Mviz
matsonj/mviz
A chart & report builder for AI. An agent skill from matsonj/mviz.
Guides chart, dashboard and map design: pick the simplest form for the question, state the finding in the title, and check palettes with a local validator.
$ npx skills add QwenLM/qwen-code --skill dataviz -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install QwenLM/qwen-code dataviz --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/QwenLM/qwen-code.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/src/skills/bundled/dataviz .claude/skills/dataviz && rm -rf skills-srcUse ~/.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/
Install the "dataviz" agent skill from https://github.com/QwenLM/qwen-code/tree/main/packages/core/src/skills/bundled/dataviz into .claude/skills/dataviz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz", 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 install https://github.com/QwenLM/qwen-code/tree/main/packages/core/src/skills/bundled/datavizType 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.
$ npx skills add QwenLM/qwen-code --skill dataviz -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install QwenLM/qwen-code dataviz --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QwenLM/qwen-code.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/core/src/skills/bundled/dataviz .agents/skills/dataviz && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dataviz" agent skill from https://github.com/QwenLM/qwen-code/tree/main/packages/core/src/skills/bundled/dataviz into .agents/skills/dataviz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz", 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.
$ npx skills add QwenLM/qwen-code --skill dataviz -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install QwenLM/qwen-code dataviz --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QwenLM/qwen-code.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/core/src/skills/bundled/dataviz .cursor/skills/dataviz && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dataviz" agent skill from https://github.com/QwenLM/qwen-code/tree/main/packages/core/src/skills/bundled/dataviz into .cursor/skills/dataviz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz", 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 https://github.com/QwenLM/qwen-code.git --path packages/core/src/skills/bundled/dataviz--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add QwenLM/qwen-code --skill dataviz -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install QwenLM/qwen-code dataviz --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QwenLM/qwen-code.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/core/src/skills/bundled/dataviz .gemini/skills/dataviz && rm -rf skills-srcUse ~/.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/
Install the "dataviz" agent skill from https://github.com/QwenLM/qwen-code/tree/main/packages/core/src/skills/bundled/dataviz into .gemini/skills/dataviz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz", 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.
$ gh skill install QwenLM/qwen-code datavizInstalls 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).
$ npx skills add QwenLM/qwen-code --skill dataviz -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/QwenLM/qwen-code.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/core/src/skills/bundled/dataviz .github/skills/dataviz && rm -rf skills-srcUse ~/.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/
Install the "dataviz" agent skill from https://github.com/QwenLM/qwen-code/tree/main/packages/core/src/skills/bundled/dataviz into .github/skills/dataviz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz", 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.
$ npx skills add QwenLM/qwen-code --skill dataviz -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install QwenLM/qwen-code dataviz --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QwenLM/qwen-code.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/core/src/skills/bundled/dataviz .opencode/skills/dataviz && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dataviz" agent skill from https://github.com/QwenLM/qwen-code/tree/main/packages/core/src/skills/bundled/dataviz into .opencode/skills/dataviz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dataviz", 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.
datavizGuides chart, dashboard and map design: pick the simplest form for the question, state the finding in the title, and check palettes with a local validator.
Before producing any chart, dashboard, map or other visualization, the agent names the analytic task, such as comparison, trend, distribution, relationship, ranking, part-to-whole, geography or status monitoring, and picks the simplest form that answers it. The finding goes into the title, subtitle, axis label or a direct annotation so a viewer sees what changed or what decision the chart supports.
Colors come from references/palette.md, or a custom palette is checked with scripts/validate_palette.js, run through Node with a list of hex colors and a light or dark mode. FAIL means the palette must change, and WARN is acceptable only if labels, shape, texture or ordering also carry the distinction. Mark rules call for categorical colors on unordered groups, direct labels over legends when there are few series, quiet gridlines, and no dual axes unless the transformation is explained. references/anti-patterns.md is checked before the design is finished.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6386bb2. It shows what the files ask for, not the result of running them.
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.
Ships 2 files in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dataviz Design Guidance loads about 514 tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 226 words of instructions outside code blocks.
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.
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.
The full file from QwenLM/qwen-code at commit 6386bb2, republished under its Apache-2.0 licence (© QwenLM). 226 words, ~514 tokens.
.claude/skills/dataviz/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Use this skill before producing a chart, dashboard, map, or data visualization.
references/choosing-a-form.md when the form is not obvious.references/palette.md, or validate any custom palette with
the script below.references/anti-patterns.md before finalizing the design.Resolve paths relative to the skill base directory shown above this skill body.
Do not assume $QWEN_SKILL_ROOT is set for normal shell commands.
