ip-diagram-creator

ip-diagram-creator

Open-source agent skill that turns your personal IP into a reusable hand-drawn diagram character for articles, cards, and slides.

54/100MonitorFreeFree

One of the few AI-visual tools that reasons about structure before drawing — the character is locked first, content second, which is why the output stays recognizable across a whole article or deck. PPT director mode is the standout: page-type planning, character frequency, and a contact-sheet QA pass is work Canva's template model leaves you to do by hand. The honest cost is setup friction: you need an agent environment that reads images and can call an image generator, or you're pasting

Verified 3d ago · liveness 54/100 · cite: rightaichoice.com/tools/ip-diagram-creator

Best for
  • Personal IP owners who want one recognizable hand-drawn character across articles, social cards, and decks
  • Knowledge creators and educators turning methods, steps, and processes into branded knowledge cards
  • Course authors and consultants who need repeatable diagram templates hosted by their own character
  • Creators running full PPT decks for livestreams, courses, or talks who want deck-level pacing and QA
Not ideal for
  • Anyone wanting a GUI drag-and-drop diagram editor — this is an agent skill, not a visual canvas
  • Teams that need real-time collaboration, comments, or shared editing on diagrams
  • Users without an AI agent environment or unwilling to install a repo locally
Visit Website

IntermediateInstall via npx skills add (add -g for a global install) or drop the repo into your agent's skills directory and point the agent at SKILL.md — minutes if your agent is already configured. First usable character asset set takes one alignment round with the agent; a full PPT director plan adds another planning pass plus 1-2 sample pages before batch generation.CLINo public APIVerified 3d ago
Pricing
Free
FreeFree tier
Learning curve
Intermediate
Install via npx skills add (add -g for a global install) or drop the repo into your agent's skills directory and point the agent at SKILL.md — minutes if your agent is already configured. First usable character asset set takes one alignment round with the agent; a full PPT director plan adds another planning pass plus 1-2 sample pages before batch generation.
Runs on
CLI
No public API
Who it's for
Personal IP bloggerCourse authorSpeaker or livestream host
Live sentiment
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Skip it if

Skip ip-diagram-creator if you want a browser canvas with drag-and-drop shapes, a template gallery, or real-time team commenting rather than an agent skill you install and drive by conversation.

The 30-second take
Price reality

The whole skill is free under the MIT license — $0, no tiers, no seats, no usage caps. Your real cost is your AI agent environment and whatever image generation tool you call: the skill emits prompts for GPT Image 2, image_gen, or another generator, and you pay that tool directly. That puts it below paid design subscriptions, but only if you already run an agent that reads images.

In short

ip-diagram-creator — Open-source agent skill that turns your personal IP into a reusable hand-drawn diagram character for articles, cards, and slides. Best for Personal IP owners who want one recognizable hand-drawn character across articles, social cards, and decks, Knowledge creators and educators turning methods, steps, and processes into branded knowledge cards, Course authors and consultants who need repeatable diagram templates hosted by their own character. Free to use.

Viability Score

54/100
Monitor

How well maintained and how widely used is ip-diagram-creator? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
not measured
Site health
95
User sentiment
not measured
What the vendor publishes
20

Last calculated: October 2026

How we score →

Key Features

  • Three-piece character asset set: main anchor, specification sheet, action/expression variants
  • Accepts authorized photos, homepage screenshots, bios, or existing character profiles as input
  • Reads long articles, course outlines, scripts, or one-line opinions and recommends a shot list
  • Knowledge cards for methods, steps, processes, comparisons, cases, and risks
  • Hand-drawn illustrations for a single opinion, story scene, or metaphor
  • PPT director planning card covering page type, visual weight, and text-to-image ratio
  • Coordinates 2-6 execution agents in agent-collaborative diagram mode
  • Mode judgment: hand-drawn illustration vs. knowledge card vs. PPT presentation
  • Pre-generation confirmation card for type, size, copy, metaphor, and agent roles
  • Emits copyable prompts plus revision prompts to GPT Image 2, image_gen, or another generator
  • Builds 1-2 sample PPT pages and runs whole-deck QA via contact sheet
  • PPT page types: cover, big judgment, module, standard, scene, timeline, method, closing
  • Portrait mobile poster sizes for vertical social media
  • Customizable visual language, sizes, and prompt templates via references/ files
  • Install via npx skills add or by dropping the repo into your agent skills directory

