A workflow for creating presentation slides and illustrations as generated images, then reviewing and editing them in a browser.

It is for making presentations, lecture decks, research figures, architecture diagrams, and other visual illustrations.

It helps turn an outline or document into visual slides and makes it possible to adjust individual slides after review.

nano-banana — Skill for Claude Code by CamusGIT

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 CamusGIT/EvoQuant --skill nano-banana

Clone the repo

git clone --depth 1 https://github.com/CamusGIT/EvoQuant

Made for: Claude Code.

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/camusgit/evoquant/nano-banana.svg)](https://agentmods.dev/skills/camusgit/evoquant/nano-banana)

Your own site

<a href="https://agentmods.dev/skills/camusgit/evoquant/nano-banana"><img src="https://agentmods.dev/badge/skills/camusgit/evoquant/nano-banana.svg" alt="Measured on agentmods" height="20"></a>

Per session 128 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,257 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.

Origin 95% 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.

Model	Per session	Once invoked
Fable 5.1	$0.00128	$0.03257
Opus 5	$0.00064	$0.01629
Sonnet 5	$0.00026	$0.00651
Haiku 4.5	$0.00013	$0.00326

Measured 8d ago against content hash 093694d46fde, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

nano-banana 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 8d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/edit_slide.py, scripts/generate_ppt.py, scripts/package_pptx.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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

95% identical to nano-banana — 22 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.

EvoQuant/skills/nano-banana/SKILL.md · 329 lines

How it starts

The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Nano Banana

Generate high-quality presentation slides as images using Gemini's image generation API, review them interactively in a browser, and iteratively edit based on feedback.

When to Use This Skill

User asks to create a presentation, slide deck, or PPT
User wants to generate visual slides for a talk or lecture
User has a document or outline and wants slides based on it
User says "make me a PPT", "generate slides", "create a presentation"
User wants to edit or refine existing generated slides
User needs high-quality figures, diagrams, or illustrations for papers or documents
User asks to generate research figures, architecture diagrams, or concept illustrations

Do NOT use for:

Writing academic papers → use paper-writing
Planning academic conference talk narrative structure → use academic-slides

Before You Start: Prerequisites

Before proceeding with any slide generation, verify these prerequisites:

API Key: Check that a Google API key is available. Run:
```
echo $GOOGLE_API_KEY
```
If empty, ask the user to provide one. They can either:
- Set it via config: EvoQuant config set google_api_key <key>
- Provide it directly (pass via --api-key argument)
- If the user provides the key in conversation, pass it to scripts with --api-key
Language: Ask the user what language the slide content should be in. This affects the content you write in slides_plan.json, not the style template.

Core Workflow

Phase 1: Content Planning Conversation     ← most important phase
Phase 2: Generate slides_plan.json
Phase 3: Select Style & Generate Slides
Phase 4: Launch Review Server
Phase 5: Apply Feedback Edits              ← repeat Phase 4-5 until satisfied
Phase 6: Package as PPTX
Phase 7: Cleanup

Follow these phases in order. Do NOT skip Phase 1 — the quality of generated slides depends directly on planning depth.

Phase 1: Content Planning Conversation

This is the most critical phase. Rushing to generation without proper planning produces mediocre slides. Engage the user in a structured conversation:

Read the full file on GitHub · 329 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

8d ago First seen · 329 lines · 128 tokens per session scan A 093694d46fde

Subscribe to this mod's changes

nano-banana is a skill published in the GitHub repository CamusGIT/EvoQuant (212 stars, last pushed 5d ago), licensed Apache-2.0. It adds 128 tokens to every session and 3,257 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to nano-banana, differing in 22 lines, and is treated as a copy.

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