# clay-CXD

> clay-CXD — xprooket-clay-cxd. Use this tool when you need to enhance the cognitive abilities of Large Language Models (LLMs) with persistent memory and adaptive reasoning capabilities. It solves problems related to contextual understanding and memory retention in AI systems, providing a more human-like interaction experience. The clay-CXD tool accepts input from LLMs and outputs optimized memory and reasoning capabilities, ideal for use cases requiring advanced contextual intelligence.

Canonical page: https://skillsregistry.net/skills/xprooket-clay-cxd  
JSON: https://api.skillsregistry.net/v1/skills/xprooket-clay-cxd

## Description

Contextual Memory Intelligence for AI Systems - Persistent memory, cognitive tools, and adaptive reasoning capabilities for LLMs Experimental memory system for LLMs (see MemMimic for optimized version)

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **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/xprooket/clay-CXD)

## 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": "xprooket-clay-cxd"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xprooket-clay-cxd` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xprooket-clay-cxd/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