Agent skill

Language Evolution

by jwynia in jwynia/agent-skills

Design evolving language systems for fictional worlds. An agent skill from jwynia/agent-skills.

MITAuto-check passedWriting & Content

Install Language Evolution

skills CLI
$ npx skills add jwynia/agent-skills --skill language-evolution -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jwynia/agent-skills language-evolution --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jwynia/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/creative/fiction/worldbuilding/language-evolution .claude/skills/language-evolution && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
language-evolution
GitHub stars
166
Token cost
~4.3k tokens
SKILL.md length
1,725 words
Files
1
Skills in repo
112
Repo updated
First seen
Licence
MIT

At a glance

Design evolving language systems for fictional worlds. An agent skill from jwynia/agent-skills.

  • Works in 12 steps: Environmental Parameters → Cultural-Historical Parameters → Sociolinguistic Parameters → …
  • Creating language families
  • SKILL.md covers Core Principles, Parameter Categories, Language Typologies and Language Evolution Mechanisms, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Language Evolution is an agent skill from jwynia/agent-skills. Design evolving language systems for fictional worlds. Use when creating language families, dialects, linguistic history, or when language should reflect cultural and historical development.

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Creative writing and fiction. The licence is MIT.

When your agent uses it

  • Creating language families
  • Linguistic history
  • Language should reflect cultural and historical development

Example prompts

  • “/language-evolution”

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Environmental Parameters
  2. Cultural-Historical Parameters
  3. Sociolinguistic Parameters
  4. Communication Context Parameters
  5. Proto-Language Design
  6. Sound Change Rules
  7. Grammatical Divergence
  8. Vocabulary Divergence
  9. Contact Zone Development
  10. Relexification
  11. Perfect Regularity
  12. Frozen Languages

What it can do on your machine

Read from SKILL.md and the folder at commit e02ec7e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Language Evolution loads about 4.3k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 1,725 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jwynia/agent-skills at commit e02ec7e, republished under its MIT licence (© jwynia). 1,725 words, ~4,307 tokens.

Download SKILL.mdSave it as .claude/skills/language-evolution/SKILL.md (or your agent's skills folder).
name
language-evolution
description
Design evolving language systems for fictional worlds. Use when creating language families, dialects, linguistic history, or when language should reflect cultural and historical development.
license
MIT
metadata.author
jwynia
metadata.version
1.0
metadata.type
generator
metadata.mode
generative
metadata.domain
worldbuilding

Language Evolution: Linguistic Development Skill

You help writers create realistic language systems that evolve over time and reflect cultural history. This goes beyond conlang phonology to address how languages change, branch, and interact across generations and geographies.

Core Principles

  1. Historical Continuity: Languages evolve from previous forms rather than appearing fully formed
  2. Contact Modification: Languages change through interaction with other languages
  3. Functional Adaptation: Language structures evolve to serve communication needs
  4. Cultural Reflection: Languages encode values, environment, and practices of speakers
  5. Cognitive Constraints: Development is shaped by human cognitive limitations
  6. Register Variation: Languages develop specialized forms for different contexts
  7. Innovation-Conservation Balance: Languages contain both innovative and conservative elements
  8. Geographic Divergence: Physical separation leads to linguistic divergence over time
  9. Sociolinguistic Stratification: Language varies across social groups
  10. Writing System Independence: Spoken and written forms evolve semi-independently

Parameter Categories

1. Environmental Parameters
ParameterWhat It Affects
Geographic DistributionMountain ranges, rivers affecting spread
Climate InfluenceWeather and seasonal vocabulary
Resource AvailabilityLocal materials in terminology
Fauna and FloraTaxonomic complexity for important species
Topographical MarkingLandscape feature naming patterns
2. Cultural-Historical Parameters
ParameterWhat It Affects
Migration PatternsPopulation movements creating contact
Conquest HistoryDominant-subordinate language relationships
Trade NetworksCommercial contact creating exchange
Technological DevelopmentNew terminology requirements
Religious TraditionsAbstract concepts and sacred language
3. Sociolinguistic Parameters
ParameterWhat It Affects
Social StratificationClass-based language variation
Occupational SpecializationProfessional jargons
Gender DifferentiationGender-based language patterns
Age GradingGenerational change markers
Group Identity MarkingIn-group terminology and pronunciation
4. Communication Context Parameters
ParameterWhat It Affects
Formality LevelsSituational appropriateness markers
Medium AdaptationSpoken vs. written vs. digital
Specialist DiscourseTechnical, legal, scientific evolution
Artistic ExpressionPoetic, narrative, performance forms
Privacy/SecrecyCoded communication and euphemisms

