# /cs:pm-loop - run a delivery goal to a verified close

> Drive a project-delivery goal through a bounded agentic loop - Jira MCP snapshot → flow/sprint analytics bridge → routed sub-skill execution → machine-veri

- Source: https://doutorai.pt/en/components/commands__alirezarezvani-claude-skills__commands-cs-pm-loop
- Type: Commands
- Category: General
- Downloads: 0
- Site: Doutor AI (https://doutorai.pt/en) - AI tools for small businesses

An open-source community component, curated and adapted by Doutor AI.

## What it does and how to use it

A **/slash command**, ready to use, that runs a general workflow in a single step.

1. Install the command (command above).
2. In Claude Code, type "/" followed by the command name.
3. Follow the instructions the command asks for and let it run.

## Install (Claude Code)

```bash
mkdir -p .claude/commands && curl -fsSL https://doutorai.pt/data/lib/commands__alirezarezvani-claude-skills__commands-cs-pm-loop.md -o .claude/commands/alirezarezvani-claude-skills__commands-cs-pm-loop.md
```

Paste this command into the terminal, in your project folder, and the component installs automatically.

## Content

```
---
description: Drive a project-delivery goal through a bounded agentic loop - Jira MCP snapshot → flow/sprint analytics bridge → routed sub-skill execution → machine-verified gates → close refused until everything is verified or human-waived. The PM-domain adapter over engineering/agent-harness.
argument-hint: "<delivery goal, e.g. 'get sprint 14 to a verified close with health >= 70'>"
---

# /cs:pm-loop - run a delivery goal to a verified close

Goal:

**$ARGUMENTS**

## Sequence (gates are blocking - never skip forward)

1. **Intake gate** - the goal must name an observable outcome and it

- 🔒 Full content on the Pro plan (€7.99/month) -
```

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Content by Doutor AI (https://doutorai.pt/en). When quoting, please cite the source: https://doutorai.pt/en/components/commands__alirezarezvani-claude-skills__commands-cs-pm-loop