Agent skill

Minerals Viz

Generate charts (PNG/SVG) for critical minerals data — production, trade, import reliance, and time series

Apache-2.0Auto-check passedData & Analytics

Install Minerals Viz

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill minerals-viz -a claude-code

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

GitHub CLI

$ gh skill install lamm-mit/scienceclaw minerals-viz --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/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/minerals-viz .claude/skills/minerals-viz && 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/

Paste into Claude Code

Install the "minerals-viz" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/minerals-viz into .claude/skills/minerals-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minerals-viz", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/minerals-viz

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill minerals-viz -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw minerals-viz --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/minerals-viz .agents/skills/minerals-viz && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "minerals-viz" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/minerals-viz into .agents/skills/minerals-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minerals-viz", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill minerals-viz -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw minerals-viz --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/minerals-viz .cursor/skills/minerals-viz && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "minerals-viz" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/minerals-viz into .cursor/skills/minerals-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minerals-viz", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/minerals-viz

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill minerals-viz -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw minerals-viz --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/minerals-viz .gemini/skills/minerals-viz && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "minerals-viz" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/minerals-viz into .gemini/skills/minerals-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minerals-viz", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw minerals-viz

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill minerals-viz -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/minerals-viz .github/skills/minerals-viz && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "minerals-viz" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/minerals-viz into .github/skills/minerals-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minerals-viz", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill minerals-viz -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw minerals-viz --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/minerals-viz .opencode/skills/minerals-viz && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "minerals-viz" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/minerals-viz into .opencode/skills/minerals-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "minerals-viz", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: minerals-viz
GitHub stars: 246
Token cost: ~711 tokens
SKILL.md length: 185 words
Files: 2 (incl. scripts)
Skills in repo: 86
Repo updated: Aug 21, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Generate charts (PNG/SVG) for critical minerals data — production, trade, import reliance, and time series

Tasks that involve Forecasting and time series
SKILL.md covers Usage, Parameters, Chart Types and USGS Commodity Codes, plus 2 more sections
Runs Python scripts from its folder; calls python3
Tasks that involve Data visualization

What it does

Minerals Viz is an agent skill from lamm-mit/scienceclaw. Generate charts (PNG/SVG) for critical minerals data — production, trade, import reliance, and time series

Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/generate_chart.py`).

It sits in Data & Analytics, covering Forecasting and time series and Data visualization. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Forecasting and time series
Tasks that involve Data visualization

Example prompts

“/minerals-viz”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ab9aba1. 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 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
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

Minerals Viz loads about 711 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 185 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~30
When it runs · the whole SKILL.md, loaded when a task matches: ~711

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); the scripts in this folder are not scanned.

SKILL.md

The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 185 words, ~711 tokens.

Download SKILL.mdSave it as .claude/skills/minerals-viz/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: minerals-viz
description: Generate charts (PNG/SVG) for critical minerals data — production, trade, import reliance, and time series

Minerals Visualization

Generate publication-quality charts for critical minerals data using the cmm_data visualizations module. Supports world production bar charts, production time series, import reliance charts, and multi-commodity comparisons.

Usage

World production chart:

bash

python3 {baseDir}/scripts/generate_chart.py --chart-type production --commodity lithi

Time series:

bash

python3 {baseDir}/scripts/generate_chart.py --chart-type timeseries --commodity cobal

Import reliance:

bash

python3 {baseDir}/scripts/generate_chart.py --chart-type import-reliance --commodity raree

Custom output:

bash

python3 {baseDir}/scripts/generate_chart.py --chart-type production --commodity lithi --output lithium_prod.png --format png

Parameters

Parameter	Description	Default
`--chart-type`	Chart type: production, timeseries, import-reliance	Required
`--commodity`	USGS commodity code (e.g., lithi, cobal, raree, graph, nicke)	Required
`--output`	Output file path	auto-generated
`--format`	Image format: png, svg	png
`--top-n`	Number of countries in production chart	10

Chart Types

Type	Description	Data Source
`production`	Horizontal bar chart of top producers	USGS world production
`timeseries`	Line chart of production over time	USGS salient statistics
`import-reliance`	NIR bar chart with threshold line	USGS salient statistics

