S4h Evolution Variation Selection logo

S4h Evolution Variation Selection

Organization
human-avatar
s4h-evolution-variation-selection

Applies the variation-selection-retention triad to understand how populations and strategies adapt over time. Triggers: 'how does this evolve', 'what gets selected for', 'why do some strategies persist and others die out', 'population dynamics', 'selection pressure', 'what survives in this environment', 'who wins over time'.

Overview

Publisherhuman-avatar
Repositoryskills-for-humanity
Skill names4h-evolution-variation-selection
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 Evolution Variation Selection 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-evolution-variation-selection
  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-evolution-variation-selection .claude/skills/s4h-evolution-variation-selection
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable S4h Evolution Variation Selection 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 Evolution Variation Selection 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 Evolution Variation Selection 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.

Evolution: Variation-Selection

Darwin's central insight was not about progress — it was about fit. Populations change not because individuals strive toward an ideal but because variants that happen to be better suited to current conditions leave more descendants. The population shifts toward fitness not through intention but through differential survival and reproduction. Evolution is a filter, not a designer.

This tool applies the variation-selection-retention triad to any evolving system: biological populations, business strategy portfolios, cultural practices, product features, organisational structures, or ideas spreading through a community. Whenever there is a population of variants, a selection environment that differentially rewards some over others, and a mechanism by which successful variants are retained or replicated — evolution is happening. The analysis asks: what is varying, what is the selection pressure, what is being retained, and what does the population look like after several rounds?

Richard Dawkins extended Darwin's logic beyond genes to any replicating entity with heritable variation — memes, strategies, cultural norms. The triad is substrate-independent: wherever variation + selection + retention operate, populations evolve. The question is always which variants win in this environment, not which are best in the abstract.


Your Process

Step 1: Define the Population and the Entity Identify what is being evolved. What are the entities in this population — the variants being compared? Be precise: not "companies" but "pricing strategies in use by companies in this market." Define the time horizon over which evolution is being observed: one product cycle, ten years, a generation.

Framing check: Confirm the population and time horizon before continuing. State what you've identified — the specific entities being varied, the time scale, and the outcome space — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing — what the population is, what varies, and over what time horizon]. 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

Step 2: Map the Variation What dimensions of variation exist in this population? Catalogue the traits, strategies, or features that differ across entities. Which of these are heritable — passed on or replicated to successors? Which are plastic — changeable within a single entity's lifetime? Heritable variation is what drives evolution; plastic variation is what drives adaptation. Both matter for different reasons.

For each dimension of variation, identify the range: from what to what do entities vary, and roughly how is the population currently distributed across that range?

Step 3: Identify the Selection Pressures What are the environmental conditions that differentially reward some variants over others? List the active selection pressures:

  • Competitive pressure: which variants outcompete others for shared resources?
  • Environmental pressure: which variants survive in the current environmental conditions (market, regulatory, ecological)?
  • Sexual/social selection (if applicable): which variants are preferred by choosers — customers, partners, funders?

For each selection pressure, assess its strength (strong = quickly eliminates unfit variants; weak = allows many variants to coexist) and its direction (what traits are being selected for, and which are being selected against).

Before narrowing: Use AskUserQuestion to surface pressures the user may see that you haven't named:

  • Question: "I've identified these selection pressures: [list]. Are there pressures specific to this context I've missed — regulatory, seasonal, technological, or otherwise?"
  • Header: "Selection Environment"
  • Options:
    • That's complete — proceed with this set
    • Add one — user will describe the missing pressure
    • Reweight — the pressures are right but their relative strength needs adjusting

Step 4: Trace Retention and Replication How do successful variants persist and propagate? What is the mechanism by which fitness translates into increased representation in the population? In biology, this is reproduction. In business, it might be: companies that work get funded and copied; features that convert get shipped more; strategies that work get codified into SOPs. Identify the retention mechanism and its fidelity (does variation get introduced in replication, or is it copied faithfully?).

Also identify the extinction mechanism: how are unfit variants eliminated? Fast elimination (bankruptcy, species death) produces rapid evolution; slow elimination (organisations kept alive by subsidies or inertia) produces a population with many unfit variants persisting.

