asgard-ai-platform/grad-embeddedness
Apply Granovetter's embeddedness theory to analyze how economic behavior is embedded in ongoing social relations, avoiding both over-socialized and under-socialized accounts. Use this skill when the user needs to explain why market transactions deviate from pure economic rationality, analyze how trust and social ties shape business dealings, evaluate structural vs relational embeddedness in inter-firm networks, or when they ask 'why do firms prefer existing partners over cheaper alternatives', 'how do social relationships shape economic outcomes', or 'is this market truly arms-length'.
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-embeddedness
Granovetter (1985) argued that economic action is embedded in concrete, ongoing systems of social relations — it is neither driven by atomized rational calculation (under-socialized view) nor by internalized cultural norms (over-socialized view). This "new economic sociology" reframes markets as social structures where trust, reputation, and network position shape transactions.
IRON LAW: Economic behavior is NEITHER purely rational NOR purely
socially determined — it is embedded in ongoing social relations. Any
analysis that treats actors as either atomized utility-maximizers or
cultural automatons violates the embeddedness thesis.
Key assumptions:
Define the transaction, exchange, or economic behavior under analysis. Specify the actors and the market context.
| View | Assumption | Problem |
|------|-----------|---------|
| Under-socialized (neoclassical economics) | Actors are atomized, rational, self-interested | Ignores trust, reputation, ongoing relationships |
| Over-socialized (Parsonian sociology) | Actors follow internalized norms automatically | Ignores agency, strategy, network variation |
| Embeddedness (Granovetter) | Action is embedded in ongoing social relations | The middle ground — empirically trace the relationships |
| Dimension | Focus | Key Questions |
|-----------|-------|---------------|
| Structural embeddedness | Network architecture | How does the overall network topology (density, centrality, clustering) shape behavior? |
| Relational embeddedness | Dyadic tie quality | How do trust, reciprocity, and history between specific pairs of actors affect transactions? |
Assess how embeddedness affects efficiency, opportunism, innovation, and lock-in.
## Embeddedness Analysis: [Context]
### Economic Action
- Transaction: [what is being exchanged]
- Actors: [who is involved]
- Market context: [industry, competitive structure]
### Socialization Assessment
- Under-socialized explanation: [what pure economics would predict]
- Over-socialized explanation: [what pure cultural determinism would predict]
- Embeddedness explanation: [how social relations actually shape the behavior]
### Embeddedness Dimensions
| Dimension | Evidence | Effect on Behavior |
|-----------|----------|-------------------|
| Structural embeddedness | [network position, density] | [how it constrains/enables] |
| Relational embeddedness | [trust, history, reciprocity] | [how it constrains/enables] |
### Benefits and Costs of Embeddedness
| Benefits | Costs |
|----------|-------|
| [trust reduces transaction costs] | [lock-in, obligation, insularity] |
### Implications
1. [How embeddedness explains the observed deviation from pure market logic]
2. [Risks of over-embeddedness or under-embeddedness]
Take asgard-ai-platform/grad-embeddedness from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.