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Gridgeist

Community
ohmiler
gridgeist

Use when creating, redesigning, or reviewing web interfaces that need product-specific structure, clear hierarchy, responsive composition, accessible interaction, or relief from generic AI-generated SaaS aesthetics. Adapt grid, typography, imagery, motion, and product evidence to the established brand—including technical, editorial, image-led, warm, playful, and utilitarian directions—across React, Next.js, Tailwind CSS, HTML/CSS, landing pages, dashboards, documentation, portfolios, and interactive tools.

Overview

Publisherohmiler
Repositorygridgeist
Skill namegridgeist
Stars
115
Forks
8
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ohmiler on GitHub. Read the source before you install it.

Installation

Install the Gridgeist AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ohmiler/gridgeist/tree/main/skills/gridgeist
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ohmiler/gridgeist.git /tmp/gridgeist
mkdir -p .claude/skills
cp -r /tmp/gridgeist/skills/gridgeist .claude/skills/gridgeist
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gridgeist in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Gridgeist on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gridgeist is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Gridgeist

Overview

Craft distinctive, product-native interfaces from audience, content, behavior, and brand intent. Use grid as structural logic; make it visible only when it serves the product.

Select a mode

Intent and authorizationModeStart with
Build an interface without an existing designCreateAudience, primary task, content, and evidence
Change an existing interface with permission to editRedesignPreserved behavior, brand signals, and state inventory
Diagnose without changing filesReviewPrioritized findings grounded in rendered evidence

Let user authorization determine whether files change. Permission to redesign does not authorize choosing among materially different visual theses. Derive direction from explicit user intent or established brand evidence; audience, task, product category, and content may inform hierarchy but do not alone confirm a visual thesis. Use the alignment gate below whenever thesis-level ambiguity remains.

Workflow

  1. Inspect — Understand the audience, primary tasks, brand signals, content, product evidence, routes, components, tokens, and rendered desktop/mobile UI. Inspect existing design-system sources, including DESIGN.md when present, and reconcile them with the implementation and rendered evidence rather than assuming they agree. Inventory important interaction states and constraints. Do not invent customers, metrics, outcomes, research, or compliance.
    • Align direction before editing — Classify the direction as user-confirmed, brand-derived, or provisional. Treat a coherent user direction as confirmed even when it leaves implementation choices open; variations within the same thesis are not material ambiguity. Classify a direction as brand-derived only when existing visual implementation, assets, documented rules, or repeated brand conventions converge on one thesis; product subject matter or copy alone is not enough. When a broad Create or Redesign still supports materially different theses that would change core brand expression, hierarchy, imagery, color, or motion, offer two or three evidence-grounded directions with trade-offs and a recommendation, then ask the user to choose or authorize the recommendation. While the direction is provisional, do not define the replacement system or edit implementation files. Proceed without redundant questions when intent or coherent brand evidence is clear. Do not block Review or narrow repairs; label an unconfirmed Review replacement direction provisional.
    • Hard stop for provisional broad work — A provisional direction is not an implementable direction. End the turn after the options, trade-offs, recommendation, and alignment question. Do not set a thesis, read the system contract, create tokens, edit files, start implementation, or verify a redesign until the user selects a direction or explicitly authorizes the recommendation.
  2. Set a thesis — Write one governing sentence combining audience, primary task, structural logic, brand expression, and a product-native motif. Read design-language.md before choosing the direction, especially for image-led, warm, playful, or otherwise nontechnical brands.
  3. Define the system — Read system-contract.md before making new or changed system decisions. Establish the relevant color, typography, layout, spacing, shape, surface, component, state, media, motion, and responsive rules as one compact contract. Decide whether the grid should be visible, quiet, or invisible. Reuse semantic tokens and existing primitives; keep narrow repairs proportional and do not create a persistent design artifact unless authorized.
  4. Compose — Build hierarchy before detail. Make one area dominant, align related content, vary sections within shared logic, and let the most authentic material—product UI, data, prose, imagery, artwork, code, or the primary tool—carry visual weight.
  5. Implement — Preserve required behavior and states. Follow repository conventions, semantic HTML, keyboard and touch behavior, and existing primitives. Recompose mobile layouts rather than shrinking desktop. Avoid dependencies for simple CSS effects.
  6. Verify — Use review-checklist.md. Render representative widths and exercise primary flows, states, focus behavior, reduced motion, overflow, and dynamic content. Fix clarity and hierarchy before polish. Report what was observed separately from what remains inferred or untested.

For interactive products, inventory at least default, loading, empty, error, success, disabled, and destructive states when applicable. Preserve privacy, safety, data, and platform constraints as product behavior, not optional polish.

