# pstack

> pstack — ahmedbenaw-pstack. Use this tool when you need to leverage rigorous engineering workflow skills, such as poteto-mode playbooks and review investigation, to streamline your development process on platforms like Claude Code, Cowork, Codex, and ChatGPT. It solves problems related to code management, review, and optimization, and takes Git inputs to provide actionable outputs. Ideal for use cases requiring structured engineering workflows and collaboration.

Canonical page: https://skillsregistry.net/skills/ahmedbenaw-pstack  
JSON: https://api.skillsregistry.net/v1/skills/ahmedbenaw-pstack

## Description

pstack, nativized: Lauren Tan's rigorous engineering-workflow skills (poteto-mode playbooks, 23 principles, review and investigation skills) running natively on Claude Code, Cowork, Codex and ChatGPT. Ported from cursor/plugins.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/ahmedbenaw/pstack)

## 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": "ahmedbenaw-pstack"
    }
  }
}
```

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