Adjust Abstraction Scope

Organization

yogsoth-ai

adjust-abstraction-scope

Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context, outcome, timeframe, system boundary) until the representation has useful explanatory and experimental leverage.

Overview

Publisher	yogsoth-ai
Repository	`de-anthropocentric-research-engine`
Skill name	`adjust-abstraction-scope`
Stars	505
Forks	43
Bundled files	Instructions only
License	Apache-2.0
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 yogsoth-ai on GitHub. Read the source before you install it.

Installation

Install the Adjust Abstraction Scope 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/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/adjust-abstraction-scope
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/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/adjust-abstraction-scope

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/yogsoth-ai/de-anthropocentric-research-engine.git /tmp/de-anthropocentric-research-engine
mkdir -p .claude/skills
cp -r /tmp/de-anthropocentric-research-engine/skills/adjust-abstraction-scope .claude/skills/adjust-abstraction-scope

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

Use it in TypingMind

Enable Adjust Abstraction Scope 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 Adjust Abstraction Scope 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 Adjust Abstraction Scope 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.

adjust-abstraction-scope

Purpose

Move a scientific object up or down in abstraction, or narrow/broaden scope dimensions, until explanatory and experimental leverage improve.

Input contract

yaml
required: [research_object, current_scope, leverage_failure]
optional: [candidate_levels, context_constraints, target_use]
constraints: [retain object identity; change representation or declared scope explicitly]

Procedure

Record object, current level, and scope dimensions (population, mechanism, context, outcome, timeframe, boundary).
Generate at least one upward and one downward abstraction candidate when leverage is unclear.
For each candidate, state what is gained, lost, and newly testable.
Select the narrowest or broadest level that supports the caller's stated use and record rationale.

Output contract

yaml
produces: [scoped_representations, selected_scope, leverage_rationale]
delta_fields: [findings, decisions, uncertainties]

Quality gates

Object identity is invariant across representations.
Every changed dimension is named with before/after values.
Selected scope has an explicit explanatory or experimental leverage claim.

Parameterization

Caller supplies object schema, allowed abstraction dimensions, admissible scope bounds, target use, and selection rule.

Failure and counterexamples

Reject a level that changes the object while appearing to change only scope; reject scope changes with no stated leverage test.

Provenance map

resolved: abstraction-laddering
resolved: scope-assessment
resolved: question-reformulation
resolved: scope-calibration
intermediate: Pass8/shift-abstraction-level
intermediate: Pass8/adjust-question-scope

Preserved source criteria ledger

source	criterion
scope-assessment	Input must contain at least 1 fully stated research question.
scope-assessment	Too broad requires a book/multiple papers; appropriate is answerable by one paper; too narrow is self-evident or lacks contribution.

Frequently asked questions

What does the Adjust Abstraction Scope AI skill do?

Why use Adjust Abstraction Scope on TypingMind?

Because you install it once and use it with any model. Adjust Abstraction Scope 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 Adjust Abstraction Scope in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yogsoth-ai/de-anthropocentric-research-engine/tree/main/skills/adjust-abstraction-scope. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Adjust Abstraction Scope?

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 Adjust Abstraction Scope?

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

Is the Adjust Abstraction Scope AI skill free?

Yes. It is published on GitHub by yogsoth-ai 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

adjust-abstraction-scope

Purpose

Input contract

Procedure

Output contract

Quality gates

Parameterization

Failure and counterexamples

Provenance map

Preserved source criteria ledger

Frequently asked questions

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