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grad-social-capital

grad-social-capital

github.com/asgard-ai-platformOther24336 installsUpdated 21w ago
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About grad-social-capital

A skill for analyzing how relationships generate resources, trust, and advantage through social capital theory. It is suited to studies of individuals, teams, organizations, and communities, combining the perspectives of Coleman, Putnam, and Burt while considering both benefits and constraints.

Key features

  1. 01Define network actors and relationship types
  2. 02Analyze bonding and bridging capital
  3. 03Assess network closure and structural holes
  4. 04Identify trust, reciprocity, and network constraints

Use cases

  1. 01Assess diverse information or redundant support in a network
  2. 02Analyze trust and cooperation in a community or organization
  3. 03Identify brokerage opportunities in inter-organizational networks

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/asgard-ai-platform/skills --skill grad-social-capital

After installing, type/grad-social-capitalin Claude Code to confirm it loaded.

Bundled filesexamples/sample_scenario.md

Details

From the project README

Social Capital Theory

Overview

Social capital theory explains how the structure and quality of social relationships generate resources, trust, and advantage for individuals, groups, and communities. Three major traditions — Coleman (rational closure), Putnam (civic engagement), and Burt (structural holes) — offer complementary lenses on how networks create and constrain value.

When to Use

  • Assessing whether a network provides access to diverse information or redundant support
  • Evaluating trust, reciprocity, and cooperation within communities or organizations
  • Identifying brokerage opportunities (structural holes) in inter-organizational networks
  • Analyzing why some communities or teams outperform others despite similar resources

When NOT to Use

  • When network data is unavailable and analysis would be purely speculative
  • When individual-level human capital (skills, knowledge) is the primary explanatory variable
  • When the research question concerns macro-structural inequality (use Bourdieu's field theory instead)

Assumptions

IRON LAW: Social capital can be both an asset AND a constraint — dense
networks enable trust but restrict access to novel information. Any
analysis that treats social capital as purely beneficial ignores the
well-documented dark side of strong ties and closure.

Key assumptions:

  1. Relationships are resources — they provide information, influence, and solidarity
  2. Network structure matters independent of individual attributes
  3. Social capital is not equally accessible — it depends on position in the network
  4. The value of social capital is context-dependent (closure helps in some settings, brokerage in others)

Methodology

Step 1: Define the Network and Level of Analysis

Specify the actors (individuals, teams, organizations, communities) and the relationships being analyzed (advice, trust, resource exchange).

Step 2: Assess Network Structure
ConceptTheoristDescriptionValue Created
Bonding capitalPutnamDense ties within a groupTrust, solidarity, mutual aid
Bridging capitalPutnamTies across diverse groupsAccess to novel information, broader identity
Network closureColemanDense, closed networks with shared normsNorm enforcement, trust, sanctioning
Structural holesBurtGaps between non-redundant contactsInformation arbitrage, brokerage, control
Step 3: Evaluate Trust and Norms

Assess the level of generalized trust, reciprocity norms, and sanctioning mechanisms present in the network.

Step 4: Identify Benefits and Constraints

Map the advantages and dark-side effects of the current network configuration.

Output Format

## Social Capital Analysis: [Context]

### Network Definition
- Actors: [who is in the network]
- Relationship type: [what ties are being analyzed]
- Level: [individual / group / community]

### Structural Assessment
| Dimension | Current State | Implication |
|-----------|--------------|-------------|
| Bonding capital | [H/M/L] | [effect] |
| Bridging capital | [H/M/L] | [effect] |
| Network closure | [H/M/L] | [effect] |
| Structural holes | [many/few] | [brokerage opportunities] |

### Trust and Norms
- Generalized trust level: [H/M/L]
- Reciprocity norms: [strong/weak]
- Sanctioning mechanisms: [formal/informal/absent]

### Benefits and Dark Side
| Benefits | Constraints / Dark Side |
|----------|------------------------|
| [benefit from current structure] | [cost or limitation] |

### Recommendations
1. [How to optimize the bonding-bridging balance]
2. [Structural hole opportunities to pursue]
3. [Dark-side risks to mitigate]

Gotchas

  • Bonding and bridging are not opposites — effective networks need both in the right mix
  • Burt's structural holes and Coleman's closure are complements at different levels, not competing theories
  • The "dark side" of social capital includes groupthink, exclusion of outsiders, and excessive obligations
  • Putnam's macro-level civic social capital does not map directly to Burt's individual-level brokerage
  • Do not conflate social capital with social network analysis — SNA is a method, social capital is a theory
  • Measurement is notoriously difficult; specify clearly whether you measure structure, trust, or both

References

  • Burt, R. S. (1992). Structural Holes: The Social Structure of Competition. Harvard University Press.
  • Coleman, J. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, S95-S120.
  • Putnam, R. D. (2000). Bowling Alone: The Collapse and Revival of American Community. Simon & Schuster.
  • Granovetter, M. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360-1380.

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