Detail Observation

Community

Dragoon0x

detail-observation

Micro-decision analysis. Catalog the border radii, spacing scales, type sizes, and state coverage that most people miss. Use when auditing design systems, evaluating craft quality, or training granular perception.

Overview

Publisher	Dragoon0x
Repository	`taste-skills`
Skill name	`detail-observation`
Stars	6
Forks	3
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Dragoon0x on GitHub. Read the source before you install it.

Installation

Install the Detail Observation 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/Dragoon0x/taste-skills/tree/main/skills/perception/detail-observation
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/Dragoon0x/taste-skills/tree/main/skills/perception/detail-observation

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/Dragoon0x/taste-skills.git /tmp/taste-skills
mkdir -p .claude/skills
cp -r /tmp/taste-skills/skills/perception/detail-observation .claude/skills/detail-observation

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

Use it in TypingMind

Enable Detail Observation 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 Detail Observation 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 Detail Observation 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.

Detail Observation

Catalog the micro-decisions nobody else notices.

How to use

/detail-observation Apply detail-level analysis constraints to this conversation.

Constraints

What to Catalog

MUST count the actual number of type sizes in use (not what the system says, what's on screen)
MUST identify the spacing scale (is it 4/8/16/24/32 or random values?)
MUST note border radius consistency (same across buttons, cards, inputs, or varying?)
MUST check weight usage (how many font weights, and is each one serving a clear purpose?)
SHOULD identify the color count and role of each color (primary, neutral, accent, semantic)
SHOULD check hover, focus, active, disabled, loading, empty, error, and success states

Precision Over Opinion

MUST use specific values: "16px margin" not "generous spacing"
MUST note inconsistencies with evidence: "buttons use 4px radius, cards use 8px, inputs use 6px"
NEVER say "it feels inconsistent" without pointing to the specific inconsistency
SHOULD compare observed values against the design system if one exists

Anti-Patterns

Stopping at the surface level ("the typography looks good")
Treating every inconsistency as an error (some breaks are intentional)
Spending time on details that don't affect the user experience

Frequently asked questions

What does the Detail Observation AI skill do?

Why use Detail Observation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Dragoon0x/taste-skills/tree/main/skills/perception/detail-observation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Detail Observation?

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 Detail Observation?

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

Is the Detail Observation AI skill free?

Yes. It is published on GitHub by Dragoon0x 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.

View all

Grilling

mattpocock

CommunityPopular

Grill the user relentlessly about a plan, decision, or idea. Use when the user wants to stress-test their thinking, or uses any 'grill' trigger phrases.

Teach

Teach the user a new skill or concept, within this workspace.

Api Design

Patrones de diseño REST API incluyendo nomenclatura de recursos, códigos de estado, paginación, filtrado, respuestas de error, versionado y rate limiting para APIs de producción.

Accessibility

WCAG 2.2 レベル AA 標準を用いてインクルーシブなデジタルプロダクトを設計・実装・監査します。Web 用のセマンティック ARIA および Web・ネイティブプラットフォーム（iOS/Android）のアクセシビリティトレイトを生成するために使用します。

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Detail Observation

How to use

Constraints

What to Catalog

Precision Over Opinion

Anti-Patterns

Frequently asked questions

Related AI Skills

Set up your own AI workspace now