aomi-transact
Build natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket.
newAI & Automationaccount-abstractionagentclidefieip-712intentonchainwallet
Aomi Transact
Authorized use only. This skill signs and broadcasts on-chain transactions on the user's behalf. The user must explicitly request each signing step. The skill will not runaomi tx signwithout an explicit user request and a correspondingtx-Nqueued byaomi tx list.
Signing gate. Do not includeaomi tx signin a copied or runnable multi-command block. Stop after listing or simulating queued transactions, summarize the tx ids, chain, value, recipient, calldata purpose, and simulation result, then ask the user for an explicit signing instruction such assign tx-1. Only run the exact signing command after that separate approval.
Overview
aomi-transact is a procedure for driving the Aomi CLI (@aomi-labs/client) from natural-language prompts. The user types something like "swap 1 ETH for USDC on Uniswap"; the agent picks the right protocol and contract, stages the approve+swap as a batch, simulates it on a forked chain, and returns a queued wallet request for the user to sign. The wallet only ever sees calldata that already passed simulation.
The CLI is account-abstraction-first: by default it signs through a zero-config Alchemy proxy (no provider credentials needed), using EIP-7702 on Ethereum mainnet and ERC-4337 on L2s. Each aomi <subcommand> invocation starts, runs, and
Subscribers only
The full skill, its 1 bundled files and every download is included with every paid Complete AI plan.
Details
| Source | aomi-labs/skills |
|---|---|
| License | MIT |
| Risk label | critical ("critical" means the skill may run commands or touch files — read before use) |
| Files | SKILL.md |
| Added | 2026-05-06 |
Related skills
advanced-evaluation
This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate evaluation bias", or mentions direct scoring, pairwise comparison, position bias, evaluation pipelines, or automated quality assessment.
agent-creator
Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.
agent-framework-azure-ai-py
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.
agent-memory
A hybrid memory system that provides persistent, searchable knowledge management for AI agents.
agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
agent-orchestration-improve-agent
Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.