USGS Commodity Codes

Code	Commodity	Code	Commodity
`lithi`	Lithium	`cobal`	Cobalt
`raree`	Rare Earths	`graph`	Graphite
`nicke`	Nickel	`manga`	Manganese
`galli`	Gallium	`germa`	Germanium
`coppe`	Copper	`tungs`	Tungsten

Examples

bash

# Lithium top producers
python3 {baseDir}/scripts/generate_chart.py --chart-type production --commodity lithi --top-n 10

# Cobalt production time series
python3 {baseDir}/scripts/generate_chart.py --chart-type timeseries --commodity cobal --output cobalt_trend.png

# Rare earth import reliance (SVG)
python3 {baseDir}/scripts/generate_chart.py --chart-type import-reliance --commodity raree --format svg

Notes

Requires matplotlib (install with: pip install matplotlib)
USGS data files must be present in cmm-data data directory
Output defaults to current directory with auto-generated filename
SVG format recommended for publications and reports
For raw data access, use the minerals-data skill

Files

SKILL.md and 1 other file (scripts) in skills/minerals-viz of lamm-mit/scienceclaw.

SKILL.md
scripts/generate_chart.py

Open the folder on GitHubat commit ab9aba1

Compare with similar skills

Minerals Viz 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.

Minerals Viz compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Minerals Viz this skilllamm-mit/scienceclaw	246	—	~711	Automated safety check: Pass	Apache-2.0	1 mo ago
Chart Imagezebbern/claude-code-guide	4.7k	—	~2.7k	Automated safety check: Pass	MIT	today
Tuftearef-vc/tufte-claude-skill	307	—	~1.3k	Automated safety check: Pass	MIT	3 mo ago
Advanced Data VisualizationHack23/cia	239	—	~1.5k	Automated safety check: Pass	Apache-2.0	today
Scientific Toolkit SkillzLanqing/codex-claude-academic-skills	4.7k	—	~1.2k	Automated safety check: Pass	MIT	4 mo ago
Chem Nmr Analysislearningmatter-mit/AtomisticSkills	176	—	~2.3k	Automated safety check: Pass	MIT	3 days ago

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Questions about Minerals Viz

What does Minerals Viz do?

Generate charts (PNG/SVG) for critical minerals data — production, trade, import reliance, and time series. Minerals Viz is an agent skill from lamm-mit/scienceclaw.

When should I use Minerals Viz?

Minerals Viz fits situations like: tasks that involve Forecasting and time series; tasks that involve Data visualization.

How do I install Minerals Viz in Claude Code?

Run `npx skills add lamm-mit/scienceclaw --skill minerals-viz -a claude-code`. Or copy the skill folder (skills/minerals-viz in lamm-mit/scienceclaw) into .claude/skills/minerals-viz in your project. Claude Code loads it when a task matches its description.

How do I install Minerals Viz in Codex?

Run `npx skills add lamm-mit/scienceclaw --skill minerals-viz -a codex`. Or copy the skill folder (skills/minerals-viz in lamm-mit/scienceclaw) into .agents/skills/minerals-viz in your project. Codex loads it when a task matches its description.

Can I use Minerals Viz 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 lamm-mit/scienceclaw --skill minerals-viz -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/minerals-viz, .gemini/skills/minerals-viz, .github/skills/minerals-viz and .opencode/skills/minerals-viz in your project.

What does Minerals Viz need to run?

Going by SKILL.md and its folder, Minerals Viz needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Minerals Viz 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 Minerals Viz 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Minerals Viz use?

Minerals Viz 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 Minerals Viz use?

About 711 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Minerals Viz?

Skills that share tags, products or a category with Minerals Viz: Chart Image (zebbern/claude-code-guide, 4.7k stars), Tufte (aref-vc/tufte-claude-skill, 307 stars), Advanced Data Visualization (Hack23/cia, 239 stars) and Scientific Toolkit Skill (zLanqing/codex-claude-academic-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Minerals Viz?

lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 246 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on August 21, 2026.

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

Install Minerals Viz

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Minerals Visualization

Usage

World production chart:

Time series:

Import reliance:

Custom output:

Parameters

Chart Types

USGS Commodity Codes

Examples

Notes

Files

Compare with similar skills

Similar skills

More from lamm-mit/scienceclaw

Related

Questions about Minerals Viz