An image-generation helper for creating banners, illustrations, social cards, hero images, and other graphics from written instructions. It uses Fal AI’s Nano Banana 2 model and saves the result as an image file.

Use it to make website hero images, banners, social-media cards, avatars, README artwork, and similar graphics.

It removes the need to create these graphics manually or work out the image-generation steps yourself. It also guides the output toward a suitable shape and file format for the intended use.

ai-graphics — Skill for Claude Code by danielrosehill

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 danielrosehill/Claude-Image-Production-Plugin --skill ai-graphics

Clone the repo

git clone --depth 1 https://github.com/danielrosehill/Claude-Image-Production-Plugin

Made for: Claude Code.

Or install image-production, the plugin that ships this one along with the rest of its 29 skills, 19 commands.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/ai-graphics/github.svg)](https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/ai-graphics)

Your own site

<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/ai-graphics"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/ai-graphics/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/ai-graphics"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/ai-graphics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 996 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

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.

Model	Per session	Once invoked
Fable 5.1	$0.00062	$0.00996
Opus 5	$0.00031	$0.00498
Sonnet 5	$0.00012	$0.00199
Haiku 4.5	$0.00006	$0.00100

Measured 10d ago against content hash cab81a8e1660, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ai-graphics scanned grade A with 1 finding 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 10d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sSL -o "/absolute/target/path.png" "<fal.media URL>"

skills/ai-graphics/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.

AI Graphics

Generate AI graphics — banners, hero images, illustrations, social cards, README artwork — using Fal AI's Nano Banana 2 model via the nano-tech-diagrams MCP server.

MCP Server Location

Always use mcp__jungle-shared__nano-tech-diagrams__* (runs on residencehome).

Do not use jungle-local — it claims to accept local filesystem paths but runs in an environment that cannot read the workstation's filesystem, so every local-path call fails with ENOENT. The shared instance is the working path; pair it with the staging endpoint below for any image input.

Hard rules

Always use resolution: "1K". Do not use 0.5K, 2K, or 4K unless the user explicitly overrides. 1K is the standard for this workflow.
Pick an appropriate aspect_ratio for the use case:
- Banners / hero images: 21:9 or 16:9
- Social cards / OG images: 16:9
- Square avatars / icons: 1:1
- Portraits: 2:3 or 9:16
Save to a sensible path using download_to (e.g., assets/banner.png, images/hero.png) — don't just leave the fal.media URL floating.
Default output_format to png unless the user asks otherwise.

Prompt style

Nano Banana 2 rewards detailed, descriptive prompts. Include:

Subject and pose
Setting / background
Lighting and mood
Color palette
Style descriptors (e.g., "polished digital illustration", "cinematic", "flat vector", "watercolor")
Intended use (e.g., "suitable for a GitHub repository banner")

Keep prompts one dense paragraph rather than a bullet list.

Procedure: text-to-image

Confirm subject, vibe, aspect ratio with the user if unclear.
Ensure the target directory exists (mkdir -p via Bash).
Call mcp__gateway__nano-tech-diagrams__text_to_image with the prompt, aspect ratio, and output_format.
The MCP returns a fal.media URL. Do not rely on the MCP's download_to parameter — the residencehome process cannot write to the workstation filesystem. Instead, capture the URL and download it yourself:
```
curl -sSL -o "/absolute/target/path.png" "<fal.media URL>"
```
Report the local path to the user.

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.

10d ago First seen · 81 lines · 62 tokens per session scan A cab81a8e1660

Subscribe to this mod's changes

ai-graphics is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (16 stars, last pushed 23d ago), licensed MIT. It adds 62 tokens to every session and 996 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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