Agent skill

Research Schematic Design

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Create publication-quality, editable scientific and engineering schematics with explicit physical meaning, exact labels, visual hierarchy, and provenance.

Apache-2.0Auto-check passedDevelopment

Install Research Schematic Design

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill research-schematic-design -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins research-schematic-design --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/hanhuark/mechanical-engineering-research-skill/skills/research-schematic-design .claude/skills/research-schematic-design && 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
research-schematic-design
GitHub stars
1.2k
Token cost
~912 tokens
SKILL.md length
431 words
Files
6 (incl. references, assets)
Skills in repo
686
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create publication-quality, editable scientific and engineering schematics with explicit physical meaning, exact labels, visual hierarchy, and provenance.

  • Works in 5 steps: Identify the figure's single job:… → Build the schematic brief: audience,… → Choose the production lane → …
  • Experimental facilities
  • SKILL.md covers Purpose, Route To References, Core Rules and Workflow, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Research Schematic Design is an agent skill from hashgraph-online/awesome-codex-plugins. Create publication-quality, editable scientific and engineering schematics with explicit physical meaning, exact labels, visual hierarchy, and provenance. Use for experimental facilities, thermal-fluid mechanisms, workflows, graphical abstracts, system architectures, or research diagrams.

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files and assets (for example `agents/openai.yaml`, `assets/templates/schematic-brief.yaml` and `references/schematic-brief.md`).

It sits in Development, covering Diagrams and Data visualization. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Experimental facilities
  • Thermal-fluid mechanisms
  • Graphical abstracts
  • System architectures

Example prompts

  • “/research-schematic-design”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Identify the figure's single job: explain a facility, mechanism, workflow, comparison, or overall research story.
  2. Build the schematic brief: audience, target size, required components, exact labels and units, connections, evidence class, visual…
  3. Choose the production lane
  4. Build the source artifact and a rendered preview. Keep the figure uncluttered, with one visual grammar for arrows, line weights, colors…
  5. Run the scientific visual QA before delivery. Verify every label against the source material and inspect the figure at final use size.

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Research Schematic Design loads about 912 tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 79 tokens; SKILL.md has 431 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~912
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

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 passed

The automated check found no risky patterns in SKILL.md.

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 431 words, ~912 tokens.

Download SKILL.mdSave it as .claude/skills/research-schematic-design/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
research-schematic-design
description
Create publication-quality, editable scientific and engineering schematics with explicit physical meaning, exact labels, visual hierarchy, and provenance. Use for experimental facilities, thermal-fluid mechanisms, workflows, graphical abstracts, system architectures, or research diagrams.

Research Schematic Design

Purpose

Create figures that clarify a scientific claim without inventing evidence. A publication schematic is an engineering artifact: its geometry, flow directions, symbols, labels, color semantics, and stated scale must agree with the manuscript, data, and method.

Route To References

  • Read references/schematic-brief.md to turn the request into a complete technical brief.
  • Read references/schematic-workflow.md to choose native-vector, hybrid, or image-editing production.
  • Read references/scientific-visual-qa.md before delivering or inserting a figure into a manuscript, slide deck, proposal, or poster.
  • Start from assets/templates/schematic-brief.yaml when the user needs a reusable figure specification.

Core Rules

  • Default to an editable, native-vector source for system diagrams, facility schematics, workflows, labels, arrows, dimensions, equations, and legends. Use SVG, PowerPoint objects, or another requested editable format.
  • Use image generation only for visual concepts, non-semantic textures, or a reference composition. Never trust generated in-image text, arrow direction, numerical values, symbols, dimensions, or geometry as the final scientific content.
  • Recreate every final label, arrow, line, icon, legend, and quantitative annotation deterministically after a generated concept is selected.
  • Distinguish measured apparatus, simulated domains, proposed systems, conceptual mechanisms, and illustrative elements. Do not depict unmeasured mechanisms as observed facts.
  • Preserve source and rights boundaries. Do not trace or reproduce a third party's figure without permission; use supplied references for inspiration and create an original composition.
Show full SKILL.md (217 more words)Show less

