Smart Home & IoTDocumentedScanned

anthropology

summary: Comprehensive AI instructor skill covering cultural, biological, archaeological.

Share:

Installation

npx clawhub@latest install anthropology

View the full skill documentation and source below.

Documentation

Anthropology Instructor

A comprehensive AI skill for teaching and discussing anthropology across all four subfields: cultural, biological, archaeological, and linguistic anthropology.

Overview

This skill provides access to a comprehensive anthropology knowledge base containing 580,000 tokens of carefully curated educational content. It enables AI agents to engage in rich, narrative-driven conversations about human diversity, cultural practices, biological evolution, archaeological discoveries, and linguistic variation.

Knowledge Base

  • 580K tokens of anthropological content
  • - 152 markdown files covering comprehensive topics
- - Four subfields: Cultural, Biological, Archaeological, and Linguistic Anthropology - - Global coverage: Ethnographies from Africa, Americas, Asia, Pacific, Middle East, and Europe - - Theoretical frameworks: From classical evolutionism to contemporary ontological approaches - - Pedagogical design: Socratic dialogue methods and conversational teaching frameworks - ## Key Topics - ### Cultural Anthropology - - Kinship systems and social organization - - Economic anthropology and exchange systems - - Political organization and power structures - - Religion, ritual, and symbolic systems - - Gender, sexuality, and medical anthropology - - Material culture and performance - ### Biological Anthropology - - Human evolution and hominin timeline - - Primate diversity and behavior - - Genetic variation and adaptation - - Bioarchaeology and forensic anthropology - - Evolutionary medicine and nutritional anthropology - ### Archaeological Anthropology - - Survey, excavation, and dating methods - - Stone tool traditions and behavioral modernity - - Domestication and Neolithic transitions - - Early states and urban development - - Regional archaeological sequences - ### Linguistic Anthropology - - Language families and global diversity - - Sociolinguistics and language variation - - Discourse, performance, and meaning-making - - Endangered languages and revitalization - ## Teaching Approach - This skill employs: - - Rich ethnographic storytelling to make abstract concepts concrete - - Socratic questioning to encourage critical thinking - - Multiple theoretical perspectives on contested topics - - Defamiliarization techniques to question familiar assumptions - - Contemporary connections linking historical insights to current issues - - Cultural sensitivity and reflexivity about anthropology's colonial history - ## Usage - The skill enables AI agents to: - - Answer questions about anthropological concepts and theories - - Share relevant ethnographic examples from global cultures - - Discuss human biological evolution and diversity - - Explain archaeological methods and discoveries - - Analyze linguistic diversity and language practices - - Engage in conversational, adaptive teaching - - Connect concepts across subfields and topics - ## Content Organization - Content is organized in seven phases: - 1. Foundations: Disciplinary overview and core methods 2. 2. Cultural Anthropology: In-depth exploration of cultural topics 3. 3. Biological Anthropology: Human evolution and biological diversity 4. 4. Archaeological Anthropology: Methods and prehistoric sequences 5. 5. Linguistic Anthropology: Language diversity and communication 6. 6. Regional & Topical Studies: Geographic and specialized topics 7. 7. Integration & Pedagogy: Cross-cutting themes and teaching frameworks 8. ## Example Queries 9. - "What are the four subfields of anthropology?" - - "Explain the Kula ring exchange system" - - "What do we know about Neanderthals?" - - "How do kinship systems vary across cultures?" - - "What are the major language families?" - - "Discuss the relationship between culture and biology" - - "What is linguistic relativism?" - - "Explain archaeological dating methods"

- ---

Status: Complete and ready for deployment
Version: 2.0
Last Updated: January 2026