ant-subagent

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

1. Network Analysis: Comprehensive mapping and analysis of actor networks
2. Participant Identification: Identification of both human and non-human actors in the network
3. Translation Process Analysis: Analysis of how actors are enrolled and mobilized in networks
4. 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