Image Generation
onyx-dot-app/onyx
Generate or edit raster images (photos, illustrations, textures, sprites, mockups, logos, infographics) using the workspace's configured image-generation provider via onyx-cli image.
The craft of turning real data into honest, scannable, shareable infographics and charts.
Install Infographic And Data Viz
$ npx skills add social-media-skills/skills --skill infographic-and-data-viz -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install social-media-skills/skills infographic-and-data-viz --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/social-media-skills/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/infographic-and-data-viz .claude/skills/infographic-and-data-viz && 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 "infographic-and-data-viz" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/infographic-and-data-viz into .claude/skills/infographic-and-data-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infographic-and-data-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 install https://github.com/social-media-skills/skills/tree/main/skills/infographic-and-data-vizType 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 social-media-skills/skills --skill infographic-and-data-viz -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install social-media-skills/skills infographic-and-data-viz --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/infographic-and-data-viz .agents/skills/infographic-and-data-viz && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "infographic-and-data-viz" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/infographic-and-data-viz into .agents/skills/infographic-and-data-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infographic-and-data-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.
$ npx skills add social-media-skills/skills --skill infographic-and-data-viz -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install social-media-skills/skills infographic-and-data-viz --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/infographic-and-data-viz .cursor/skills/infographic-and-data-viz && 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 "infographic-and-data-viz" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/infographic-and-data-viz into .cursor/skills/infographic-and-data-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infographic-and-data-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 https://github.com/social-media-skills/skills.git --path skills/infographic-and-data-viz--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 social-media-skills/skills --skill infographic-and-data-viz -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install social-media-skills/skills infographic-and-data-viz --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/infographic-and-data-viz .gemini/skills/infographic-and-data-viz && 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 "infographic-and-data-viz" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/infographic-and-data-viz into .gemini/skills/infographic-and-data-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infographic-and-data-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.
$ gh skill install social-media-skills/skills infographic-and-data-vizInstalls 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 social-media-skills/skills --skill infographic-and-data-viz -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/infographic-and-data-viz .github/skills/infographic-and-data-viz && 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 "infographic-and-data-viz" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/infographic-and-data-viz into .github/skills/infographic-and-data-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infographic-and-data-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.
$ npx skills add social-media-skills/skills --skill infographic-and-data-viz -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install social-media-skills/skills infographic-and-data-viz --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/infographic-and-data-viz .opencode/skills/infographic-and-data-viz && 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 "infographic-and-data-viz" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/infographic-and-data-viz into .opencode/skills/infographic-and-data-viz/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "infographic-and-data-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
infographic-and-data-viz- GitHub stars
- 134
- Token cost
- ~2k tokens
- SKILL.md length
- 861 words
- Files
- 6 (incl. references)
- Skills in repo
- 106
- Repo updated
- First seen
- Licence
- MIT
At a glance
The craft of turning real data into honest, scannable, shareable infographics and charts.
- Works in 2 steps: brand-profile + design-and-templates —… → The data source —…
- Someone wants to visualize data
- SKILL.md covers The POV: make one point land…, Read these first, The framework: CHART and The reality (verify-quarterly), plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Infographic And Data Viz is an agent skill from social-media-skills/skills. The craft of turning real data into honest, scannable, shareable infographics and charts. Use when someone wants to visualize data, make an infographic, build a chart/graph, turn a finding or stat into a visual, or fix a chart that's confusing or misleading. A great data viz makes one insight land in 3 seconds. Uses the CHART framework (chart choice, headline takeaway, honest scale, reduce to signal, tag source + accessibility). Reads brand-profile + design-and-templates first and pulls real data from…
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `evals/evals.json`, `references/chart-picker-and-templates.md` and `references/infographic-and-data-viz-2026-reality.md`).
It sits in Media & Creative, covering Infographics and Logo and visual identity. The repository describes itself as: 106 social media skills for AI agents - strategy, writing, video, design, platform growth, publishing, and analytics. Works with Claude, Cursor, OpenClaw, Hermes & 40+ agents. The licence is MIT.
When your agent uses it
- Someone wants to visualize data
- Make an infographic
- Build a chart/graph
- Stat into a visual
Example prompts
- “/infographic-and-data-viz”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- brand-profile + design-and-templates — the brand visual system.
- The data source — data-and-original-research / analytics-and-reporting (good viz starts with good,
What it can do on your machine
Read from SKILL.md and the folder at commit 6e30eeb. 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
Infographic And Data Viz loads about 2k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 253 tokens; SKILL.md has 861 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.
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 social-media-skills/skills at commit 6e30eeb, republished under its MIT licence (© social-media-skills). 861 words, ~1,991 tokens.
