language-evolution

📁 jwynia/agent-skills 📅 Jan 20, 2026
29
总安装量
29
周安装量
#7107
全站排名
安装命令
npx skills add https://github.com/jwynia/agent-skills --skill language-evolution

Agent 安装分布

claude-code 24
opencode 22
gemini-cli 20
codex 20
windsurf 19
trae 19

Skill 文档

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

Parameter What It Affects
Geographic Distribution Mountain ranges, rivers affecting spread
Climate Influence Weather and seasonal vocabulary
Resource Availability Local materials in terminology
Fauna and Flora Taxonomic complexity for important species
Topographical Marking Landscape feature naming patterns

2. Cultural-Historical Parameters

Parameter What It Affects
Migration Patterns Population movements creating contact
Conquest History Dominant-subordinate language relationships
Trade Networks Commercial contact creating exchange
Technological Development New terminology requirements
Religious Traditions Abstract concepts and sacred language

3. Sociolinguistic Parameters

Parameter What It Affects
Social Stratification Class-based language variation
Occupational Specialization Professional jargons
Gender Differentiation Gender-based language patterns
Age Grading Generational change markers
Group Identity Marking In-group terminology and pronunciation

4. Communication Context Parameters

Parameter What It Affects
Formality Levels Situational appropriateness markers
Medium Adaptation Spoken vs. written vs. digital
Specialist Discourse Technical, legal, scientific evolution
Artistic Expression Poetic, narrative, performance forms
Privacy/Secrecy Coded communication and euphemisms

Language Typologies

Morphological Types

Type Characteristics Real Examples
Isolating Minimal word modification Mandarin Chinese
Agglutinative Clear morpheme boundaries Turkish, Japanese
Fusional Multiple meanings in single morphemes Latin, Russian
Polysynthetic Many morphemes per word Inuktitut, Mohawk

Word Order Types

Type Pattern Examples
SVO Subject-Verb-Object English, Mandarin
SOV Subject-Object-Verb Japanese, Turkish
VSO Verb-Subject-Object Irish, Classical Arabic
VOS Verb-Object-Subject Malagasy
OVS Object-Verb-Subject Hixkaryana
OSV Object-Subject-Verb Rare

Writing System Types

Type How It Works Examples
Logographic Character per word/morpheme Chinese
Syllabic Character per syllable Japanese kana
Alphabetic Character per phoneme Latin, Cyrillic
Abjad Consonants primarily Arabic, Hebrew
Abugida Consonant-vowel units Devanagari
Featural Characters represent features Korean Hangul

Language Evolution Mechanisms

Sound Change Types

Type Description
Lenition Weakening of consonants
Fortition Strengthening of consonants
Vowel Shift Systematic vowel changes
Palatalization Consonants shift toward palate
Assimilation Sounds become more similar
Metathesis Sound order swaps

Grammatical Evolution

Type Description
Grammaticalization Lexical words become grammatical
Analogical Leveling Irregular forms become regular
Case System Simplification Loss of case distinctions
Tense/Aspect Development New temporal distinctions
Evidentiality Emergence Source marking becomes grammatical

Contact Effects

Type Description
Lexical Borrowing Vocabulary adoption (most common)
Phonological Influence Sound system adjustments
Syntactic Convergence Sentence structure alignment
Morphological Simplification Complexity reduction in contact
Calquing Loan translation with native words
Code-Switching Alternation 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

Register Context Features
Frozen Ceremonies, oaths Fixed phrases, archaic forms
Formal Official, professional Complete sentences, technical
Consultative Teacher-student, expert-client Standard grammar
Casual Friends, family Slang, ellipsis
Intimate Close relationships Private vocabulary

Dialect Markers

Type What Varies
Phonological Pronunciation differences
Lexical Vocabulary differences
Grammatical Structure differences
Pragmatic Usage 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

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

Task Agent Type When to Spawn
Linguistic research general-purpose When modeling on real language families
Conlang phonology general-purpose When 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)

Skill What it provides
worldbuilding Geographic and historical context for language spread
multi-order-evolution Generational timescales for language change
governance-systems Political boundaries affecting language standardization

Outbound (this skill enables)

Skill What this provides
conlang Historical context for phonology choices
character-naming Naming conventions following language patterns
dialogue Register variation for character voice
memetic-depth Linguistic markers for cultural texture

Complementary

Skill Relationship
conlang Language-evolution provides macro history; conlang provides micro phonology. Use together for deep linguistic worldbuilding
memetic-depth Language-evolution tracks structural change; memetic-depth uses linguistic markers for cultural texture