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S4h Economics

Organization
human-avatar
s4h-economics

Entry point for the economics toolkit. Routes to the right economics skill based on your situation. Use when you say 'economics', 'what's the incentive here', 'what am I giving up', 'who pays for this', 'should we do more or less of this', 'why won't people cooperate', 'externality', 'opportunity cost', 'marginal', or want economic reasoning applied without knowing which specific tool fits.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-economics
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 Economics 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-economics
  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-economics .claude/skills/s4h-economics
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Economics 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 Economics 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 Economics 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.

Economics

Applies economic reasoning to decisions, organisations, and systems. Diagnoses what kind of analysis is needed and routes to the right tool. Economics is not just about money — it is about how incentives shape behaviour, how choices foreclose alternatives, and why individually rational actors so often produce collectively irrational outcomes.

Which tool fits

You need to...Tool
Map what you're actually giving up by choosing thisopportunity-cost
Understand who benefits, who pays, and what behaviours followincentive-mapping
Identify costs or benefits falling on parties outside the decisionexternalities
Apply the logic of the next unit — sunk costs, average vs. marginalmargin
Diagnose why rational individuals keep producing bad collective outcomescoordination

Routing Decision

Framing check: Confirm the situation before routing. State what you've identified — the core economic question and what's at stake — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of the economic situation and the core question]. 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
  • Evaluating a choice and want to understand the full cost, including what's foregone → opportunity-cost

  • Trying to understand or change how people behave — who's being rewarded for what → incentive-mapping

  • Decision or policy has effects on parties who aren't in the room → externalities

  • Decision involves how much to do: more, less, expand, cut — or sunk cost reasoning → margin

  • A group keeps failing to cooperate even though cooperation would benefit everyone → coordination

  • Unclear → incentive-mapping; almost every economic question eventually becomes a question about incentives

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.


Opportunity Cost

Every choice forecloses alternatives — maps what you give up, not just what you gain.

Alfred Marshall's foundational insight: the true cost of any choice is not the money spent but the next-best alternative foregone. Most analyses count only what is spent; opportunity cost analysis insists on asking what else those resources could have done. This reveals hidden costs in decisions that look free, exposes the real tradeoff in choices between competing goods, and reframes "should we do this?" as "is this the best use of what we have?" Outputs a full cost picture including the value of the path not taken.

Output: Explicit opportunity cost map — the best available alternatives, the value of each, the true cost of the chosen path, and a recommendation on whether the choice holds up once the foregone value is visible.


Incentive Mapping

Maps who benefits, who pays, and what behaviours the incentive structure actually produces.

Incentives are the operating system of human behaviour. The question is not what people are told to do, or what they intend to do — it is what the structure rewards them for doing. Identify every party in the system. For each: what do they gain by doing X? What do they lose? What actions does the incentive structure push them toward, and where does that diverge from what the system needs them to do? Misaligned incentives predict misbehaviour more reliably than bad intentions do.

Output: Incentive map by party — benefits, costs, and predicted behaviour under the current structure — plus identified misalignments and redesign options.


Externalities

Identifies costs and benefits not borne by the actor — and how to internalize them.

A.C. Pigou's central insight: when the person making a decision does not bear all of its costs (or capture all of its benefits), they will systematically over-produce the harmful activity or under-produce the beneficial one. Negative externalities (pollution, congestion, noise) are overproduced; positive externalities (vaccination, education, open-source software) are underproduced. The analysis maps all affected parties, quantifies the external effects, and identifies the mechanism — tax, subsidy, property right, regulation, or social norm — that best internalises them.

Output: Externality map — who is affected, by how much, in what direction — plus internalisation mechanisms ranked by feasibility.


Margin

Applies marginal thinking: the relevant decision is the next unit, not the average or the sunk cost.

The most durable insight in economics: decisions should be made at the margin. The question is never "was this a good investment overall?" — it is "should we do one more unit of this?" Marginal cost vs. marginal benefit determines whether to expand, maintain, or cut. Sunk costs — resources already spent that cannot be recovered — are economically irrelevant to forward decisions, yet they dominate most human reasoning. This skill strips out sunk cost reasoning, reframes the question correctly, and applies marginal logic to the decision at hand.

Output: Marginal analysis — the relevant cost and benefit at the decision margin, sunk cost identification and isolation, and a recommendation based on the correct forward-looking comparison.


Coordination

Diagnoses collective action failures, public goods problems, and why individually rational behaviour produces collective irrationality.

Elinor Ostrom's life work: the tragedy of the commons is not inevitable. But it is common — and its causes are structural, not moral. When the benefits of an action are diffuse (shared by many) while the costs are concentrated (borne by the individual), rational actors will undercontribute to the collective good. When the benefits of defection are private while the costs are shared, rational actors will overuse the commons. This skill maps the structure of the coordination failure — public good, common pool resource, assurance game, free-rider problem — and identifies what institutional arrangements (property rights, social norms, regulations, community monitoring) can solve it.

Output: Coordination failure diagnosis — the structure of the problem, why individual rationality produces collective harm, and the institutional mechanisms most likely to resolve it.

Frequently asked questions

What does the S4h Economics AI skill do?

Entry point for the economics toolkit. Routes to the right economics skill based on your situation. Use when you say 'economics', 'what's the incentive here', 'what am I giving up', 'who pays for this', 'should we do more or less of this', 'why won't people cooperate', 'externality', 'opportunity cost', 'marginal', or want economic reasoning applied without knowing which specific tool fits.

Why use S4h Economics on TypingMind?

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

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

Which AI models can use S4h Economics?

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 Economics?

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

Is the S4h Economics 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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