# dify_conversation_history_everyx

> Use this tool when you need to track and manage conversation history at regular intervals, solving problems of data loss and version control. It takes in conversation data as input and outputs a git-managed history, allowing for easy retrieval and comparison of previous conversations. Ideal for use cases where conversation data needs to be preserved and updated regularly.

Canonical page: https://skillsregistry.net/skills/wxy-250701-dify-conversation-history-everyx  
JSON: https://api.skillsregistry.net/v1/skills/wxy-250701-dify-conversation-history-everyx

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/wxy-250701/dify_conversation_history_everyx)

## 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": "wxy-250701-dify-conversation-history-everyx"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wxy-250701-dify-conversation-history-everyx` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wxy-250701-dify-conversation-history-everyx/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