# agentsync

> agentsync — x0c-agentsync. Use this tool when you need to synchronize coding rules and configurations across multiple AI agents, such as Codex and Gemini CLI, to ensure consistency and streamline development. It takes in Git repositories as input and outputs synced configurations for Claude Code and Cursor rules, skills, and MCP configs. Ideal for use cases where multiple AI coding agents require unified management and version control.

Canonical page: https://skillsregistry.net/skills/x0c-agentsync  
JSON: https://api.skillsregistry.net/v1/skills/x0c-agentsync

## Description

Sync Claude Code and Cursor rules, skills, and MCP configs from one source of truth. One CLI for Codex, Gemini CLI, and other AI coding agents.

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/x0c/agentsync)

## 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": "x0c-agentsync"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/x0c-agentsync` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/x0c-agentsync/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