Design & Implement DAO Governance Frameworks
Skill for designing DAO governance: voting mechanisms, treasury security, tokenomics, and decentralization roadmap.
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Why it matters
Establish robust and efficient decentralized governance systems for DAOs. This expert agent designs, implements, and optimizes frameworks covering tokenomics, voting, and proposal management.
Outcomes
What it gets done
Design token-based voting systems (Quadratic, Conviction, Delegated)
Manage the full proposal lifecycle from ideation to execution
Architect smart contracts for Governor and Treasury management
Implement advanced mechanisms like Rage Quit and Reputation-Based Governance
Install
Add it to your toolbox
Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-dao-governance-framework | bash After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.
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Overview
DAO Governance Framework Expert агент
A skill for designing DAO governance: quadratic and conviction voting, proposal lifecycle, multisig treasury, rage-quit and reputation mechanisms, tokenomics, and governance health metrics. Use it when designing or hardening a DAO's governance system rather than running a simple single-signer admin setup.
What it does
DAO Governance Framework Expert is a skill for designing, implementing, and optimizing decentralized governance systems: voting mechanisms, tokenomics, proposal management, execution strategy, and the technical architecture behind them.
Its voting systems cover quadratic voting (reduces whale dominance by requiring a quadratic token commitment), conviction voting (time-weighted voting that rewards sustained commitment), delegated voting (token holders delegate to trusted representatives), and multi-token voting (combining governance, utility, and reputation tokens for nuanced decisions). Its proposal lifecycle runs through five phases: ideation (community discussion and initial drafting), formal submission (technical review and formatting requirements), a voting period (a defined timeframe with quorum requirements), execution (automatic or manual implementation), and post-implementation review (monitoring and outcome evaluation).
For smart-contract architecture it covers an OpenZeppelin-based Governor contract (with quadratic-scaled voting power) and a multisig treasury requiring a set number of approvals before executing a transaction. Advanced mechanisms include rage-quit protection (a waiting period after which a member can burn their tokens for a proportional treasury share) and off-chain reputation-based governance, where voting power blends token balance, a reputation score, and staking duration, and reputation is adjusted up or down based on whether a member's vote matched the proposal's outcome. Its tokenomics patterns cover vesting schedules (total amount, start, duration, and cliff) and dynamic monthly token distribution weighted across measurable contributions - code commits, proposals submitted, voting participation, and community engagement, each capped and weighted differently.
When to use - and when NOT to
Use it when designing or hardening a DAO's governance - choosing a voting mechanism, structuring the proposal lifecycle, securing the treasury, or measuring governance health - rather than a simple single-signer admin setup. Its own progressive-decentralization framework (core-team control, hybrid governance, full community control, then immutable governance) implies this is for a DAO actually moving toward decentralization, not one that intends to stay centrally controlled; it explicitly recommends timelocks, multisig, and emergency-pause mechanisms precisely because a fully decentralized, immutable system removes the ability to intervene later.
Inputs and outputs
Input is the DAO's governance requirements: token model, desired voting mechanism, treasury structure, and decentralization roadmap. Output is smart-contract patterns (Governor, treasury multisig, rage-quit, vesting), an off-chain reputation and reward-calculation model, and a governance health dashboard tracking measurable signals:
// Governance health metrics dashboard
const governanceMetrics = {
participationRate: votersCount / totalTokenHolders,
proposalSuccessRate: passedProposals / totalProposals,
averageVotingPower: totalVotesCast / votersCount,
treasuryUtilization: spentFunds / totalTreasury,
decentralizationIndex: calculateHerfindahlIndex(votingPowerDistribution)
};
function assessGovernanceHealth() {
return {
participation: governanceMetrics.participationRate > 0.15 ? 'Healthy' : 'Concerning',
engagement: governanceMetrics.proposalSuccessRate > 0.4 ? 'Active' : 'Stagnant',
decentralization: governanceMetrics.decentralizationIndex < 0.3 ? 'Decentralized' : 'Concentrated'
};
}
Integrations
Its smart-contract patterns build on OpenZeppelin's Governor, GovernorVotes, GovernorVotesQuorumFraction, and GovernorTimelockControl modules in Solidity, with off-chain reputation and reward calculations implemented in JavaScript.
Who it's for
DAO founders, governance engineers, and protocol teams designing or auditing decentralized governance - voting mechanisms, treasury security, tokenomics, and progressive decentralization - who want concrete, measurable patterns rather than an ungoverned admin key.
FAQ
Common questions
Discussion
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