Language Typologies

Morphological Types
TypeCharacteristicsReal Examples
IsolatingMinimal word modificationMandarin Chinese
AgglutinativeClear morpheme boundariesTurkish, Japanese
FusionalMultiple meanings in single morphemesLatin, Russian
PolysyntheticMany morphemes per wordInuktitut, Mohawk
Word Order Types
TypePatternExamples
SVOSubject-Verb-ObjectEnglish, Mandarin
SOVSubject-Object-VerbJapanese, Turkish
VSOVerb-Subject-ObjectIrish, Classical Arabic
VOSVerb-Object-SubjectMalagasy
OVSObject-Verb-SubjectHixkaryana
OSVObject-Subject-VerbRare
Writing System Types
TypeHow It WorksExamples
LogographicCharacter per word/morphemeChinese
SyllabicCharacter per syllableJapanese kana
AlphabeticCharacter per phonemeLatin, Cyrillic
AbjadConsonants primarilyArabic, Hebrew
AbugidaConsonant-vowel unitsDevanagari
FeaturalCharacters represent featuresKorean Hangul

Language Evolution Mechanisms

Sound Change Types
TypeDescription
LenitionWeakening of consonants
FortitionStrengthening of consonants
Vowel ShiftSystematic vowel changes
PalatalizationConsonants shift toward palate
AssimilationSounds become more similar
MetathesisSound order swaps
Grammatical Evolution
TypeDescription
GrammaticalizationLexical words become grammatical
Analogical LevelingIrregular forms become regular
Case System SimplificationLoss of case distinctions
Tense/Aspect DevelopmentNew temporal distinctions
Evidentiality EmergenceSource marking becomes grammatical
Contact Effects
TypeDescription
Lexical BorrowingVocabulary adoption (most common)
Phonological InfluenceSound system adjustments
Syntactic ConvergenceSentence structure alignment
Morphological SimplificationComplexity reduction in contact
CalquingLoan translation with native words
Code-SwitchingAlternation between languages

Language Family Construction

Step 1: Proto-Language Design
  • Create core vocabulary (200-500 words)
  • Establish basic phoneme inventory
  • Define grammatical skeleton
  • Set morphological type
Step 2: Sound Change Rules
  • Define systematic sound shifts
  • Apply changes to create daughter languages
  • Track which changes apply where
  • Create regular correspondences
Step 3: Grammatical Divergence
  • Develop distinct innovations per branch
  • Create unique grammatical features
  • Track loss and gain of categories
  • Design independent evolution paths
Step 4: Vocabulary Divergence
  • Track cognate relationships
  • Add unique vocabulary per branch
  • Create borrowings from contact
  • Develop semantic shifts
Step 5: Contact Zone Development
  • Map where languages meet
  • Create contact effects
  • Develop pidgins/creoles if appropriate
  • Design bilingual phenomena

Common Evolution Sequences

Tonal Development
  • Consonant distinctions lost → Pitch compensates → Tones stabilize
Case System Simplification
  • Full case → Reduced case → Prepositions → Fixed word order
Creolization
  • Pidgin → Expanded pidgin → Creole with native speakers
Dialect to Language
  • Single language → Regional varieties → Political division → "Separate languages"

Setting-Specific Adaptations

Fantasy Settings
  • Elven Language Family: Ancient, conservative, prestige
  • Dwarven Isolation: Mountain-separated dialects
  • Human Diversity: Rapid change and adaptation
  • Magical Terminology: Specialized arcane vocabulary
  • Dead Language Remnants: Ritual preservation
Science Fiction Settings
  • Post-Earth Divergence: Colony isolation effects
  • Alien-Human Pidgins: Contact language development
  • Universal Translator Implications: Technology effects
  • Digital-Augmented Communication: Tech-language interface
  • Xenolinguistic Principles: Non-human cognition
Post-Apocalyptic Settings
  • Linguistic Fragmentation: Isolation creating new dialects
  • Technological Vocabulary Loss: Terms for lost tech
  • Specialized Jargon: New environmental challenges
  • Writing System Degradation: Literacy decline effects
  • Pre-Collapse Remnants: Preserved texts, misunderstandings

Sociolinguistic Variation

Register Levels
RegisterContextFeatures
FrozenCeremonies, oathsFixed phrases, archaic forms
FormalOfficial, professionalComplete sentences, technical
ConsultativeTeacher-student, expert-clientStandard grammar
CasualFriends, familySlang, ellipsis
IntimateClose relationshipsPrivate vocabulary
Dialect Markers
TypeWhat Varies
PhonologicalPronunciation differences
LexicalVocabulary differences
GrammaticalStructure differences
PragmaticUsage differences

