Gogh

Community

AgriciDaniel

gogh

Scaffold and operate Gogh, a source-cited Obsidian brain for design skill stack advice across six frontend design skills: taste-skill v2, make-interfaces-feel-better, Impeccable, Anthropic frontend-design, ui-ux-pro-max, and Vercel web-design-guidelines. Use when the user says "gogh", "design skill stack", "anti-slop frontend", "which design skill", "stack design skills", any of the six skill names, or wants stack recommendations, conflict resolution, unified anti-slop rules, audits, or a maintained vault-backed design skill brain.

Overview

Publisher	AgriciDaniel
Repository	`gogh`
Skill name	`gogh`
Stars	67
Forks	14
Bundled files	324
License	Apache-2.0
Links	Skill source Repository Homepage

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.
324 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by AgriciDaniel on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/AgriciDaniel/gogh/tree/master
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.

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/AgriciDaniel/gogh.git \
  .claude/skills/gogh

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gogh 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 Gogh 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 Gogh 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.

Gogh

Gogh is a six-skill frontend design stack brain for AI coding agents. It helps operators choose which design skill to use when, combine them into one advisable stack, resolve conflicts, and keep anti-slop frontend guidance source-cited.

Operate the vault first. Read CODEX.md, wiki/hot.md, and wiki/index.md before changing notes.

Buyer, outputs, boundaries, quick start, and maturity details live in README.md.

Commands

bash
/gogh new <client-slug> --owner <name>
/gogh ingest --vault <path> --file <source>
/gogh synthesize --vault <path>
/gogh report --vault <path>
/gogh visuals --vault <path>
/gogh lint --vault <path>
/gogh next --vault <path>
/gogh registry --vault <path>
/gogh diff --vault <path> --against <capture>
/gogh advise --vault <path> --brief <file>

Source checkout equivalent:

bash
gogh new <client-slug> --owner <name>
gogh ingest --vault <path> --file <source>
gogh synthesize --vault <path>
gogh report --vault <path> --html-only
gogh advise --vault <path> --brief <file>

Required Operating Rules

Read <vault>/CODEX.md.
Read <vault>/wiki/hot.md.
Read <vault>/wiki/index.md.
Preserve .raw/ as immutable source material.
Never store credentials in the vault.
Never make domain-specific claims without dated trustworthy sources.
Keep hot, index, overview, and log current.
Record research evidence in references/source-ledger.json.
Record domain adapter completion in references/adapter-manifest.json.

Script Mapping

Command	Script	Note
`new`	`python scripts/scaffold_vault.py`
`ingest`	`python scripts/ingest_source.py`
`synthesize`	`python scripts/synthesize_brain.py`
`report`	`python scripts/render_brain_report.py`
`visuals`	`python scripts/generate_vault_visuals.py`
`lint`	`python scripts/lint_vault.py`
`next`	`python scripts/guide_next_action.py`
`registry`	`python scripts/import_skill_capture.py`
`diff`	`python scripts/import_skill_capture.py`
`advise`	`python scripts/render_stack_advisor.py`

Quality Gates

No invented rules, thresholds, or dial values. Every rule cites a canonical upstream capture or source-ledger entry, and unverified claims are marked as such
No shipping past a failed audit or an unrun Section 14 pre-flight check
On redesigns, no destruction of existing URLs, routes, or brand identity without an explicit modernization-mode decision
No copying of a client's real API keys, private briefs, or unreleased assets into brain notes

Do not call this brain market-ready unless scripts/audit_brain.py --require market-ready passes. A scaffold is not a finished brain.

Research Refresh

on-changelog or release watch for taste-skill, make-interfaces-feel-better, Impeccable, Anthropic frontend-design, ui-ux-pro-max, and Vercel web-design-guidelines; monthly for rule captures, stack conflicts, and dial defaults; quarterly for ecosystem coverage and the Agent Skills / SKILL.md format

Bundled files

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

and 140 more files.

Frequently asked questions

What does the Gogh AI skill do?

Why use Gogh on TypingMind?

Because you install it once and use it with any model. Gogh 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 Gogh in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgriciDaniel/gogh/tree/master. 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 Gogh?

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 Gogh?

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

Is the Gogh AI skill free?

Yes. It is published on GitHub by AgriciDaniel under the Apache-2.0 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.

View all

Openclaw Debugging

openclaw

OrganizationPopular

Debug OpenClaw model, provider, tool-surface, code-mode, streaming, and live/Crabbox behavior by choosing the right logs, probes, and proof path before changing code, including fetching stored…

Openclaw Live Updater

openclaw

OrganizationPopular

Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation. Use for fast-forward update…

Openclaw Pr Maintainer

openclaw

OrganizationPopular

Review, triage, repair, or land OpenClaw issues and pull requests with current-source evidence and the native maintainer workflow.

Openclaw Refactor Docs

openclaw

OrganizationPopular

Refactor an existing OpenClaw docs page with source-audited preservation, restructuring, and verification.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Gogh

Commands

Required Operating Rules

Script Mapping

Quality Gates

Research Refresh

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now