Step 5: Project the Population Shift Given the variation in the population, the selection pressures, and the retention mechanisms: what does the population look like after several rounds? Which variants increase in frequency? Which decrease and eventually disappear? Which traits become universal (fixed in the population) and which remain polymorphic (multiple variants coexist)?

Identify the equilibrium state if selection continues without environmental change — and then ask: how likely is the environment to change? A static environment drives populations toward a single dominant strategy; a shifting environment maintains diversity because today's unfit variant may be tomorrow's winner.

Step 6: Surface the Strategic Implication If the user is a participant in this system (not just an observer), identify: which variant are they currently embodying? Is that variant's fitness rising or falling under current selection pressures? What does the population shift imply for their trajectory — and what would it take to shift to a more fit variant before selection does it for them?


Human Check-in

Before proceeding, use the AskUserQuestion tool. State your interpretation of the situation in 1–2 sentences — what population is evolving, what the dominant selection pressures are, and what the key question is — then ask:

  • Question: "My read: [your 1–2 sentence interpretation]. How do you want to proceed?"
  • Header: "Scope"
  • Options:
    • Full analysis — Complete all steps, reasoning shown throughout
    • Key findings only — Bottom-line output, skip step-by-step detail
    • Specific focus — Zoom in on one aspect of this analysis
    • Reframe — The read is off; correct it and the analysis will follow the corrected framing

Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.


Output Format

Population Definition [What is evolving, what varies, time horizon]

Variation Map

DimensionRangeCurrent DistributionHeritable?
[trait/feature/strategy][low end → high end][skewed toward / spread across][yes / partial / no]

Selection Pressures

PressureDirectionStrengthMechanism
[competitive / environmental / social][selects for / against what][strong / moderate / weak][how it eliminates or rewards]

Retention and Replication [How fit variants persist and propagate — fidelity, speed, mechanism]

Extinction Mechanism [How unfit variants are eliminated — speed and completeness]

Projected Population Shift [What the population looks like after several rounds — which variants rise, which fall, what becomes fixed]

Environmental Stability Assessment [How likely the selection environment is to shift, and what that means for current fit variants]

Strategic Implication [For a participant: current variant's trajectory, what the population shift means, and what a fitness-improving shift would look like]


Notes

Variation-selection analysis is about the population, not the individual. The unit of analysis is the distribution of variants, not the fate of any single entity. A variant can be perfectly fit today and extinct in ten years — not because it failed, but because the selection environment shifted. See /s4h-temporal-futures-mapping for mapping how the selection environment itself might change.

The most common error in applying this tool is treating current fitness as permanent. Evolution is contextual — fit for now is not the same as fit for all time. The most important question is often not "what is selected for now?" but "what is this population becoming, and what selection environment are we building toward?"

For understanding whether fit variants can coexist or must displace each other, pair with /s4h-evolution-niche. For understanding path dependence and why populations get stuck on local fitness peaks, pair with /s4h-evolution-fitness-landscape.


What's Next

After delivering this output, use AskUserQuestion to offer the next move:

  • Question: "Population dynamics mapped. What's next?"
  • Header: "Next"
  • Options:
    • /s4h-evolution-niche — Map the competitive landscape and understand who can coexist with whom
    • /s4h-evolution-fitness-landscape — Explore whether you're on a local fitness peak and how to move higher
    • /s4h-systems-feedback-mapping — Map the feedback loops that are driving or damping the selection pressures
    • Done — Wrap up and synthesise what we have so far

Frequently asked questions

What does the S4h Evolution Variation Selection AI skill do?

Applies the variation-selection-retention triad to understand how populations and strategies adapt over time. Triggers: 'how does this evolve', 'what gets selected for', 'why do some strategies persist and others die out', 'population dynamics', 'selection pressure', 'what survives in this environment', 'who wins over time'.

Why use S4h Evolution Variation Selection on TypingMind?

Because you install it once and use it with any model. S4h Evolution Variation Selection 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 Evolution Variation Selection in TypingMind?

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

Which AI models can use S4h Evolution Variation Selection?

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 Evolution Variation Selection?

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

Is the S4h Evolution Variation Selection 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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