# jpj-memory-manager

> Use this tool when you need to automatically manage session logs and memory for infrastructure, projects, and tools, solving issues related to resource allocation and performance optimization. It takes in system data and outputs optimized memory configurations, streamlining workflows and reducing manual oversight. Ideal for use in resource-intensive applications and large-scale infrastructure deployments.

Canonical page: https://skillsregistry.net/skills/jpj069-jpj-memory-manager  
JSON: https://api.skillsregistry.net/v1/skills/jpj069-jpj-memory-manager

## Description

Automatic session logging and memory management for infrastructure, projects, and tools.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** monitoring
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/jpj069-jpj-memory-manager)

## 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": "jpj069-jpj-memory-manager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jpj069-jpj-memory-manager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jpj069-jpj-memory-manager/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
