llm-social-simulation

What problem does it solve?

It helps you design and run LLM-driven agent-based social simulations that explore social theories and produce synthetic social data without mistaking outputs for real human evidence.

Core Features & Use Cases

• Simulation Tiers for Different Claim Levels: Use Tier 1 through Tier 4 to match validation ambitions from individual responses to macro-level system outcomes.
• Agent Architecture Patterns: Model personas, beliefs, memory, and interaction dynamics so agents deliberate and update over time.
• Multi-level Validation Framework: Validate at micro, meso, and macro levels using metrics like agreement/distribution overlap, network dynamics, and aggregate statistics.
• Bias & Ethics Guardrails: Identify limitations (e.g., WEIRD bias, non-independence, stereotype replication) and apply strict reporting and ethical boundaries.

Quick Start

Ask the skill to produce an end-to-end plan for a Tier 3 multi-agent simulation, including agent roles, interaction rules, a validation checklist, and ethical caveats for your chosen social phenomenon.