nano-tech-diagrams

nano-tech-diagrams is a skill for Claude Code from danielrosehill/Claude-Image-Production-Plugin. It costs 47 tokens per session (1,424 once invoked), scanned A, original, MIT.

A tool for creating and editing technology diagrams with an AI image service. It supports text or image input, whiteboard cleanup, and more than 28 visual styles.

In plain words
What is it for?
Use it to make architecture diagrams, technical illustrations, cleaned-up whiteboards, or styled diagram variations.
Why use it?
It helps turn descriptions or existing images into diagrams without requiring every visual change to be drawn manually.

Skill for Claude Code

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

Part of the image-production plugin — 29 skills, 19 commands shipped together

Good fit Use it to make architecture diagrams, technical illustrations, cleaned-up whiteboards, or styled diagram variations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielrosehill/claude-image-production-plugin/nano-tech-diagrams
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 nano-tech-diagrams
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.

agentmods badge for nano-tech-diagrams

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/nano-tech-diagrams/github.svg)](https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/nano-tech-diagrams)
Your own site
<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/nano-tech-diagrams"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/nano-tech-diagrams/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 nano-tech-diagrams

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielrosehill/claude-image-production-plugin/nano-tech-diagrams"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-image-production-plugin/nano-tech-diagrams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,424 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.01424
Opus 5 $0.00023 $0.00712
Sonnet 5 $0.00009 $0.00285
Haiku 4.5 $0.00005 $0.00142

Measured 11d ago against content hash 163105235f0b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

nano-tech-diagrams 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 11d 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.

2. **Upload**: `curl -sSf -X PUT -T /local/path/to/image.jpg "<put-url>"`
skills/nano-tech-diagrams/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Nano Tech Diagrams

This skill uses the nano-tech-diagrams MCP server to create and transform tech diagrams using Fal AI's Nano Banana 2 model.

MCP Server Location

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

Do not use jungle-local. Its schema claims to accept local filesystem paths, but the process runs in an environment that cannot read the workstation's filesystem, so every local-path call fails with ENOENT. The shared instance plus the staging endpoint below is the supported path.

File Staging (CRITICAL)

The MCP server cannot read workstation file paths directly. For any tool that accepts an image_path parameter with a local file, stage it to the residence S3 (personal-transient bucket, via the minio MCP) and pass the presigned GET URL as image_path — the MCP accepts http(s) URLs directly.

Staging workflow:

  1. Presign a PUT URL: minio__presign_url(bucket="personal-transient", key="staging/image.jpg", method="put")
  2. Upload: curl -sSf -X PUT -T /local/path/to/image.jpg "<put-url>"
  3. Presign a GET URL for the same key (method="get") and pass it as image_path to the MCP tool.
  4. Objects auto-expire after 1 day (bucket lifecycle); presigned URL TTL defaults to 1 hour (expires param to override).

Batch staging:

For multiple files, repeat the presign-PUT/curl/presign-GET cycle per file (presign calls can be batched), collect the URLs, then call the MCP tools.

When staging is NOT needed:

  • text_to_image — no input image required
  • When image_path is already an http:// or https:// URL (Fal media, any public host)

Saving output to the workstation

The MCP returns a fal.media URL. Do not rely on the download_to parameter — it writes to the residencehome process's filesystem, not the workstation. Download the returned URL yourself:

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

Available Tools

Tool Purpose
list_styles Show all 28+ visual style presets (key, name, category, default aspect ratio)
list_diagram_types Show all diagram type presets (network, flowchart, mind map, etc.)
whiteboard_cleanup Clean up a whiteboard photo into a polished diagram
image_to_image Transform an existing image into a styled tech diagram
text_to_image Generate a diagram from a text description (no input image)

Read the full file on GitHub · 104 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. 11d ago First seen · 104 lines · 47 tokens per session scan A 163105235f0b

Subscribe to this mod's changes

nano-tech-diagrams is a skill published in the GitHub repository danielrosehill/Claude-Image-Production-Plugin (17 stars, last pushed 24d ago), licensed MIT. It adds 47 tokens to every session and 1,424 once invoked, about $0.0002 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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