Analyze Chinese case narratives by identifying actors and tracing translation stages.
npx skills add https://github.com/ptreezh/sscisubagent-skills --skill ant-ptreezh
Please help me install this Agent Skill. Skill: ant Source: https://github.com/ptreezh/sscisubagent-skills/tree/main/archive/skills/ant Command: npx skills add https://github.com/ptreezh/sscisubagent-skills --skill ant-ptreezh
This Skill helps you understand and analyze actor-network dynamics by identifying heterogeneous actors, constructing their relational network, and tracing how “translations” (from problems to interests and mobilization) are formed and stabilized in practice.
Use the ant skill to analyze the given Chinese case text describing policy formation, technical promotion, or contested social-technical interaction.
High-intent search queries and answers about installing and using this skill.
Actor-Network Theory analysis identifies heterogeneous human and non-human actors from text, constructs their relational network, and traces how translations form and stabilize in practice, producing structured JSON outputs detailing actors, relations, and translation stages.
Stakeholder mapping from text extracts human and non-human actors like organizations, technologies, and concepts to build a participant relationship network, identifying key nodes and structural characteristics to support Actor-Network Theory analysis.
Yes, Actor-Network Theory analysis applies to policy analysis, technology adoption studies, and human–nonhuman interaction studies, explaining actor networks and translation dynamics extracted from Chinese case narratives.
Tracking translation processes identifies how problematization and subsequent translation stages form, enabling the tracing of fact construction and contested points within the actor-network to understand stabilization mechanisms over time.
Extracting heterogeneous actors from Chinese text involves identifying human and non-human entities like organizations, technologies, and concepts, producing a structured three-layer JSON output with summarized network indicators and detailed actor structures for qualitative research.
Actor-Network Theory analysis requires no specific dependencies or external components, operating directly on Chinese case narratives to produce structured JSON outputs with network indicators and translation structures.
ptreezhExtracts Actor-Network Theory translation phases and identifies controversies from case text.
ptreezhConvert actors and relationships into network graphs with computed properties.
ptreezhIdentify actors, map networks, and trace translation phases in socio-technical systems.
ptreezhIdentify human and non-human actors and infer relationships for Actor-Network Theory analysis.