Workflow

  1. Identify the figure's single job: explain a facility, mechanism, workflow, comparison, or overall research story.
  2. Build the schematic brief: audience, target size, required components, exact labels and units, connections, evidence class, visual hierarchy, and exclusions.
  3. Choose the production lane:
    • Native vector: default for facilities, flow paths, process diagrams, methods, system architectures, and graphical abstracts with exact labels.
    • Hybrid: generate one or more concept frames for composition or material cues, then reconstruct the accepted concept as editable vector objects.
    • Controlled image edit: use only when a supplied image must retain visual information; overlay all technical annotations as deterministic vector elements.
  4. Build the source artifact and a rendered preview. Keep the figure uncluttered, with one visual grammar for arrows, line weights, colors, labels, and callouts.
  5. Run the scientific visual QA before delivery. Verify every label against the source material and inspect the figure at final use size.

Required Output

When creating a final schematic, deliver:

  • an editable source artifact;
  • a publication or presentation preview in the requested format;
  • the completed brief or a compact provenance note identifying source material, generated illustrative elements, and non-scale elements; and
  • the exact visual and technical checks performed.

Do not call a schematic final when only a concept image exists or when final-size legibility has not been inspected.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references, assets) in plugins/hanhuark/mechanical-engineering-research-skill/skills/research-schematic-design of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • assets/templates/schematic-brief.yaml
  • references/schematic-brief.md
  • references/schematic-workflow.md
  • references/scientific-visual-qa.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Research Schematic Design 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.

Research Schematic Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Research Schematic Design this skillhashgraph-online/awesome-codex-plugins1.2k—~912Automated safety check: PassApache-2.0
Diagram Designcathrynlavery/diagram-design45k1 repos~7.5kAutomated safety check: PassMIT
Scientific Schematicsspacering-net/codeg3.8k11 repos~5.9kAutomated safety check: NotesMIT
Antv G2 Chartantvis/chart-visualization-skills506—~2.5kAutomated safety check: PassMIT
Markdown Mermaid WritingK-Dense-AI/scientific-agent-skills48k1 repos~4.2kAutomated safety check: NotesApache-2.0
Scientific SchematicsK-Dense-AI/scientific-agent-skills48k1 repos~5.1kAutomated safety check: NotesMIT

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Questions about Research Schematic Design

What does Research Schematic Design do?

Create publication-quality, editable scientific and engineering schematics with explicit physical meaning, exact labels, visual hierarchy, and provenance. Research Schematic Design is an agent skill from hashgraph-online/awesome-codex-plugins. Create publication-quality, editable scientific and engineering schematics with explicit physical meaning, exact labels, visual hierarchy, and provenance.

When should I use Research Schematic Design?

Research Schematic Design fits situations like: experimental facilities; thermal-fluid mechanisms; graphical abstracts; system architectures.

How do I install Research Schematic Design in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill research-schematic-design -a claude-code`. Or copy the skill folder (plugins/hanhuark/mechanical-engineering-research-skill/skills/research-schematic-design in hashgraph-online/awesome-codex-plugins) into .claude/skills/research-schematic-design in your project. Claude Code loads it when a task matches its description.

How do I install Research Schematic Design in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill research-schematic-design -a codex`. Or copy the skill folder (plugins/hanhuark/mechanical-engineering-research-skill/skills/research-schematic-design in hashgraph-online/awesome-codex-plugins) into .agents/skills/research-schematic-design in your project. Codex loads it when a task matches its description.

Can I use Research Schematic Design 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 hashgraph-online/awesome-codex-plugins --skill research-schematic-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research-schematic-design, .gemini/skills/research-schematic-design, .github/skills/research-schematic-design and .opencode/skills/research-schematic-design in your project.

What does Research Schematic Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Research Schematic Design is instructions for the agent only.

Does Research Schematic Design access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Research Schematic Design safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Research Schematic Design use?

Research Schematic Design is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Research Schematic Design use?

About 912 tokens (SKILL.md is roughly 3.6k 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 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Research Schematic Design?

Skills that share tags, products or a category with Research Schematic Design: Diagram Design (cathrynlavery/diagram-design, 45k stars), Scientific Schematics (spacering-net/codeg, 3.8k stars), Antv G2 Chart (antvis/chart-visualization-skills, 506 stars) and Markdown Mermaid Writing (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Research Schematic Design?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.