aakashg

aakashg / pm-planning-system

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A structured planning system for PM teams shipping in the AI era. Specs live next to code, Claude Code reads them automatically, everything is version-controlled.

28
22
100% credibility
Found Apr 15, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A forkable template repository offering Markdown-based planning documents, guidelines, and review tools for product managers to create feature specs alongside codebases in the AI development era.

How It Works

1
🔍 Discover the planning toolkit

You find this helpful set of guides and templates designed to make product planning easier for teams building with AI.

2
📋 Bring it into your project

You copy the folders into your team's shared project space so all your plans live right next to the work they describe.

3
✏️ Tailor it to your world

You add details about your product and team style to make the guides fit perfectly for how you work.

4
📝 Create a plan for your next feature

You use the ready-made template to write out your feature idea, goals, and steps in a clear document.

5
🤖 Get smart suggestions

A helpful reviewer checks your plan and points out any missing parts or unclear spots to make it even stronger.

6
👥 Share for team thumbs-up

You send your polished plan to engineers for their input, sparking focused discussions instead of endless back-and-forth.

🚀 Ship better, faster

Your team launches features more smoothly with crystal-clear plans, happier engineers, and real results you can measure.

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AI-Generated Review

What is pm-planning-system?

This TypeScript-based template brings structured planning docs into your GitHub repo, right next to the code they describe. PMs fill markdown templates for features—including AI ones with behavior contracts—and submit them as PRs for engineer review, all version-controlled. Claude automatically reads instructions from a dedicated file to review plans for gaps using structured output, streamlining the handoff without generating code.

Why is it gaining traction?

It stands out by embedding a structured planning process directly in git workflows, unlike scattered Google Docs or tools like Notion. The Claude skill provides instant feedback on vague metrics or rollout plans, and rollout playbooks measure pilot success via cycle time and engineer NPS. Developers notice less back-and-forth on specs, with PMs handling copy, flags, and prompts safely.

Who should use this?

PMs shipping AI features who want specs treated like code, with automatic Claude reviews before engineer sign-off. Product directors rolling out team-wide structured planning tools, starting with a one-sprint pilot. Aspiring PMs building portfolio artifacts via public benchmarks in markdown PRs.

Verdict

Fork it for small AI-focused teams—docs are solid, with examples and metrics templates—but at 18 stars and 1.0% credibility, it's early-stage and unproven at scale. Test in a pilot before committing.

(178 words)

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