Coordinate companions

  • Keep Gridgeist as the sole owner of product and visual direction. Do not automatically combine it with another broad frontend-design or art-direction skill. If the user explicitly requests both, establish one direction owner before editing instead of silently blending their defaults.
  • Explicit overlap gate — When the user requests Gridgeist plus another broad visual-design skill, state the overlap and recommend one direction owner before selecting a thesis or editing; use Gridgeist by default for product-native, brand-adaptive work. Do not silently ignore the requested companion or run both visual theses. After ownership is clear, use only non-conflicting implementation or verification help from the other skill unless the user chooses it as owner.
  • Use context capabilities during Inspect, asset generation after the thesis, technical audits after implementation, and browser automation during Verify.
  • Treat companions as optional. Do not block work or add dependencies when they are unavailable.

Anti-slop contract

  • Use one thesis and one coherent system.
  • Preserve or deliberately evolve the brand instead of importing a house aesthetic.
  • Build hierarchy through scale, position, density, rhythm, and contrast.
  • Give grid visibility, borders, radii, shadows, gradients, and motion defined roles.
  • Prefer authentic product evidence; label sample or fictional material and never fabricate proof.
  • Give sections or workflows distinct compositions within shared structural logic.

Repeated rounded cards, centered hero copy, gradient blobs, excessive pills, uniform sections, arbitrary icon boxes, generic claims, and technical chrome on nontechnical brands are diagnostic signals, not automatic violations. Replace weak structure with a stronger product-specific idea.

Decision reference

DimensionDecide from
StructureInformation order, task flow, shared alignments, and the brand's degree of regularity
TypeBrand voice, reading needs, and role hierarchy; reserve mono for genuinely technical content
Visual leadProduct UI, data, prose, imagery, artwork, code, or a primary interactive surface
Shape and surfaceBrand geometry, containment, adjacency, state, and interaction—not fashion
ColorExisting brand palette and semantic roles; do not assume neutral plus one accent
ComponentsProduct tasks, shared anatomy, variants, density, state behavior, and repository conventions
MotionCausality, feedback, spatial change, and tone, with reduced-motion support
ResponsivePriority, order, density, input method, and content behavior at each range

Output contract

For user-confirmed or brand-derived Create or Redesign, provide Direction with the thesis and preserved constraints, complete responsive Implementation, and Verification evidence naming observed viewports, flows, states, and remaining gaps. When system decisions materially change, identify the relevant contract or where its tokens and component rules are implemented. For provisional broad Create or Redesign, output only the alignment options, trade-offs, recommendation, and question; do not include Implementation or redesign Verification claims. For Review, make no edits and provide a one-line Verdict, prioritized findings with location, evidence, impact, and the smallest coherent correction, plus one replacement Direction. Never claim verification without observation.

Common mistakes

MistakeCorrection
Treating Gridgeist as a visible-grid presetUse grid as underlying logic and expose it only when the brand benefits
Copying a reference literallyExtract principles and preserve the user's identity and content
Styling before understanding behaviorInventory tasks, constraints, and states before composing
Making minimalism emptyAdd useful evidence and controlled density
Styling components one at a timeDefine shared anatomy, tokens, variants, and states before polishing instances
Improving the default state onlyDesign loading, empty, error, success, disabled, and destructive paths
Stacking desktop UI on mobileRedesign order, density, navigation, media, and interaction
Reporting subjective taste aloneTie findings to comprehension, usability, consistency, brand, or accessibility
Reporting automated checks as user evidenceSeparate technical verification from usability, safety, and research claims

Contrasting examples

Redesign dense API documentation with a visible information grid, precise code states, and verified mobile navigation.

Redesign a warm image-led portfolio with an invisible alignment system, expressive type, artwork-led pacing, and accessible project narratives.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gridgeist AI skill do?

Use when creating, redesigning, or reviewing web interfaces that need product-specific structure, clear hierarchy, responsive composition, accessible interaction, or relief from generic AI-generated SaaS aesthetics. Adapt grid, typography, imagery, motion, and product evidence to the established brand—including technical, editorial, image-led, warm, playful, and utilitarian directions—across React, Next.js, Tailwind CSS, HTML/CSS, landing pages, dashboards, documentation, portfolios, and interactive tools.

Why use Gridgeist on TypingMind?

Because you install it once and use it with any model. Gridgeist is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Gridgeist in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ohmiler/gridgeist/tree/main/skills/gridgeist. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gridgeist?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Gridgeist?

As many as you like. As long as a model supports skills, you can use Gridgeist with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gridgeist AI skill free?

Yes. It is published on GitHub by ohmiler under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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