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Grad Embeddedness Agent Skill

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'.

3k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
223
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/asgard-ai-platform/skills --skill grad-embeddedness

What comes with it

6 454 bytes besides the instruction
examples/sample_scenario.md

The instruction itself

13 sections, as written by the author

Embeddedness Theory (Granovetter)

Overview

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.

When to Use

  • Explaining why economic actors choose partners based on relationships rather than price alone
  • Analyzing trust formation and opportunism in buyer-supplier networks
  • Evaluating how network position affects firm behavior and performance
  • Critiquing purely rational or purely cultural explanations of market behavior

When NOT to Use

  • When transactions are genuinely arms-length and commoditized with no relational component
  • When the analysis concerns macro-institutional structures beyond interpersonal networks
  • When a formal economic model with complete information adequately explains the behavior

Assumptions

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:

  • Social relations generate trust and discourage malfeasance more effectively than institutions alone
  • The same economic transaction has different outcomes depending on the relational context
  • Network structure constrains and enables economic action
  • Embeddedness has both benefits (trust, information) and costs (obligations, lock-in)

Methodology

Step 1: Identify the Economic Action

Define the transaction, exchange, or economic behavior under analysis. Specify the actors and the market context.

Step 2: Assess the Socialized vs. Under-Socialized Spectrum

| 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 |

Step 3: Analyze Structural and Relational Embeddedness

| 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? |

Step 4: Evaluate Consequences

Assess how embeddedness affects efficiency, opportunism, innovation, and lock-in.

Output Format

## 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]

Gotchas

  • Embeddedness is a matter of degree, not a binary — all economic action is somewhat embedded
  • Over-embeddedness is a real risk: too-strong ties lead to insularity, groupthink, and missed opportunities
  • Do not equate embeddedness with "social capital" — embeddedness is the condition, social capital is a resource derived from it
  • Granovetter's framework is primarily at the inter-personal and inter-organizational level, not macro-institutional
  • The theory was initially critiqued for not addressing power asymmetries — consider combining with field theory or institutional theory
  • Cultural and political embeddedness (Zukin & DiMaggio, 1990) extend the framework beyond structural and relational dimensions

References

  • Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. *American Journal of Sociology*, 91(3), 481-510.
  • Uzzi, B. (1997). Social structure and competition in interfirm networks: The paradox of embeddedness. *Administrative Science Quarterly*, 42(1), 35-67.
  • Zukin, S. & DiMaggio, P. (1990). Introduction. In S. Zukin & P. DiMaggio (Eds.), *Structures of Capital* (pp. 1-36). Cambridge University Press.

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How to use it

Copy the folder

Take asgard-ai-platform/grad-embeddedness from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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.