Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问clear审计通过

language-evolution语言进化

Agent Skill

language-evolution 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,133

周安装

253

GitHub Stars

67

下载量

2,004
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:language-evolution(语言进化)
来源仓库:https://github.com/jwynia/agent-skills
仓库路径:skills/language-evolution
安装命令:
npx skills add https://github.com/jwynia/agent-skills --skill language-evolution
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jwynia/agent-skills --skill language-evolution

简介

用于查找、检索和筛选相关信息。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

  • 适合根据关键词快速定位候选结果。
  • 通过 GitHub 安装并使用 npx 命令激活。
  • 需确认权限范围和维护状态,注意是否触发联网或命令执行。
  • language-evolution 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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

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

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

25.76%
按下载量换算516

OpenCode

24.4%
按下载量换算489

Antigravity

18.61%
按下载量换算373

Codex

13.47%
按下载量换算270

Gemini CLI

7.37%
按下载量换算148

windsurf

3.14%
按下载量换算63

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

继续浏览同类 Skills