From skills-for-humanity
Applies variation-selection-retention analysis to any evolving system — populations, strategies, cultures, products — to understand what survives and why.
How this skill is triggered — by the user, by Claude, or both
Slash command
/skills-for-humanity:s4h-evolution-variation-selectionThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
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.
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.
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:
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:
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:
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?
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:
Proceed based on their selection. If the user reframes, incorporate the correction before running any analysis.
Population Definition [What is evolving, what varies, time horizon]
Variation Map
| Dimension | Range | Current Distribution | Heritable? |
|---|---|---|---|
| [trait/feature/strategy] | [low end → high end] | [skewed toward / spread across] | [yes / partial / no] |
Selection Pressures
| Pressure | Direction | Strength | Mechanism |
|---|---|---|---|
| [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]
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.
After delivering this output, use AskUserQuestion to offer the next move:
/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 pressuresnpx claudepluginhub human-avatar/skills-for-humanityRoutes to the right evolutionary reasoning tool based on your situation. Use when analyzing how populations, strategies, or systems change through variation, selection, niches, fitness landscapes, or coevolution.
Analyzes software component evolution stages (Genesis to Commodity) and Wardley climatic patterns for planning, design, and best practices guidance.