# PPM

> PPM — drqedwards-ppm. Use this tool when you need to efficiently manage Python packages and persist memory for MCP tools in Contextplus, solving package dependency and versioning issues. It integrates with git for seamless package management, taking package specifications as input and outputting managed packages. Ideal for development environments requiring reliable package management and version control.

Canonical page: https://skillsregistry.net/skills/drqedwards-ppm  
JSON: https://api.skillsregistry.net/v1/skills/drqedwards-ppm

## Description

The Python Package Manager (PPM) with persistent memory MCP tools inside Contextplus supermodeltools and context7

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/drQedwards/PPM)

## 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": "drqedwards-ppm"
    }
  }
}
```

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