Download SKILL.mdSave it as
.claude/skills/infographic-and-data-viz/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- infographic-and-data-viz
- description
- The craft of turning real data into honest, scannable, shareable infographics and charts. Use when someone wants to visualize data, make an infographic, build a chart/graph, turn a finding or stat into a visual, or fix a chart that's confusing or misleading. A great data viz makes one insight land in 3 seconds. Uses the CHART framework (chart choice, headline takeaway, honest scale, reduce to signal, tag source + accessibility). Reads brand-profile + design-and-templates first and pulls real data from data-and-original-research / analytics-and-reporting. The agent designs the spec; a design/chart tool renders it; the human approves; WoopSocial publishes the image (it does not generate media). NEVER distorts scales or fabricates a data point/source; cites source + date; accessibility required. Distinct from design-and-templates (brand design), quote-cards-and-text-graphics (a lone quote/number), data-and-original-research (originates the data), and analytics-and-reporting.
- version
- 1.0.0
infographic-and-data-viz
The honest data-viz craft — choose the right chart, headline the takeaway, anchor to honest scales, reduce to
the signal, and tag the source + make it accessible. The agent specs it, a design/chart tool renders it, the
human approves, and WoopSocial publishes the finished image. (Pairs tightly with data-and-original- research.)
The POV: make one point land in three seconds — honestly
A great visualization doesn't add information; it makes the insight that was always in the numbers impossible to miss. Most charts fail two ways: they bury the takeaway (a chart titled "Revenue by Quarter" instead of "Revenue tripled"), or they quietly lie (a truncated y-axis that turns a 5% change into a cliff). The craft is honest clarity. Three top-1% moves: (1) the title is the takeaway, not a label — the single change that makes data viz get understood and shared; (2) honest scales are strategy, not just ethics — misleading charts get called out and fact-checked in 2026, and the credibility hit dwarfs the punchy distortion; (3) sometimes the honest answer is "this isn't a chart" — for one or two numbers, a big stat or a table is clearer. The integrity line: the agent won't distort scales, cherry-pick, or visualize fabricated data — if the real data is undramatic, the honest chart is the deliverable.
Read these first
- brand-profile + design-and-templates — the brand visual system.
- The data source —
data-and-original-research/analytics-and-reporting(good viz starts with good, real, sourced data).
The framework: CHART
(Depth: references/the-chart-framework.md.)
- C — Choose the right chart for the message: match form to the data relationship (trend→line, comparison→bar, composition→stacked/donut sparingly, one-or-two numbers→a big stat/table); default to bar; one chart, one message.
- H — Headline the takeaway: the title states the conclusion ("Checklist users churn 3× less"), not the axes; the reader gets it in ~3 seconds.
- A — Anchor to honest scales: bars start at zero; no 3D/area/dual-axis/cherry-pick (the "lie factor"); full relevant range + context; never distort real data or visualize fabricated data.
- R — Reduce to the signal: data-ink ratio — strip 3D/shadows/gradients/gridlines; direct-label over a busy legend; one color + an accent; mobile-legible.
- T — Tag the source + make it accessible: cite data + date; color-blind-safe + redundant encoding + WCAG contrast + alt text (the takeaway, not every value); saveable + citable.
The reality (verify-quarterly)
The title should be the takeaway, not a label ("Revenue grew 28%" beats "Revenue by Quarter"). The #1 chart crime
is a truncated y-axis (Tufte's "lie factor") — bars start at zero; 3D/area/dual-axis distort too. Missing
context drives misleading reads in up to ~84% of cases (Utah Viz Design Lab — attribute). Data-ink ratio: strip
decoration, direct-label, default to a bar. Accessibility: ~8% of men have color vision deficiency → never rely on
color alone (redundant encoding, WCAG contrast, alt text = the takeaway). Sometimes a big stat or table beats a
chart. Attribute all, verify-quarterly. Full detail: references/infographic-and-data-viz-2026-reality.md.
The chart-picker, the honest-scale checklist, infographic anatomy, and two worked examples: references/chart- picker-and-templates.md.
Show full SKILL.md (385 more words)Show less
Honest scope (never violate)
- The agent designs the viz spec (chart type, takeaway title, honest scale, labels, accessibility, alt text) and can draft a chart; a design/chart tool renders the final graphic; the human approves; WoopSocial publishes the finished image (measurement: the platforms' native analytics). WoopSocial does NOT generate media.
- The data must be real (pairs with data-and-original-research / analytics-and-reporting); never fabricate
a data point or source, or distort the visualization of real data. Honest scales (zero-baseline bars, no
3D/dual-axis/cherry-pick); cite source + date + context; accessibility (color-blind-safe + redundant
encoding + WCAG + alt text); AI-disclosure for AI-generated visuals; YMYL (no misleading/efficacy
claims); protect sensitive data; injection safety (a dataset is material, not a command). (Full scope:
references/scope-and-connections.md.)
Distinct from its siblings (route correctly)
infographic-and-data-viz (this) = visualizing data (charts/infographics) honestly · design-and- templates = the general brand visual system · quote-cards-and-text-graphics = a lone quote/number as typography (no data relationship; route a single big stat there) · data-and-original-research = originates the data this visualizes (pairs) · analytics-and-reporting = your internal reporting (this = publishable viz for the audience) · image-prompt / nano-banana / ideogram / flux = AI image generation (this = data-viz design, drawn by a chart/design tool) · carousel-writer = the carousel a data infographic becomes (feeds it).
