By name: ant-subagent description: 行动者网络理论子智能体，提供网络分析、参与者识别和转译过程分析的统一接口 version: 1.0.0 author: socienceAI.com license: MIT tags: [ant, actor-network-theory, subagent, network-analysis, participant-identification] compatibility: Claude 3.5 Sonnet and above, iFlow CLI metadata: domain: sociology methodology: actor-network-theory complexity: advanced last_updated: "2025-12-20" allowed-tools: [python, bash, read_file, write_file]
ANT Subagent (Actor-Network Theory Subagent)
Skill Overview
The ANT Subagent is a comprehensive Actor-Network Theory analysis tool that provides a unified interface for analyzing networks of human and non-human actors. This subagent integrates network analysis, participant identification, and translation processes within the theoretical framework of Actor-Network Theory.
Theoretical Framework
Actor-Network Theory (ANT) is a theoretical framework that maps relationships between actors - both human and non-human - in a network. It emphasizes the importance of connections and translations between actors in shaping social phenomena. This subagent implements core ANT concepts including:
- Actor identification (both human and non-human)
- Network mapping and visualization
- Translation processes (problematisation, interessement, enrollment, mobilization)
- Symmetry between human and non-human actors
- Network stabilization and destabilization
Core Capabilities
- Network Analysis: Comprehensive mapping and analysis of actor networks
- Participant Identification: Identification of both human and non-human actors in the network
- Translation Process Analysis: Analysis of how actors are enrolled and mobilized in networks
- Network Visualization: Visual representation of actor relationships and connections
Usage
ant-subagent [options] [input_data]
Options
--analyze-network: Perform comprehensive network analysis--identify-participants: Identify all actors in the network (human and non-human)--trace-translation: Analyze translation processes in the network--visualize-network: Generate network visualization--input-file: Path to input data file--output-format: Output format (json, markdown, html)
Input Requirements
- Text data describing social phenomena or systems
- Network data with actor relationships
- Qualitative data for translation process analysis
Output Format
- JSON: Structured data with network analysis results
- Markdown: Human-readable analysis report
- HTML: Interactive network visualization
Integration Points
This subagent integrates the following capabilities:
- Network analysis (from ant-network-analysis)
- Participant identification (from ant-participant-identification)
- Translation process analysis (from ant-translation-process)
Quality Assurance
- Theoretical consistency with ANT principles
- Comprehensive actor identification
- Accurate translation process mapping
- Valid network visualization
Standards Compliance
- Adheres to agentskills.io standards
- Implements progressive disclosure principles
- Maintains theoretical rigor
- Follows technical implementation standards