Implementation Checklist

  • Define language family relationships
  • Create proto-language skeleton
  • Design sound change rules
  • Develop grammatical divergence
  • Map sociolinguistic variation
  • Create writing system (if any)
  • Design contact zone effects
  • Build register variation
  • Document sample texts
  • Create naming conventions integration

Case Study Examples

Tolkien's Languages
  • Proto-Eldarin as common ancestor
  • Quenya: conservative, prestige (Latin analog)
  • Sindarin: evolved, everyday (Romance analog)
  • Systematic sound changes documented
  • Cultural-linguistic integration
Klingon
  • Distinctive phonology matching warrior culture
  • Grammar reflecting cultural values
  • Vocabulary emphasizing important domains
  • Writing system matching technology level
Valyrian (Game of Thrones)
  • High Valyrian as classical, learned language
  • Daughter languages showing realistic divergence
  • Contact effects with other languages

Output Persistence

Output Discovery
  1. Check for context/output-config.md in the project
  2. If found, look for this skill's entry
  3. If not found, ask user: "Where should I save language evolution work?"
  4. Suggest: worldbuilding/languages/ or explorations/worldbuilding/
Primary Output
  • Language family tree - Proto-language and daughter branches
  • Sound change rules - Systematic transformations per branch
  • Grammatical divergence - How branches differ structurally
  • Contact zone effects - Borrowings, pidgins, convergence
  • Sociolinguistic variation - Registers, dialects, markers
File Naming

Pattern: {language-family}-evolution-{date}.md

Verification (Oracle)

What This Skill Can Verify
  • Sound change consistency - Do rules apply systematically? (High confidence)
  • Typological plausibility - Does combination of features exist in real languages? (Medium confidence)
  • Evolution logic - Do changes follow from contact/isolation patterns? (High confidence)
What Requires Human Judgment
  • Aesthetics - Does the language sound right for the culture?
  • Story fit - Does linguistic variation serve narrative?
  • Reader accessibility - Will readers parse invented words?
Oracle Limitations
  • Cannot assess whether language feels "right" for fictional culture
  • Cannot predict reader pronunciation assumptions
Show full SKILL.md (684 more words)Show less

Feedback Loop

Session Persistence
  • Output location: See context/output-config.md
  • What to save: Family tree, sound changes, grammatical features, contact effects
  • Naming pattern: {language-family}-evolution-{date}.md
Cross-Session Learning
  • Check for prior language work in this world
  • Ensure new languages maintain family consistency
  • Failed sound changes inform anti-patterns

Design Constraints

This Skill Assumes
  • Setting has languages that evolved (not created ex nihilo)
  • Writer wants historical depth, not just vocabulary
  • Some linguistic diversity exists
This Skill Does Not Handle
  • Detailed phonology - Route to: conlang
  • Cultural texture - Route to: memetic-depth
  • Generational society change - Route to: multi-order-evolution
  • Naming conventions - Route to: character-naming
Degradation Signals
  • English grammar with substituted words (relexification)
  • Languages too regular without exceptions
  • No sociolinguistic variation within languages

Reasoning Requirements

Standard Reasoning
  • Single sound change application
  • Basic grammatical divergence
  • Simple dialect variation
Extended Reasoning (ultrathink)
  • Full language family design - [Why: sound changes compound across branches]
  • Contact zone synthesis - [Why: multiple languages interacting]
  • Deep historical development - [Why: tracing evolution across centuries]

Trigger phrases: "design the language family", "how did these languages diverge", "linguistic history"

Execution Strategy

Sequential (Default)
  • Proto-language before daughter languages
  • Sound changes before applying to vocabulary
  • Family structure before contact effects
Parallelizable
  • Designing independent language branches
  • Researching different linguistic analogs
Subagent Candidates
TaskAgent TypeWhen to Spawn
Linguistic researchgeneral-purposeWhen modeling on real language families
Conlang phonologygeneral-purposeWhen needing detailed sound inventory

Context Management

Approximate Token Footprint
  • Skill base: ~3k tokens (parameters + mechanisms)
  • With typologies: ~4k tokens
  • With case studies: ~5k tokens
Context Optimization
  • Focus on relevant evolution mechanisms
  • Typologies are reference, load on-demand
  • Case studies optional examples
When Context Gets Tight
  • Prioritize: Current evolution mechanism, active family branch
  • Defer: Full typology tables, all mechanisms not in use
  • Drop: Case studies, setting-specific adaptations

Anti-Patterns

1. Relexification

Pattern: Creating "alien language" by substituting words into English grammar and syntax—"Klaatu barada nikto" as sentence structure. Why it fails: Language families don't work this way. Different languages have different grammatical structures, word orders, and morphological patterns. English-with-different-words feels fake. Fix: Choose a typological profile different from English. An SOV language with agglutinative morphology will feel genuinely foreign even with limited vocabulary.

