owulveryck/wardleytogo/wtg2

Claude Code and agent skill by owulveryck/wardleytogo

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Generate Wardley Maps in the WTG2 domain-specific language. Use when the user asks to create, design, or describe a Wardley Map, or asks about strategic mapping.

Install

npx vskill@latest install owulveryck/wardleytogo/wtg2

SKILL.md

WTG2 — Wardley Map Language

You are generating Wardley Maps in the WTG2 domain-specific language. Your output must be a valid .wtg2 file that can be parsed and rendered to SVG.


What is a Wardley Map?

A Wardley Map is a strategic tool that visualizes a value chain (vertical axis) against the evolution of each component (horizontal axis).

  • Value chain (Y axis): Components at the top are directly visible to the user/customer. Components lower down are dependencies — infrastructure, platforms, data sources.
  • Evolution (X axis): Components move left-to-right through four phases as they mature:
  1. Genesis (I) — Novel, poorly understood, high uncertainty
  2. Custom-built (II) — Understood but bespoke, requires expertise
  3. Product/Rental (III) — Increasingly standardized, available as products
  4. Commodity/Utility (IV) — Highly standardized, pay-per-use, invisible

Key principles:

  • Anchors represent users or actors — they sit at the top of the value chain, rendered with a person icon. They have a position on the evolution axis to control horizontal placement.
  • Components are connected by dependency edges forming the value chain: User -> Application -> Database -> Compute.
  • Position a component on the evolution axis based on its maturity, not where you want it to be.
  • Common infrastructure (cloud, networking, power) belongs in phase IV. Novel R&D belongs in phase I.

Strategic Concepts for Richer Maps

The Climat / Doctrine / Manoeuvre Framework

Strategic action on a Wardley Map operates at three distinct levels:

  • Climat — External forces you cannot control but must read: evolution toward commodity, network effects, Red Queen dynamics, co-evolution of practices and technologies. In WTG2, these are expressed as signal annotations. The strategist does not fight the climate — they use it.
  • Doctrine — Universal principles you choose to follow: organizational hygiene, contextual awareness, operational excellence, continuous evolution. In WTG2, the doctrine: metadata field declares the organization's maturity phase.
  • Manoeuvre — Deliberate, context-dependent actions to change your position on the map. In WTG2, these are expressed as gameplay annotations. A manoeuvre's value depends entirely on context — the same move can be brilliant in one situation and suicidal in another.

Manoeuvre vs Tactique — a critical distinction: A manoeuvre repositions you on the map (changes the terrain). A tactique optimizes execution within the current context (does the same thing better). Refactoring code is a tactic; replacing a legacy system via strangler-fig is a manoeuvre. Only manoeuvres belong as gameplay annotations — tactics are operational, not strategic.

Gameplays (Strategic Manoeuvres)

A gameplay is a deliberate manoeuvre to modify your position on the map. Annotate gameplays on the component that is the target of the manoeuvre.

GameplayDescriptionTypical context
ILCInnovate-Leverage-Commoditize: 3 phases — (1) Innovate: provide base infrastructure, externalize innovation risk to the ecosystem; (2) Leverage: use a Sensing Engine to detect weak signals of success in ecosystem usage; (3) Commoditize: absorb validated innovations into your own offering. Self-perpetuating growth machine.Platform with ecosystem (AWS, App Store)
open-sourceCommoditize a layer to capture value in an adjacent layer. 3 uses — attack (destroy a competitor's rent by open-sourcing their differentiator), defense (prevent a third party from commoditizing your layer), standardization (establish the de facto standard).Competitor with proprietary rent
land-grabSacrifice profitability for rapid market share to become the de facto standard before the competition. First to reach critical mass becomes difficult to dislodge.New market with strong network effects
embrace-extend3 phases — (1) Embrace: adopt an open standard; (2) Extend: add proprietary extensions that create dependency; (3) Extinguish: users depend on extensions, the open standard is abandoned de facto.Standard you want to control
tower-moatErect barriers: patents, lock-in, closed protocols. Wardley's critique: fundamentally temporary in an evolutionary climate — moats dry up as components evolve toward commodity. A harvesting tactic, not a long-term strategy.Protecting an existing rent
FUDPID (Peur, Incertitude, Doute): deliberately spread fear, uncertainty, and doubt to slow adoption of a competitor's offering. Double-edged — can damage your reputation if discovered.Competitor gaining traction
strangler-figProgressively replace a legacy system. 3 steps — (1) identify components to commoditize; (2) isolate the core of value; (3) replace component by component without service interruption. Opposed to Big Bang rewrites. The map helps plan replacement component by component by visualizing dependencies.Legacy system blocking evolution
signal-distortionMislead competitors about strategic intent. Variant: techdrop — release a technology to distract competitors into investing in the wrong direction.Competitive misdirection
due-diligenceStrategic due diligence: evaluate M&A targets by mapping their value chain. Detects anomalies (Custom components that should be Commodity), assesses EVT alignment, and reveals real synergies vs. paper synergies.Merger/acquisition, asset evaluation
two-sided-marketCreate an obligatory passage point via cross-sided network effects: more producers attract more consumers, and vice versa. The virtuous circle creates substantial barriers to entry once critical mass is reached.Platform connecting producers and consumers
wtg2
gameplay ILC on Platform API
gameplay open-source "Commoditize compute to capture AI layer" on Cloud Infra
gameplay strangler-fig on Legacy CRM
gameplay due-diligence "Assess strategic coherence before acquisition" on Target Company
gameplay two-sided-market on Marketplace
Flow Analysis

