pm-analyst

Automate PM workflows from data analysis to Linear ticket creation.

6|1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/pwv-vc/agentcribs-community --skill pm-analyst-pwv-vc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pm-analyst
Source: https://github.com/pwv-vc/agentcribs-community/tree/main/resources/tearsheets/arsenal/dot-claude/skills/pm-analyst
Command: npx skills add https://github.com/pwv-vc/agentcribs-community --skill pm-analyst-pwv-vc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

End-to-end PM workflow that takes data analysis to shipping, enabling teams to identify top opportunities and convert them into actionable Linear tickets while enforcing lean, auditable processes.

Core Features & Use Cases

  • Data analysis to identify top opportunities from analytics
  • MVP spec creation and auditable ticket generation
  • Lean governance with built-in audit and decision gates for 4-week measurement

Quick Start

Analyze user data and generate a top-opportunity Linear ticket with an audit-ready spec.

Frequently Asked Questions about pm-analyst

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert product analytics into actionable Linear tickets?

You can convert product analytics into actionable Linear tickets by using a data-driven workflow that identifies top opportunities from analysis, generates an MVP feature spec, and creates auditable tickets for shipping.

What is the best way to automate MVP spec creation from data analysis?

Automating MVP spec creation from data analysis involves running analytics steps like funnel analysis to find opportunities, then generating a simple feature spec and an audit-ready ticket pipeline for development.

Can I enforce a decision gate for product management measurement using this workflow?

Yes, you can enforce lean governance in product management by applying a built-in decision gate that measures results four weeks after shipping to audit whether the opportunity realized its expected impact.

How do I identify top product opportunities from funnel analysis?

To identify top product opportunities from funnel analysis, you process user data through relationship and product analytics steps, deriving actionable insights that justify an MVP spec before ticket creation.

Do I need SQL data analysis setup before generating audit-ready tickets?

Yes, you need a SQL data analysis setup to query raw metrics first, because the workflow relies on data-backed opportunities from analytics to generate the MVP spec and audit-ready Linear tickets.

When should I not use an automated end-to-end PM workflow for shipping?

You should not use an automated PM workflow if your product question lacks sufficient data for SQL analysis or funnel measurement, as the process strictly requires data-backed opportunities to generate tickets.