Identify actors, map networks, and trace translation phases in socio-technical systems.
npx skills add https://github.com/ptreezh/sscisubagent-skills --skill ant-expert
Please help me install this Agent Skill. Skill: ant-expert Source: https://github.com/ptreezh/sscisubagent-skills/tree/main/skills/ant-expert Command: npx skills add https://github.com/ptreezh/sscisubagent-skills --skill ant-expert
This skill helps you analyze how socio-technical networks form by identifying both human and non-human actors, mapping their relationships, and tracing the translation process from problem framing to mobilization.
Use case example: Analyze how electric vehicle adoption emerges in China by identifying regulators, firms, consumers, standards, charging infrastructure, and technologies, then tracing how interests are aligned into coordinated action and which elements stabilize the network.
Ask the AI to perform a comprehensive ANT analysis for your case, including actors identification, network mapping, translation tracking across all four phases, and stability evaluation.
High-intent search queries and answers about installing and using this skill.
To map actors in a socio-technical network, this skill identifies and classifies both human and non-human participants, assessing their agency to support symmetric actor-network theory analysis. It extracts participants and constructs relationship networks to reveal structural topology and central nodes.
Actor-network theory translation tracking traces how interests align into coordinated action across four phases: problematization, interessement, enrollment, and mobilization. It includes controversy identification and stabilization assessment to evaluate whether the heterogeneous network successfully forms.
To analyze network topology for innovation diffusion, this skill computes structural indicators like density, degree distribution, and central nodes. These metrics reveal key connections, roles, and material-semiotic relations among heterogeneous actors in organizational ecosystems.
Yes, you can use actor-network theory analysis for policy implementation research. It applies to socio-technical scenarios by mapping regulators, standards, and technologies, tracing how interests align into coordinated action and assessing which elements stabilize the network.
The best way to structure an ANT analysis workflow is using the integrated planning-with-files approach. This structures stages, tracks progress, and synthesizes outputs, generating actor mapping, network topology, translation timelines, and stability evaluation in one coordinated process.
ptreezhConvert actors and relationships into network graphs with computed properties.
ptreezhExtracts Actor-Network Theory translation phases and identifies controversies from case text.
ptreezhAnalyze Chinese case narratives by identifying actors and tracing translation stages.
ptreezhIdentify human and non-human actors and infer relationships for Actor-Network Theory analysis.