About ip-diagram-creator

FreeIntermediateNo APICLI

ip-diagram-creator is an open-source agent skill (MIT, on GitHub: haloshin/ip-diagram-creator, 262 stars, 38 forks) that turns your personal IP into a consistent hand-drawn diagram character, then uses that character to illustrate your content. You feed it something you have the rights to use — a photo, a homepage screenshot, a bio, or an existing character profile — and it first locks a reusable visual identity: a main anchor image, a specification sheet, and action/expression variants that still read at small sizes. Only once the character is fixed does it touch your content. Long articles, course outlines, video scripts, or a single-sentence opinion get broken into a shot list, and the skill recommends how many images to make and which type before generating anything. Output falls into seven categories: the three-piece character asset set, content diagrams, agent-collaborative diagrams (2-6 execution agents take default roles for methods, steps, processes, comparisons, and risks), mode judgment (hand-drawn illustration vs. knowledge card vs. PPT), a pre-generation confirmation card, a PPT director planning card, and copyable prompts plus revision prompts. PPT mode is the deepest track — it plans whole-deck page types (cover, big judgment, module, standard, scene, timeline, method, closing), visual weight, text-to-image ratio, and character frequency, builds 1-2 sample pages, then batch-generates with a contact sheet for QA. It is built for individual IP owners, knowledge creators, course authors, and consultants who publish across several formats and want one recognizable character throughout — not for anyone wanting a drag-and-drop canvas or photorealistic portraits.

Behind the Verdict

Most content-illustration tools hand you a template grid and wish you luck. This one makes a bet: build a character first, then let the agent reason about how much of it each piece needs. We'd reach for it when a creator already has an IP and publishes in more than one format — a weekly essay, a course, a talk deck — because the payoff comes from reuse, not from any single image. When to pick it: you live inside an AI agent already, you're comfortable with npx skills add (or dropping the repo into your agent skills directory), and you want the character to survive at thumbnail size. The pre-generation confirmation card and shot-list step are the parts that save you from generating twelve images and hating nine. PPT mode is where it earns its keep — planning page types and visual weight before batch-generating, then checking the batch with a contact sheet, is a workflow most deck tools don't offer. When to pass: if you want a canvas you drag shapes around on, this isn't it — there is no GUI editor, no shared workspace, no comments. Nothing here is built for a team editing diagrams together. And it will not make you look photoreal: the README is explicit that it doesn't clone a real likeness and isn't for ID photos or commercial portrait shots. The practical caveat is your agent environment. If it can read images and call an image generator, the skill runs end to end. If it can't generate images, the skill still emits complete, copyable prompts for GPT Image 2, image_gen, or another generator, plus revision prompts — it won't pretend it rendered something. Budget for that gap. Closest alternative is Napkin AI or Canva if you just need a diagram now. Choose this instead when the point is your character showing up consistently across everything you publish.

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Real-world workflow fit

Concrete scenarios for the personas ip-diagram-creator actually fits — and what changes day-one when you adopt it.

Personal IP blogger

You upload an authorized photo, your homepage screenshot, and your bio, then ask the agent to align on character direction first — no images yet. Once the three-piece character asset set is confirmed, you paste a long article and ask how many images it recommends and of which types.

Outcome: A reusable character plus a shot list and finished hand-drawn illustrations or knowledge cards, so every post in the series shares one recognizable visual identity.