2. Perfect Regularity

Pattern: Languages with no exceptions, no irregular verbs, no spelling inconsistencies—logically constructed rather than evolved. Why it fails: Real languages accumulate irregularities through history. The most common words resist change, preserving older forms. Constructed perfection signals artificial origin. Fix: Add irregularity to high-frequency elements. "To be" equivalents should be irregular. Common plurals should have exceptions. Spelling should preserve historical pronunciations.

3. Frozen Languages

Pattern: Languages unchanged for millennia, spoken identically by ancient elves and their modern descendants. Why it fails: All spoken languages change. Geographic separation creates dialects. Prestige languages like Latin fossilize as literary forms while spoken vernacular evolves. Fix: Create at least archaic and modern registers. Show dialect variation across regions. Have characters note "old-fashioned" speech patterns.

4. Contact Without Effect

Pattern: Languages existing side by side for centuries without borrowing, convergence, or pidginization. Why it fails: Language contact always produces change. Trade brings vocabulary. Conquest brings grammatical influence. Bilingualism creates code-switching patterns. Fix: Map where languages meet. Identify domains where borrowing occurs (technology, trade goods, governance). Create contact phenomena appropriate to relationship type.

5. Monolingual Societies

Pattern: Everyone in a kingdom speaking exactly one language with no regional variation, no professional jargon, no class markers. Why it fails: Real societies are linguistically diverse. Merchants develop trade pidgins. Scholars use classical languages. Nobility marks status through speech. Regions develop dialects. Fix: Design at least three registers (formal, common, intimate). Add professional jargons for important groups. Include at least one prestige/classical language.

Integration

Inbound (feeds into this skill)
SkillWhat it provides
worldbuildingGeographic and historical context for language spread
multi-order-evolutionGenerational timescales for language change
governance-systemsPolitical boundaries affecting language standardization
Outbound (this skill enables)
SkillWhat this provides
conlangHistorical context for phonology choices
character-namingNaming conventions following language patterns
dialogueRegister variation for character voice
memetic-depthLinguistic markers for cultural texture
Complementary
SkillRelationship
conlangLanguage-evolution provides macro history; conlang provides micro phonology. Use together for deep linguistic worldbuilding
memetic-depthLanguage-evolution tracks structural change; memetic-depth uses linguistic markers for cultural texture

© jwynia, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/creative/fiction/worldbuilding/language-evolution of jwynia/agent-skills.

Open the folder on GitHubat commit e02ec7e

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Questions about Language Evolution

What does Language Evolution do?

Design evolving language systems for fictional worlds. An agent skill from jwynia/agent-skills. Language Evolution is an agent skill from jwynia/agent-skills. Design evolving language systems for fictional worlds.

When should I use Language Evolution?

Language Evolution fits situations like: creating language families; linguistic history; language should reflect cultural and historical development.

How do I install Language Evolution in Claude Code?

Run `npx skills add jwynia/agent-skills --skill language-evolution -a claude-code`. Or copy the skill folder (skills/creative/fiction/worldbuilding/language-evolution in jwynia/agent-skills) into .claude/skills/language-evolution in your project. Claude Code loads it when a task matches its description.

How do I install Language Evolution in Codex?

Run `npx skills add jwynia/agent-skills --skill language-evolution -a codex`. Or copy the skill folder (skills/creative/fiction/worldbuilding/language-evolution in jwynia/agent-skills) into .agents/skills/language-evolution in your project. Codex loads it when a task matches its description.

Can I use Language Evolution in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jwynia/agent-skills --skill language-evolution -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/language-evolution, .gemini/skills/language-evolution, .github/skills/language-evolution and .opencode/skills/language-evolution in your project.

What does Language Evolution need to run?

SKILL.md names no scripts, command-line tools or credentials: Language Evolution is instructions for the agent only.

Does Language Evolution access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Language Evolution safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Language Evolution use?

Language Evolution is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Language Evolution use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Language Evolution?

Skills that share tags, products or a category with Language Evolution: Story Multi-Perspective Review (zenstory-ai/oh-story-claudecode, 7.4k stars), Story Toolbox Router (zenstory-ai/oh-story-claudecode, 7.4k stars), Short Web Fiction Trend Scan (zenstory-ai/oh-story-claudecode, 7.4k stars) and InkOS Creative Harness (Narcooo/inkos, 10k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Language Evolution?

jwynia (a GitHub user) maintains it in jwynia/agent-skills, which has 166 GitHub stars. The repository holds 112 skills in this directory. The repository was last updated on February 24, 2026.

Source: jwynia/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.