# MetaAi

> MetaAi — stepasha314-tech-metaai. Use this tool when you need to coordinate autonomous workflows and build conversational AI systems that can adapt and learn from interactions. It solves problems related to automating complex tasks and creating intelligent chatbots by providing features like adaptive memory and self-learning intelligence. With inputs from git and outputs in native Claude Code, Codex, and Hermes, it streamlines AI development workflows in various contexts.

Canonical page: https://skillsregistry.net/skills/stepasha314-tech-metaai  
JSON: https://api.skillsregistry.net/v1/skills/stepasha314-tech-metaai

## Description

Agent meta-harness.Coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence and native Claude Code , Codex and Hermes

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/stepasha314-tech/MetaAi)

## 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": "stepasha314-tech-metaai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stepasha314-tech-metaai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stepasha314-tech-metaai/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
