tokenomics
Token economics simulation and analysis. Supports supply modeling, staking mechanisms, liquidity mining, governance dynamics, agent-based simulations, and cadCAD integration.
npx skills add a5c-ai/babysitter --skill tokenomics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Token Economics Modeling Skill Expert token economics simulation and analysis for protocol design. ## Capabilities - **Supply Modeling**: Token supply and distribution - **Staking Simulation**: Staking and reward mechanisms - **Liquidity Mining**: LP incentive programs - **Governance Dynamics**: Token governance modeling - **Agent-Based Simulation**: cadCAD economic models - **Inflation Analysis**: Inflation/deflation mechanisms - **LP Economics**: DEX liquidity and impermanent loss ## Supply Distribution Models ### Vesting Schedule ```python # vesting_model.py import numpy as np import pandas as pd class VestingSchedule: def __init__(self, total_supply: int = 1_000_000_000): self.total_supply = total_supply # Allocation percentages self.allocation = { 'team': 0.20, 'investors': 0.15, 'community': 0.30, 'treasury': 0.20, 'liquidity': 0.15 } # Vesting parameters (months) self.vesting = { 'team': {'cliff': 12, 'duration': 36}, 'investors': {'cliff': 6, 'duration': 24}, 'community': {'cliff': 0, 'duration': 48}, 'treasury': {'cliff': 0, 'duration': 60}, 'liquidity': {'cliff': 0, 'duration': 1} # TGE } def get_unlocked(self, month: int) -> dict: unlocked = {} for category, params in
- Capabilities
- Supply Distribution Models
- Vesting Schedule
- Emission Schedule
- Staking Economics
- Staking Model
- veToken Model (Vote Escrow)
- Liquidity Mining
- LP Rewards Model
- Impermanent Loss Calculator
- cadCAD Simulation
- Basic cadCAD Model
- Governance Simulation
- Process Integration
What does the tokenomics skill do?
Token economics simulation and analysis. Supports supply modeling, staking mechanisms, liquidity mining, governance dynamics, agent-based simulations, and cadCAD integration.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill tokenomics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.