Course author

You feed a course outline and ask for a step-by-step method breakdown diagram in knowledge-card mode, then extend the same character to action/expression variants for smaller scene images inside the lessons.

Outcome: Repeatable diagram templates hosted by your own character, so new modules get illustrated without redesigning the visual language each time.

Speaker or livestream host

You provide a talk outline and ask for the full PPT director planning card first — page types, visual weight, text-to-image ratio, and character frequency — then approve 1-2 sample pages before batch generation.

Outcome: A complete deck of illustrated pages with consistent pacing, reviewed via contact-sheet QA rather than page-by-page guesswork.

Use Cases

Models Under the Hood

GPT Image 2

as of 2026-10-17

Limitations

  • Stated plainly in the README: it does not guarantee reproducing a real person's likeness and is not suited to ID photos, commercial portrait shots, or high-fidelity photorealism.
  • It will not work from unauthorized photos, someone else's homepage screenshots, private message screenshots, client material, or non-distributable reference images.
  • It does not replace human review for trademarks, portrait rights, platform rules, course sales, or pre-ad-placement checks.
  • Production depends on the environment: it runs best where the agent can read images, reason at higher intensity, and call an image generation tool — without generation capability the skill still outputs complete copyable prompts and revision prompts, but it will not pretend it rendered an image.
  • Setting it up means editing files (SKILL.md, references/, evals/), so it is developer-oriented rather than click-and-go.
  • Confirmed private character assets are deliberately excluded from the public skill package, so a shared library of your assets is not part of the distribution.

as of 2026-10-08

Verification history

We have re-verified ip-diagram-creator 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  2. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  3. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 10 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published ip-diagram-creator tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Open Source (MIT)

$0

Ideal for

Individual IP owners, knowledge creators, course authors, and consultants who already run an AI agent that reads images and can call an image generator.

What this tier adds

Starting tier — the only tier. Full MIT-licensed skill source, npx install, seven output categories, editable references/, and eval cases at $0.

Where the pricing makes sense

The company stage and team size where ip-diagram-creator's pricing actually pencils out — and where peers do it cheaper.

The whole skill is free under the MIT license — $0, no tiers, no seats, no usage caps. Your real cost is your AI agent environment and whatever image generation tool you call: the skill emits prompts for GPT Image 2, image_gen, or another generator, and you pay that tool directly. That puts it below paid design subscriptions, but only if you already run an agent that reads images.

Setup time & first value

How long it actually takes to get something useful out of ip-diagram-creator — broken out by persona, not the marketing-page minute.

Install via npx skills add (add -g for a global install) or drop the repo into your agent's skills directory and point the agent at SKILL.md — minutes if your agent is already configured. First usable character asset set takes one alignment round with the agent; a full PPT director plan adds another planning pass plus 1-2 sample pages before batch generation.

Switching to or from ip-diagram-creator

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From a template gallery tool like Canva: export or rewrite your visual language into references/visual-language.md, then rebuild the character as a three-piece asset set.
  • →From a one-off avatar generator: supply the existing avatar plus a bio and homepage screenshot so the skill can lock the anchor image and specification sheet.
  • →From manual prompting per image: move your repeated style and size instructions into references/modes-and-sizes.md and ppt-presentation-mode.md.
Migrating out
  • ↗To Canva or Napkin AI: take your finished image set and your character asset set, since those tools give you a GUI canvas and template library instead of an agent workflow.
  • ↗To a custom in-house pipeline: the MIT license and the references/ prompt templates let you lift the visual language rules and mode logic into your own tooling.
  • ↗To direct image-generator use: keep the copyable prompts and revision prompts the skill emits and drive GPT Image 2 or image_gen yourself, losing the shot-list and QA structure.

Resources & Guides

Tutorials & Learning

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Tools that pair well with ip-diagram-creator

Common stack mates teams adopt alongside ip-diagram-creator, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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