pump-ai-agents

Coordinate AI agents and rules with the Pump SDK for multi-LLM workflows.

Updated Mar 11, 2026
One-click install
npx skills add https://github.com/x402agent/NanoSolana --skill pump-ai-agents-x402agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pump-ai-agents
Source: https://github.com/x402agent/NanoSolana/tree/main/pump-fun-sdk-main/skills/pump-ai-agents
Command: npx skills add https://github.com/x402agent/NanoSolana --skill pump-ai-agents-x402agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the orchestration of AI agents across the Pump SDK by providing standardized agent instruction files, discovery metadata, LLM context resources, and safety rules.

Core Features & Use Cases

  • Agent Instruction Files for Copilot, Claude, and Gemini to guide behavior and integration.
  • Silently discover and register skills via .well-known endpoints for scalable onboarding.
  • LLM Context Documents and a cross-skill registry to streamline agent knowledge and reuse.
  • Terminal management and security invariants to enforce safe agent operations.

Quick Start

Configure and deploy Pump AI agents by loading the agent instruction files and registering the MCP server in your environment.

Frequently Asked Questions about pump-ai-agents

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

FAQPage Schema
How do I coordinate multiple AI agents across different LLMs like Copilot, Claude, and Gemini?

To coordinate multiple AI agents across Copilot, Claude, and Gemini, you can use the Pump SDK. It provides standardized agent instruction files and a cross-skill registry to guide behavior, manage LLM context, and enable multi-LLM workflows.

How does skill discovery work for MCP server automation?

Skill discovery for MCP server automation works by silently registering skills via .well-known endpoints. This approach allows scalable onboarding of new agent capabilities without manual configuration, streamlining the integration process.

What are the security invariants for safe AI agent operations?

Safe AI agent operations are enforced through documented terminal management rules and security invariants provided by the Pump SDK. These rules ensure that multi-LLM workflows and automated processes remain secure and controlled.

Can I use the Pump SDK to manage LLM context resources for multiple agents?

Yes, the Pump SDK manages LLM context resources by providing structured context documents and a cross-skill registry. This streamlines agent knowledge sharing and reuse across different multi-LLM workflows.

How do I get started with deploying AI agents using the Pump SDK?

To get started with deploying AI agents, load the provided agent instruction files into your environment and register the MCP server. This quick start configuration enables immediate multi-LLM workflow orchestration.