# npmai-agent

> npmai-agent — npmaiecosystem-npmai-agent. Use this tool when you need to automate complex AI workflows with multiple large language models (LLMs) and integrate various tools and classes into a single pipeline. The npmai-agent framework solves problems related to autonomous workflow management, providing a five-role LLM pipeline that orchestrates tasks from planning to verification. It takes in Python-based inputs and outputs automated workflows, making it ideal for use cases that require multi-LLM coordination and version control with git.

Canonical page: https://skillsregistry.net/skills/npmaiecosystem-npmai-agent  
JSON: https://api.skillsregistry.net/v1/skills/npmaiecosystem-npmai-agent

## Description

npmai-agent (internally known as the npmai-agent-suite) is a production-grade AI agent framework built on top of the NPMAI ECOSYSTEM.It gives any Python developer a fully autonomous, multi-LLM agentic pipeline with 1371 integrated tools 100 classes,orchestrated by a five-role LLM pipeline (Planner → Tool_manager  → Coder → Auditor → Verifier).

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/npmaiecosystem/npmai-agent)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "npmaiecosystem-npmai-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/npmaiecosystem-npmai-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/npmaiecosystem-npmai-agent/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
