gemini-carousel

gemini-carousel is a skill for Claude Code, Codex from Freespirits/social-auto-engine. It costs 92 tokens per session (976 once invoked), scanned A, a copy of gemini-carousel, MIT.

A workflow for turning source material into a branded LinkedIn carousel: a series of vertical slides designed to be viewed in order. It creates a design brief and then image-generation prompts for each slide using Gemini.

In plain words
What is it for?
Use it to turn a post, newsletter, research notes, or framework into a six-, eight-, or ten-slide LinkedIn carousel with a chosen brand style.
Why use it?
It gives you a defined process for shaping written material into a consistent visual post before generating the slide prompts.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

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.

agentmods
npx agentmods add skills/freespirits/social-auto-engine/gemini-carousel
Any agent
npx skills add Freespirits/social-auto-engine --skill gemini-carousel
Clone the repo
git clone --depth 1 https://github.com/Freespirits/social-auto-engine

Made for: Claude Code, Codex.

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-carousel

README.md
[![agentmods](https://agentmods.dev/badge/skills/freespirits/social-auto-engine/gemini-carousel.svg)](https://agentmods.dev/skills/freespirits/social-auto-engine/gemini-carousel)
Your own site
<a href="https://agentmods.dev/skills/freespirits/social-auto-engine/gemini-carousel"><img src="https://agentmods.dev/badge/skills/freespirits/social-auto-engine/gemini-carousel.svg" alt="Measured on agentmods" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 976 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00092 $0.00976
Opus 5 $0.00046 $0.00488
Sonnet 5 $0.00018 $0.00195
Haiku 4.5 $0.00009 $0.00098

Measured 6d ago against content hash cc0bf2a52d41, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

gemini-carousel 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 6d 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

This is a copy

100% identical to gemini-carousel — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/gemini-carousel/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CRITICAL: Auto-start on load

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

Step 1. Gather inputs

Ask:

Paste the content you want in the carousel. A post, section of a newsletter, research notes, or a framework all work.

Wait for the content, then call AskUserQuestion:

[
  {
    "question": "Brand style?",
    "header": "Style",
    "multiSelect": false,
    "options": [
      {"label": "Pull from brand-kit.md", "description": "Use the colours and typography in my project brand file"},
      {"label": "I will type brand colours", "description": "I will paste hex codes and font preferences"},
      {"label": "Suggest for me", "description": "Pick a palette and typography based on the content"}
    ]
  },
  {
    "question": "Number of slides?",
    "header": "Slides",
    "multiSelect": false,
    "options": [
      {"label": "6 slides", "description": "Concise, fast read"},
      {"label": "8 slides", "description": "Standard carousel length"},
      {"label": "10 slides", "description": "Deep-dive carousel"}
    ]
  }
]

Step 2. Build the design brief

Analyse the content and produce a slide-by-slide brief with:

  • Slide 1 (Cover): hook, large bold text, visual direction
  • Slides 2 to N-1 (Body): one idea per slide, max 15 words per slide, visual suggestion
  • Slide N (CTA): repost ask, name, link or offer

For each slide include:

  • Slide number
  • Headline (max 8 words)
  • Body text (max 15 words)
  • Visual suggestion (icon, colour block, illustration, diagram)

Tell the user:

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

Wait for approval. Do not proceed until the user explicitly approves.

Step 3. Output per-slide prompts

Once approved, output one Gemini image generation prompt per slide, each in its own code block, numbered clearly.

Every prompt follows this structure:

Act as an expert graphic designer. Create a LinkedIn carousel slide at 1080x1350 pixels (4:5 aspect ratio).

Brand style:
- Primary colour: [HEX]
- Secondary colour: [HEX]
- Accent colour: [HEX]
- Typography: [bold industrial headline font, clean geometric body font]
- Aesthetic: modern, authoritative, high contrast

Slide [N of M]: [slide purpose]

Content:
- Headline: "[headline text]"
- Body: "[body text]"
- Visual element: [specific visual suggestion]

Layout instructions:
- [Headline placement and size]
- [Body placement and size]
- [Visual placement]
- [Background treatment]

Constraints:
- Vertical 4:5 aspect ratio at exactly 1080x1350 pixels
- No watermarks, no logos unless specified above
- Maintain visual consistency with the other slides in the set

Read the full file on GitHub · 122 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. 6d ago First seen · 122 lines · 92 tokens per session scan A cc0bf2a52d41

Subscribe to this mod's changes

gemini-carousel is a skill published in the GitHub repository Freespirits/social-auto-engine (23 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 976 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gemini-carousel, differing in 0 lines, and is treated as a copy.