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S4h Cognition

Organization
human-avatar
s4h-cognition

Entry point for the cognition toolkit. Routes to the right cognition skill based on your situation. Use when you say 'cognition', 'how am I thinking about this', 'why can't I focus', 'what mental model is driving this', 'am I thinking clearly', 'this is too complex to hold in my head', 'what do I actually know here', or want applied cognitive science without knowing which specific tool fits.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-cognition
Stars
234
Forks
24
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by human-avatar on GitHub. Read the source before you install it.

Installation

Install the S4h Cognition 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/human-avatar/skills-for-humanity/tree/main/skills/s4h-cognition
  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/human-avatar/skills-for-humanity.git /tmp/skills-for-humanity
mkdir -p .claude/skills
cp -r /tmp/skills-for-humanity/skills/s4h-cognition .claude/skills/s4h-cognition
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Cognition 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 S4h Cognition 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 S4h Cognition 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.

Cognition

Applies cognitive science to understand and improve how thinking itself works — attention, mental models, metacognition, and cognitive load. Diagnoses what kind of cognitive work is needed and routes to the right tool.

Which tool fits

You need to...Tool
Understand what is capturing or depleting attention — and how to protect itcognition-attention
Surface and audit the mental models driving perception and decisionscognition-mental-models
Apply thinking-about-thinking to monitor comprehension and calibrate confidencecognition-metacognition
Manage the limits of working memory — chunking, offloading, reducing complexitycognition-cognitive-load

Routing Decision

Framing check: Confirm the specific cognitive situation before routing. State what you've identified — the thinker or system in question, the cognitive challenge, and what the user wants to improve or understand — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the specific cognitive challenge and what you want to understand or change]. Is that right?"

  • Header: "Framing"

  • Options:

    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different situation than read; incorporate the correction before proceeding
  • "I can't focus" / "attention keeps getting pulled away" / "how do I protect deep work time" → cognition-attention (map the attention economy, identify threats and defences)

  • "I keep seeing this the same way" / "what assumptions are built into how I see this" / "what mental model am I using" → cognition-mental-models (surface the implicit representations driving perception)

  • "I don't know what I don't know" / "how confident should I be" / "am I actually understanding this" → cognition-metacognition (apply thinking-about-thinking to calibrate and monitor)

  • "This is too much to hold at once" / "complexity is overwhelming" / "how do I simplify this" → cognition-cognitive-load (apply Sweller's cognitive load theory to manage working memory limits)

  • Unclear → cognition-metacognition; most cognitive difficulties trace back to not knowing what you do and don't understand

Confirm Direction

After diagnosing which tool fits, use the AskUserQuestion tool to confirm direction. Construct the question dynamically to include your diagnosis:

  • Question: "My read: [diagnosed tool] — [one sentence on why it fits]. How would you like to proceed?"
  • Header: "Direction"
  • Options:
    • Yes, run that tool — Execute the diagnosed skill immediately using the context already provided
    • Show all options — List every skill in this category with one-line descriptions
    • Quick version — Run a lighter-weight alternative if one exists for this situation
    • Re-diagnose — Revisit the situation description for a different read

Proceed based on their selection.


Attention

Maps the attention economy of a mind or situation — what captures it, what depletes it, and how to protect it.

Attention is finite and directional. What occupies it is not random — it follows predictable rules: salience, novelty, emotional charge, and personal relevance all compete for the cognitive resource that enables everything else. This skill maps the full attention landscape of a specific person or context: what is actively competing for focus, what legitimate demands exist, what noise can be eliminated, and what structural conditions protect or destroy sustained attention. The output is a prioritised defence plan for cognitive bandwidth.

Output: Attention threat map, current depletion sources, structural protection measures, and a priority list for reclaiming focus.


Mental Models

Surfaces and audits the internal representations that drive perception and decision-making.

Every perception and decision runs through a mental model — a simplified internal representation of how part of the world works. The danger is that models become invisible: they shape what we notice, how we interpret evidence, and what options we can imagine, all without our awareness. This skill, rooted in Philip Johnson-Laird's model theory, makes the implicit explicit. It identifies which models are active in a situation, tests them for accuracy and completeness, and surfaces the gaps and distortions that are shaping judgment without being seen.

Output: Active models identified, accuracy audit (what each model gets right and wrong), gaps and blind spots, and a recommended model update or replacement.


Metacognition

Applies thinking-about-thinking as a practical tool — monitoring comprehension, calibrating confidence, and knowing what you do not know.

Metacognition — understanding and regulating your own cognitive processes — is the highest-leverage cognitive skill because it governs all the others. Developed as a formal discipline by John Flavell in the 1970s, it encompasses: knowing what you know and don't know (metacognitive knowledge), monitoring whether you're actually understanding something (metacognitive monitoring), and adjusting your approach when you're not (metacognitive control). This skill applies these three dimensions to a concrete situation where the quality of thinking matters.

Output: Metacognitive status across knowledge, monitoring, and control dimensions — with specific gaps, overconfidence alerts, and recommended adjustments.


Cognitive Load

Manages the limits of working memory — chunking, offloading, and reducing unnecessary complexity to free capacity for what matters.

George Miller established in 1956 that working memory holds approximately seven items (plus or minus two). John Sweller's Cognitive Load Theory refined this: not all load is equal. Intrinsic load is inherent to the material; extraneous load comes from poor design; germane load builds schemas. The goal is to minimise extraneous load, manage intrinsic load through chunking, and use offloading strategies to extend effective working memory beyond its biological limits.

Output: Load type breakdown (intrinsic / extraneous / germane), chunking recommendations, offloading strategy, and redesigned information structure where applicable.

Frequently asked questions

What does the S4h Cognition AI skill do?

Entry point for the cognition toolkit. Routes to the right cognition skill based on your situation. Use when you say 'cognition', 'how am I thinking about this', 'why can't I focus', 'what mental model is driving this', 'am I thinking clearly', 'this is too complex to hold in my head', 'what do I actually know here', or want applied cognitive science without knowing which specific tool fits.

Why use S4h Cognition on TypingMind?

Because you install it once and use it with any model. S4h Cognition 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 S4h Cognition in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/human-avatar/skills-for-humanity/tree/main/skills/s4h-cognition. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use S4h Cognition?

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 S4h Cognition?

As many as you like. As long as a model supports skills, you can use S4h Cognition with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the S4h Cognition AI skill free?

Yes. It is published on GitHub by human-avatar 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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