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Ai Pm

  • 54 repo stars
  • Updated June 3, 2026
  • kimsanguine/AI_PM

AI_PM is a Claude Code marketplace and guide that packages PM workflow skills and slash commands so product work can run through structured agent context.

About

AI_PM is a Claude Code marketplace and playbook that teaches product managers to redesign how they work with agentic tooling across discovery, definition, delivery, and growth. It emphasizes designing context infrastructure and reusable skills rather than one-off prompts. Developers who double as PMs or support PM teammates should install it when they want structured PM slash workflows inside the same CLI they use for code.

  • Claude Code playbook spanning discovery through growth parts
  • Context infrastructure: CLAUDE.md, INDEX.md, skills, and hooks
  • Companion patterns aligned with discovery, competitor, and PRD prompts
  • Marketplace bundles PM workflow skills and slash commands

Ai Pm by the numbers

  • Data as of Jul 21, 2026 (Skillselion catalog sync)
/plugin marketplace add kimsanguine/AI_PM

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Listed on Skillselion
repo stars54
Last updatedJune 3, 2026
Repositorykimsanguine/AI_PM

How should product managers operationalize discovery-to-growth work in Claude Code without reinventing prompts every session?

Load AI_PM marketplace skills and slash commands to run discovery-to-growth PM cycles with CLAUDE.md, INDEX.md, skills, and hooks in Claude Code.

Who is it for?

Engineers and tech leads who own product discovery, specs, and delivery coordination and want Claude Code PM skills installed.

Skip if: Pure backend implementers who never touch requirements, roadmaps, or customer discovery artifacts.

What you get

You get installable PM skills, slash command patterns, and playbook guidance for CLAUDE.md, INDEX.md, skills, and hooks.

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FAQ

What is AI_PM?

It is a Korean-language-forward Claude Code for PMs guide with a marketplace of PM workflow skills and slash commands.

What context infrastructure does it promote?

CLAUDE.md, INDEX.md, Skills, and Hooks form the base layer described in the README.

How does it relate to hplan?

The README positions hplan as a pre-build validation gate while AI_PM focuses on how to build and deliver once direction is set.

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