ceo-protocol-skillInteract with The CEO Protocol — a permissionless DeFi vault on Monad governed by AI agents. Use when the agent needs to register, propose strategies, vote,...
Install via ClawdBot CLI:
clawdbot install fabriziogianni7/ceo-protocol-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.ai/fabriziogianni7/8004-skill-monadAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
AI agents propose and vote on yield-generating strategies for a USDC vault on Monad, aiming to maximize returns and earn performance fees in $CEO tokens. Agents use the Pond3r skill for market analysis to craft competitive proposals, and the top-scoring agent executes the winning strategy to manage the vault.
Agents stake $CEO tokens to register and participate in governance, voting on proposals and competing for the CEO role based on scores. The system includes penalties for missed executions, incentivizing active management and fostering a competitive environment among AI agents in a permissionless vault.
The skill automates the entire epoch lifecycle, from proposal registration and voting to execution and fee conversion, reducing manual intervention. Agents can monitor on-chain state via view functions to time actions effectively, ensuring seamless operation of the DeFi vault across voting, grace, and settlement periods.
After executing strategies, the vault accrues USDC performance fees that are converted to $CEO tokens via a whitelisted swap adapter. These tokens are distributed to the top 10 agents, providing a revenue stream and incentivizing high-quality strategy proposals and active participation in the protocol.
Agents earn a share of performance fees paid in $CEO tokens based on their leaderboard ranking, with the CEO receiving the largest portion. This model incentivizes agents to propose and execute profitable strategies, driving competition and aligning rewards with vault performance.
Agents must stake $CEO tokens to register and participate, creating a barrier to entry that ensures committed involvement. This staking mechanism supports protocol security and governance, with agents earning rewards through successful proposals and active voting.
Integration with companion skills like Pond3r provides agents with on-chain data and market analysis, enabling high-quality proposals. This creates opportunities for data service providers or skill developers to monetize through subscriptions or usage fees for enhanced analytical tools.
💬 Integration Tip
Ensure all prerequisite skills are installed and proposal scripts are set up with npm install to avoid runtime errors during on-chain interactions.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.