senpi-entrypoint

Automate AI agent onboarding to the Senpi trading platform on Hyperliquid.

113|34|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/Senpi-ai/senpi-skills --skill senpi-entrypoint
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: senpi-entrypoint
Source: https://github.com/Senpi-ai/senpi-skills/tree/main/senpi-entrypoint
Command: npx skills add https://github.com/Senpi-ai/senpi-skills --skill senpi-entrypoint

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Onboard AI agents to the Senpi trading platform on Hyperliquid, guiding setup and enabling automated access to trading tools.

Core Features & Use Cases

  • Step-by-step onboarding across account creation, API key setup, MCP server configuration, skill discovery, and first-trade guidance.
  • Silent skill update checker integration to surface new or updated skills after onboarding.
  • Modular, reusable flow that can be invoked via natural-language prompts like "set up Senpi" or "get started with Senpi".

Quick Start

Install and run the senpi-entrypoint skill to onboard an AI agent to Senpi on Hyperliquid.

Frequently Asked Questions about senpi-entrypoint

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I onboard an AI agent to trade on Hyperliquid?

To onboard an AI agent to trade on Hyperliquid, you need a guided workflow that handles account creation, API key setup, and MCP server configuration. This automates setup steps to establish full trading readiness.

What is automated agent onboarding for crypto trading platforms?

Automated agent onboarding for crypto trading platforms is the process of configuring AI agents with API keys, MCP servers, and skill discovery. It enables autonomous access to trading tools and executing first trades without manual intervention.

Do I need Node.js and Python 3 to set up an AI agent on Senpi?

Yes, setting up an AI agent on Senpi requires Node.js, shell access, and Python 3. Optional OpenClaw cron can be integrated to schedule and automate ongoing trading readiness checks.

How do I configure an MCP server for an automated trading agent?

Configuring an MCP server for an automated trading agent is handled during the onboarding workflow, which establishes the connection protocols needed for the agent to discover skills and execute trades on Hyperliquid.

Can I use natural language prompts to start agent onboarding?

Yes, you can invoke the onboarding flow using natural-language prompts like "set up Senpi" or "get started with Senpi". The modular workflow reads onboarding steps from SKILL.md frontmatter to drive setup.

How do automated trading agents discover new skills after setup?

Automated trading agents discover new skills through a silent update checker integrated during onboarding. This surfaces new or updated skills after initial setup is complete, ensuring ongoing trading readiness.