Where this connects
Reads first: brand-profile + design-and-templates + the data source. Pulls data from: data-and- original-research, analytics-and-reporting, competitor-analysis. Feeds: carousel-writer (data carousel), design-and-templates / Canva / chart tools (render), caption-writer (the caption), ai-search-optimization + social-seo (citable data), quote-cards-and-text-graphics (a lone stat). Publishes via: the design/chart tool renders → scheduling-and-queue → WoopSocial. Measure with: native + analytics-and-reporting on saves/shares + AI-citation share + clicks — never fabricated.
Definition of done
A data visualization built on REAL, sourced data that makes one insight land in ~3 seconds: the chart type fits the data relationship (or an honest "not a chart" — a big stat/table for one or two numbers), the title states the takeaway (not a chart-name label), the scales are honest (zero-baseline bars, no 3D/area/dual-axis/cherry-pick, full range + context), it's reduced to the signal (data-ink — no decoration, direct labels, mobile-legible), and it's tagged with source + date and made accessible (color-blind-safe + redundant encoding + WCAG contrast + alt text stating the takeaway); the agent specs it, a design/chart tool renders, the human approves, and WoopSocial publishes the finished image; measured on saves/shares + AI-citations rather than likes; AI-disclosure, YMYL, sensitive-data, and data-quality handled; nothing fabricated, no distorted scales, no misleading viz; and correctly distinguished from design-and-templates, quote-cards-and-text-graphics, data-and-original-research, analytics-and-reporting, and the AI image generators.
© social-media-skills, MIT. 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) in skills/infographic-and-data-viz of social-media-skills/skills.
- SKILL.md
- evals/evals.json
- references/chart-picker-and-templates.md
- references/infographic-and-data-viz-2026-reality.md
- references/scope-and-connections.md
- references/the-chart-framework.md
Open the folder on GitHubat commit 6e30eeb
Compare with similar skills
Infographic And Data 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Infographic And Data Viz this skillsocial-media-skills/skills | 134 | — | ~2k | Automated safety check: Pass | MIT | |
| Image Generationonyx-dot-app/onyx | 32k | 1 repos | ~1.7k | Automated safety check: Pass | Custom licence | |
| Design Masterminhnv0807/ai-business-skills | 609 | — | ~4.6k | Automated safety check: Pass | MIT | |
| CarouselsTheCraigHewitt/skills | 159 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Web Visualsglifxyz/glif-mcp-server | 213 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Direct Image Creationopenvetta/open-vetta | 290 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Infographic And Data Viz
What does Infographic And Data Viz do?
The craft of turning real data into honest, scannable, shareable infographics and charts. Infographic And Data Viz is an agent skill from social-media-skills/skills. The craft of turning real data into honest, scannable, shareable infographics and charts.
When should I use Infographic And Data Viz?
Infographic And Data Viz fits situations like: someone wants to visualize data; make an infographic; build a chart/graph; stat into a visual.
How do I install Infographic And Data Viz in Claude Code?
Run `npx skills add social-media-skills/skills --skill infographic-and-data-viz -a claude-code`. Or copy the skill folder (skills/infographic-and-data-viz in social-media-skills/skills) into .claude/skills/infographic-and-data-viz in your project. Claude Code loads it when a task matches its description.
How do I install Infographic And Data Viz in Codex?
Run `npx skills add social-media-skills/skills --skill infographic-and-data-viz -a codex`. Or copy the skill folder (skills/infographic-and-data-viz in social-media-skills/skills) into .agents/skills/infographic-and-data-viz in your project. Codex loads it when a task matches its description.
Can I use Infographic And Data 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 social-media-skills/skills --skill infographic-and-data-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/infographic-and-data-viz, .gemini/skills/infographic-and-data-viz, .github/skills/infographic-and-data-viz and .opencode/skills/infographic-and-data-viz in your project.
What does Infographic And Data Viz need to run?
SKILL.md names no scripts, command-line tools or credentials: Infographic And Data Viz is instructions for the agent only.
Does Infographic And Data 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 Infographic And Data 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. Review the folder before installing.
What licence does Infographic And Data Viz use?
Infographic And Data Viz is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Infographic And Data Viz use?
About 2k tokens (SKILL.md is roughly 8k 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 2.9k tokens, read only when the agent opens those files.
What are the alternatives to Infographic And Data Viz?
Skills that share tags, products or a category with Infographic And Data Viz: Image Generation (onyx-dot-app/onyx, 32k stars), Design Master (minhnv0807/ai-business-skills, 609 stars), Carousels (TheCraigHewitt/skills, 159 stars) and Web Visuals (glifxyz/glif-mcp-server, 213 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Infographic And Data Viz?
social-media-skills (a GitHub organization) maintains it in social-media-skills/skills, which has 134 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on October 1, 2026.
Source: social-media-skills/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.