Aim

CommunityPopular

LilMGenius

aim

When data lands with a thin ask — files, a repo, a paste, a chat scrollback — read it and propose what the user is trying to do with it, as a proposal to confirm rather than a question to answer. Use the moment material arrives without a fully-formed ask, or when the ask reads thinner than the data suggests.

Overview

Publisher	LilMGenius
Repository	`paperthin`
Skill name	`aim`
Stars	1.3K
Forks	118
Bundled files	Instructions only
License	MIT
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by LilMGenius on GitHub. Read the source before you install it.

Installation

Install the Aim 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/LilMGenius/paperthin/tree/main/skills/depth/aim
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/LilMGenius/paperthin.git /tmp/paperthin
mkdir -p .claude/skills
cp -r /tmp/paperthin/skills/depth/aim .claude/skills/aim

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

Use it in TypingMind

Enable Aim 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 Aim 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 Aim 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.

Read the data and propose the intent behind it, for the user to confirm.

Goal

The result is a proposal the user only confirms, revises, or rejects — never a question. Asking makes the user compose a sentence they did not have ready; proposing lets them answer with a yes. If the turn ends with them writing that sentence anyway, the skill missed.

Workflow

Read every piece of the handed-over data end to end before proposing anything.
State the intent you read, in one line grounded in what the data actually shows.
State briefly what you would do next on that intent.
Ask only to confirm — right, wrong, or adjust.

Rules

Read before proposing. A proposal without reading is a guess.
Ground it in the data. Point at what you read, not what you assumed.
One intent per turn. If two are plausible, propose the likelier and name the other in a clause.
Confirm, don't compose. If the turn ends with the user assembling a sentence, redo the proposal.
If the data is too thin to propose from, say so and stop. Do not fall back to asking.

Verification

The user's next reply is short — a yes, a correction, or a small adjustment. If they had to explain what they wanted from scratch, the proposal was wrong, or was really a question in disguise.

Frequently asked questions

What does the Aim AI skill do?

Why use Aim on TypingMind?

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

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

Which AI models can use Aim?

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 Aim?

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

Is the Aim AI skill free?

Yes. It is published on GitHub by LilMGenius 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Goal

Workflow

Rules

Verification

Frequently asked questions

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