A map is not just a snapshot — value flows through it. Two types of flow reveal invisible dynamics:

  1. Evolutionary flow — The gravitational pull from left to right (Genesis → Commodity). Every component tends toward commoditization. Movement arrows (>>) make this explicit for components in active transition.
  2. Capital flow — Bidirectional exchanges along dependency edges: money, data, knowledge, labor. Unlike evolutionary flow, capital flows in both directions along the value chain.

Flow anomalies to flag with `warning` or `note`:

AnomalySymptomWTG2 annotation
One-way flowA dependency where value only flows in one direction (e.g., data goes up but no value returns)warning "One-way data flow — no value returned" on Component
BottleneckA single component through which all flows pass — a structural SPOFwarning "SPOF — all value chains pass through this component" on Component
Value leakValue created internally is captured by an external component (e.g., a buy component in phase III extracting rent)warning "Value leak — vendor captures margin on our differentiation" on Component
Five Capitals (Asset Classification)

Components represent different types of organizational capital. The asset field classifies the nature of the asset (orthogonal to type which classifies sourcing).

Every asset has a dual nature: it provides a strategic capability (what it enables) while simultaneously generating a carrying cost (inertia — what it prevents from changing). A proprietary database is both a differentiator and a migration burden. The asset field captures the capability side; cost: and inertia (!) capture the carrying cost side.

The sourcing type (build/buy/outsource) also carries strategic implications: build creates CAPEX (capital expenditure — sunk cost, high inertia), while buy/outsource shift toward OPEX (operational expenditure — flexible, lower inertia). Moving from CAPEX to OPEX is itself a strategic manoeuvre to increase financial liquidity.

Asset typeDescriptionExample
techTechnological capital: code, infrastructure, patentsA routing engine, a data pipeline
financialFinancial capital: revenue models, pricing powerA billing system, a licensing model
humanHuman capital: expertise, skills, tacit knowledgeAn ML engineering team, domain experts
relationalRelational capital: partnerships, brand, contractsA partner API, a brand, a patent portfolio
socialSocial/environmental capital: community, regulatoryOpen-source community, regulatory compliance
wtg2
AI Team : II.3 {
type: build
asset: human
note: "12 ML engineers, hard to replace"
}
Qualified Inertia

Inertia is not a defect — it is a mechanical consequence of past success. It is proportional to mass, where mass = past investments × systemic dependencies × professional identities. The more successful a component has been, the harder it is to change.

Phase transitions (e.g., Custom → Product) require latent heat — invisible energy to break existing bonds: retraining experts, migrating dependencies, accepting accounting losses. This cost is invisible on a balance sheet but real on the map.

Inertia can also be reversed as momentum: when deliberately built through repeated strategic iterations, accumulated capability propels the organization forward rather than holding it back. The difference between inertia and momentum lies in intention and awareness.

Inertia is not just a severity level — it has a nature. The 5 forms are:

KindMeaningSymptom
techTechnology lock-in, infrastructure debt"We've always used Java"
financialSunk costs, established revenue models"We've invested 5M in this"
humanSkills gap, identity threat, expertise obsolescence"Our team doesn't know cloud-native"
relationalContractual obligations, partner dependencies"We have a 3-year vendor contract"
socialCultural resistance, regulatory inertia"That's not how we do things here"
wtg2
Component : II.7 !!(tech,human) >> III.5 // tech and human inertia
Component : II.7 !(financial) >> III.5 // financial inertia only
Component : II.7 !!! >> III.5 // unqualified (backward-compatible)
Climatic Patterns (Extended Signals)

Beyond accelerating/stagnating/declining, mark climatic forces that explain why components evolve:

SignalMeaning
co-evolutionTechnology and practice evolving together (e.g., containers + DevOps)
red-queenMust evolve constantly just to maintain position
commoditizationGravitational pull toward utility/commodity
network-effectsValue increases with number of users/participants
economies-of-scaleCost advantage from volume, favoring consolidation
wtg2
signal co-evolution on DevOps Practices
signal commoditization on Cloud Infrastructure
signal network-effects on Social Platform
EVT/PST Team Alignment

The Explorer-Villager-Town-planner model aligns team types to evolution phases. Use team: in groups to declare this alignment:

Team typeEvolution phaseMindset
explorer / pioneerGenesis (I)Discovery, intuition, high failure tolerance
settler / villagerCustom-Product (II-III)Productization, standards, analysis
town-plannerCommodity (IV)Industrialization, cost optimization, experience-driven

Organization-phase alignment grid:

This is the start of the file. Read the full SKILL.md on GitHub.

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Source

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Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 Jun 2026, 4 months ago.

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