Run:
node <skill-base-directory>/scripts/validate_palette.js '#1d4ed8,#b45309,#166534' --mode lightTreat FAIL as a required palette change. Treat WARN as acceptable only when
the chart also uses labels, shape, texture, ordering, or another secondary
encoding.
© QwenLM, 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
SKILL.md and 5 other files (scripts, references) in packages/core/src/skills/bundled/dataviz of QwenLM/qwen-code.
Open the folder on GitHubat commit 6386bb2
Dataviz Design Guidance 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dataviz Design Guidance this skillQwenLM/qwen-code | 28k | — | ~514 | Automated safety check: Pass | Apache-2.0 | |
| Mvizmatsonj/mviz | 227 | — | ~11k | Automated safety check: Pass | None | |
| Creating Dashboardsancoleman/ai-design-components | 525 | — | ~3.5k | Automated safety check: Pass | MIT | |
| D3 Visualizationbenchflow-ai/skillsbench | 1.8k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Cs448b Visualizationsundial-org/skills | 153 | — | ~684 | Automated safety check: Pass | None | |
| Bio Data Visualization Color PalettesGPTomics/bioSkills | 1.2k | 2 repos | ~3.6k | Automated safety check: Pass | MIT |
matsonj/mviz
A chart & report builder for AI. An agent skill from matsonj/mviz.
ancoleman/ai-design-components
Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts.
benchflow-ai/skillsbench
Build deterministic, verifiable data visualizations with D3.js (v6).
sundial-org/skills
Data visualization design based on Stanford CS448B. An agent skill from sundial-org/skills.
GPTomics/bioSkills
Select colormaps and qualitative palettes for scientific figures using perceptual-uniformity, color-vision-deficiency safety, and luminance-monotonicity criteria.
Owl-Listener/designer-skills
Select chart types and design data encodings — marks, axes, labels, and accessible chart styling.
QwenLM/qwen-code
Reproduces a feature from Codex or Claude Code in Qwen Code by running the reference agent under capture, reading the traces, then implementing matching behavior.
QwenLM/qwen-code
Guides end-to-end testing of the Qwen Code CLI in headless mode with real model calls, MCP test servers and inspection of raw API traffic.
QwenLM/qwen-code
Scheduled CI skill that scans a repository for small, certain docs, test and code hygiene issues and fixes them on one branch with a commit per finding.
QwenLM/qwen-code
Builds a rebranded Qwen Code desktop package from the Tauri shell using only a brand id and a logo, with sensible derived defaults.
QwenLM/qwen-code
Walks through capturing and comparing V8 heap snapshots to find memory leaks in the Qwen Code Node.js CLI, using tmux and the chrome-devtools CLI.
QwenLM/qwen-code
Drives Qwen Code in a real tmux session the way a user would and saves a readable step-by-step transcript of each screen for maintainers to review.
Categories
Guides chart, dashboard and map design: pick the simplest form for the question, state the finding in the title, and check palettes with a local validator. Before producing any chart, dashboard, map or other visualization, the agent names the analytic task, such as comparison, trend, distribution, relationship, ranking, part-to-whole, geography or status monitoring, and picks the simplest form that answers it. The finding goes into the title, subtitle, axis label or a direct annotation so a viewer sees what changed or what decision the chart supports.
Dataviz Design Guidance fits situations like: building a chart or dashboard and choosing the right chart type; checking that a custom color palette is readable and distinguishable; designing a map or status-monitoring view; reviewing a visualization for common design mistakes.
Run `npx skills add QwenLM/qwen-code --skill dataviz -a claude-code`. Or copy the skill folder (packages/core/src/skills/bundled/dataviz in QwenLM/qwen-code) into .claude/skills/dataviz in your project. Claude Code loads it when a task matches its description.
Run `npx skills add QwenLM/qwen-code --skill dataviz -a codex`. Or copy the skill folder (packages/core/src/skills/bundled/dataviz in QwenLM/qwen-code) into .agents/skills/dataviz in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add QwenLM/qwen-code --skill dataviz -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dataviz, .gemini/skills/dataviz, .github/skills/dataviz and .opencode/skills/dataviz in your project.
Going by SKILL.md and its folder, Dataviz Design Guidance needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Node.js, to run the palette validator script.
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.
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.
Dataviz Design Guidance 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.
About 514 tokens (SKILL.md is roughly 2.1k 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 841 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Dataviz Design Guidance: Mviz (matsonj/mviz, 227 stars), Creating Dashboards (ancoleman/ai-design-components, 525 stars), D3 Visualization (benchflow-ai/skillsbench, 1.8k stars) and Cs448b Visualization (sundial-org/skills, 153 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
QwenLM (a GitHub organization) maintains it in QwenLM/qwen-code, which has 28,397 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 10, 2026.
Source: QwenLM/qwen-code on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.