# claude_codex_gemini_mem

> claude_codex_gemini_mem — changgely-claude-codex-gemini-mem. Use this tool when you need to leverage a cross-window and cross-session AI memory system to enhance your coding capabilities, particularly with git integration. It solves problems related to code recall, reuse, and collaboration across different projects and sessions. This tool accepts code snippets and context as input and provides relevant code suggestions and memories as output.

Canonical page: https://skillsregistry.net/skills/changgely-claude-codex-gemini-mem  
JSON: https://api.skillsregistry.net/v1/skills/changgely-claude-codex-gemini-mem

## Description

跨窗口/跨会话 AI 记忆系统 (Claude Code / Gemini / Codex)

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/CHANGGELY/claude_codex_gemini_mem)

## 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": "changgely-claude-codex-gemini-mem"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/changgely-claude-codex-gemini-mem` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/changgely-claude-codex-gemini-mem/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