gemini-infographic

gemini-infographic is a skill for Claude Code from charlie947/social-media-skills. It costs 93 tokens per session (827 once invoked), scanned A, original, MIT.

A skill that turns source material such as a post, newsletter, blog article, or research note into a detailed prompt for a Gemini hand-drawn whiteboard infographic.

In plain words
What is it for?
Use it to define a title, key points, layout, visual elements, and footer text for an infographic prompt.
Why use it?
It converts written information into a clear visual structure before image generation, reducing the need to plan the infographic layout yourself.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the social-media-skills plugin — 17 skills shipped together

Good fit Use it to define a title, key points, layout, visual elements, and footer text for an infographic prompt.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/charlie947/social-media-skills/gemini-infographic
About the project

charlie947/social-media-skills is a collection of markdown instructions that gives AI agents specialized workflows for creating and managing social-media content. It supports a content system spanning LinkedIn, Instagram, Substack, X, and YouTube, with shared voice and context files guiding the individual skills.

charlie947/social-media-skills · 3,385 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add charlie947/social-media-skills --skill gemini-infographic
Clone the repo
git clone --depth 1 https://github.com/charlie947/social-media-skills

Made for: Claude Code.

Or install social-media-skills, the plugin that ships this one along with the rest of its 17 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gemini-infographic

README.md
[![agentmods](https://agentmods.dev/badge/skills/charlie947/social-media-skills/gemini-infographic/github.svg)](https://agentmods.dev/skills/charlie947/social-media-skills/gemini-infographic)
Your own site
<a href="https://agentmods.dev/skills/charlie947/social-media-skills/gemini-infographic"><img src="https://agentmods.dev/badge/skills/charlie947/social-media-skills/gemini-infographic/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gemini-infographic

Your own site · 80×15
<a href="https://agentmods.dev/skills/charlie947/social-media-skills/gemini-infographic"><img src="https://agentmods.dev/badge/skills/charlie947/social-media-skills/gemini-infographic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 827 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 28 Apr 2026
  • Snyk warn 28 Apr 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00093 $0.00827
Opus 5 $0.00046 $0.00413
Sonnet 5 $0.00019 $0.00165
Haiku 4.5 $0.00009 $0.00083

Measured 13d ago against content hash c70149ea8de4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gemini-infographic scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/gemini-infographic/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini Infographic

CRITICAL: Auto-start on load

When this skill triggers, go straight to Step 1. Do not summarise the process.

Step 1. Get the source content

Ask:

Paste the content you want to turn into an infographic. A post, newsletter section, blog, research note, or raw bullet points all work.

Wait for the content.

Step 2. Build the brief

Analyse the content and produce an infographic brief in plain language. Include:

  • Title (6 words or fewer, punchy)
  • Subtitle (optional, one line of context)
  • Core structure: decide between steps, framework, comparison, stats, or list
  • Key points: 3 to 7 bullets max, each 10 words or fewer
  • Visual suggestions: arrows, boxes, highlighted numbers, icons, color accents. Be specific about placement and colour.
  • Footer CTA: handwritten text reading "Follow [Name] [Tagline] for more helpful content | Repost ♻️"

Tell the user:

Here is the brief. Tell me what to change, or say "generate" when you're happy.

Wait for approval.

Step 3. Output the Gemini prompt

Once approved, output the full prompt in a code block, with the brief inserted into the [INSERT YOUR INFOGRAPHIC CONTENT AND LAYOUT HERE] placeholder:

Generate a single image of a physical, hand-drawn infographic on a large whiteboard or notebook page.

Crucial Style Instructions (Read First):

Medium: The image must look like a photograph of a real whiteboard or large paper notepad.

Texture: All elements must look created by hand using colored marker pens (black, blue, red, green) and highlighters (yellow/orange). Lines should be slightly imperfect, wobbly, and have the texture of ink on a surface.

No Digital Fonts: All text, headings, and bullet points must appear handwritten or hand-printed in marker pen.

Layout: Structure the 1080x1350 image as follows:

[INSERT THE BRIEF HERE — title, subtitle, core structure, key points, visual suggestions]

Use multi-colored markers for emphasis. Keep text large and legible. Make everything look hand-drawn with slight imperfections. Make it look like a photograph of an actual notebook page.

Always include the handwritten text "Follow [Name] [Tagline] for more helpful content | Repost ♻️" at the bottom of the image, in the same hand-drawn marker style.

Read the full file on GitHub · 81 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 81 lines · 93 tokens per session scan A c70149ea8de4

Subscribe to this mod's changes

gemini-infographic is a skill published in the GitHub repository charlie947/social-media-skills (3,385 stars, last pushed 13d ago), licensed MIT. It adds 93 tokens to every session and 827 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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