# cli

> cli — archcore-ai-cli. Use this tool when you need to manage project knowledge and context in a Git-native environment, solving problems of spec and rule management, and knowledge sharing across AI coding agents. It takes Git repository inputs and outputs managed project context, specs, and rules. Ideal for use cases where version control and collaboration are crucial, such as large-scale software development projects.

Canonical page: https://skillsregistry.net/skills/archcore-ai-cli  
JSON: https://api.skillsregistry.net/v1/skills/archcore-ai-cli

## Description

Archived: Archcore moved to github.com/archcore-ai/archcore (CLI under cli/)

## 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:** Apache-2.0
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/archcore-ai/cli)

## 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": "archcore-ai-cli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/archcore-ai-cli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/archcore-ai-cli/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