product-manager-skills: Add PM Workflows to AI Coding Tools

Overview

product-manager-skills equips AI coding tools with reusable product-management workflows. It is designed to make recurring PM work more rigorous, from challenging weak problem framing to interpreting business metrics and weighing roadmap tradeoffs.

The project is best suited to technical PMs, founders, and product leads who already use supported AI tools and want a local, inspectable alternative to a separate PM SaaS. Its guidance and workflow logic are primarily Markdown, rather than an interactive product-management application.

Key Features

• Reviews PRDs for weak problem framing, missing measures, overscope, and delivery risks.
• Analyzes SaaS metrics, including churn, customer acquisition cost, lifetime value, and payback.
• Supports discovery work such as interview preparation, journey mapping, and experiments.
• Applies strategy and prioritization frameworks to positioning and roadmap decisions.
• Runs a six-phase PM sprint from discovery through measurement, with phases that can be skipped or reordered.
• Offers career coaching for PM leadership transitions, including Director and VP paths.
• Includes worked examples, templates, and starter prompts to guide repeat workflows.

Use Cases

• A PM preparing to share a PRD can ask for a review that flags solution-led framing, weak success measures, and delivery risks.
• A founder assessing a SaaS business can provide available metrics and get a structured diagnosis before deciding whether to prioritize retention or acquisition.
• A product lead weighing stakeholder requests can use prioritization and strategy guidance to make tradeoffs explicit.
• A PM starting with a vague feature request can use the PM sprint workflow to develop it into a more complete product brief and PRD.
• A senior PM preparing for a Director interview can use coaching to identify leadership gaps and plan focused preparation.

Getting Started

Install with a supported skill loader:

npx skills add Digidai/product-manager-skills

For Claude Code or OpenClaw, use clawhub install product-manager-skills. See the README for setup options, examples, and usage details.

Alternatives

• Product-Manager-Skills: It spans PM strategy, delivery, research, and lifecycle work, while product-manager-skills emphasizes discovery, SaaS metrics, PRD reviews, roadmaps, and career coaching.

Considerations

• This is a skill for AI coding tools, not a collaborative PM web app with approvals, comments, or sharing workflows.
• Users need a supported tool or an LLM setup that can load local files. The README also describes uploading the skill files to Claude Projects.
• The core material is Markdown and can be inspected, but getting useful results still depends on the context and metrics supplied to the AI.
• The README identifies the license as CC BY-NC-SA 4.0, while the repository metadata reports NOASSERTION. Check the repository's license file before reuse, particularly for commercial use.
• Optional maintenance scripts are described as manual helpers, not scripts automatically run during normal skill use.