/circuit_generator.py
  • scripts/compile_tikz.py
  • scripts/generate_flowchart.py
  • scripts/pathway_diagram.py

Open the folder on GitHubat commit 73f4d2a

Compare with similar skills

Scientific Schematics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Scientific Schematics compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Scientific Schematics this skilljimmc414/Kosmos595—~16kAutomated safety check: NotesNone
Bio Data Visualization Network VisualizationGPTomics/bioSkills1.2k2 repos~3.7kAutomated safety check: PassMIT
Academic Figurejoshua-zyy/academic-paper-writer115—~816Automated safety check: PassMIT
Openai Dotcom Vizyzlnew/infra-skills149—~1.3kAutomated safety check: PassNone
Scientific SchematicsK-Dense-AI/claude-scientific-writer2.4k1 repos~4.3kAutomated safety check: NotesMIT
Visual Designaws-samples/sample-strands-agent-with-agentcore195—~1.5kAutomated safety check: PassMIT

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Questions about Scientific Schematics

What does Scientific Schematics do?

Create publication-quality scientific diagrams, flowcharts, and schematics using Python (graphviz, matplotlib, schemdraw, networkx). Scientific Schematics is an agent skill from jimmc414/Kosmos. Create publication-quality scientific diagrams, flowcharts, and schematics using Python (graphviz, matplotlib, schemdraw, networkx).

When should I use Scientific Schematics?

Scientific Schematics fits situations like: tasks that involve Diagrams; tasks that involve Data visualization; tasks that involve Deep learning.

How do I install Scientific Schematics in Claude Code?

Run `npx skills add jimmc414/Kosmos --skill scientific-schematics -a claude-code`. Or copy the skill folder (kosmos-reference/kosmos-claude-scientific-writer/.claude/skills/scientific-schematics in jimmc414/Kosmos) into .claude/skills/scientific-schematics in your project. Claude Code loads it when a task matches its description.

How do I install Scientific Schematics in Codex?

Run `npx skills add jimmc414/Kosmos --skill scientific-schematics -a codex`. Or copy the skill folder (kosmos-reference/kosmos-claude-scientific-writer/.claude/skills/scientific-schematics in jimmc414/Kosmos) into .agents/skills/scientific-schematics in your project. Codex loads it when a task matches its description.

Can I use Scientific Schematics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jimmc414/Kosmos --skill scientific-schematics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scientific-schematics, .gemini/skills/scientific-schematics, .github/skills/scientific-schematics and .opencode/skills/scientific-schematics in your project.

What does Scientific Schematics need to run?

Going by SKILL.md and its folder, Scientific Schematics needs Python for the scripts in its folder and the command-line tools its instructions call (python, pip, git, brew, apt-get and node). Our summary lists: Python 3.

Does Scientific Schematics access the network?

SKILL.md names 9 domains. As links in the text: pgf-tikz.github.io, texample.net, ctan.org, schemdraw.readthedocs.io, networkx.org, matplotlib.org, nature.com, science.org and consort-statement.org. This is read from the text; nothing was executed.

Is Scientific Schematics safe to install?

Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Scientific Schematics use?

No licence was found for Scientific Schematics or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Scientific Schematics use?

About 16k tokens (SKILL.md is roughly 65k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 17k tokens, read only when the agent opens those files.

What are the alternatives to Scientific Schematics?

Skills that share tags, products or a category with Scientific Schematics: Bio Data Visualization Network Visualization (GPTomics/bioSkills, 1.2k stars), Academic Figure (joshua-zyy/academic-paper-writer, 115 stars), Openai Dotcom Viz (yzlnew/infra-skills, 149 stars) and Scientific Schematics (K-Dense-AI/claude-scientific-writer, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scientific Schematics?

jimmc414 (a GitHub user) maintains it in jimmc414/Kosmos, which has 595 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 9, 2026.

Source: jimmc414/Kosmos on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.