assimovt

Product skills for AI agents — discovery, strategy, prioritization, and PRD writing

21
1
100% credibility
Found Feb 26, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A set of concise markdown guides encoding product management frameworks for use as skills in AI coding agents to assist with discovery, strategy, prioritization, and documentation.

How It Works

1
🔍 Discover Product Skills

You hear about a helpful collection of guides that make AI assistants better at product management tasks like talking to users or planning features.

2
đź“‹ Explore the Skills List

You check out the simple list of ready-to-use skills based on proven methods from experts, picking ones that match your needs like prioritizing ideas or writing product plans.

3
Choose Your Setup Way
🚀
Quick Add

Use a one-line command to bring all skills into your AI right away.

đź›’
AI Marketplace

Search and add through your AI tool's built-in store for seamless setup.

đź“‚
Simple Copy

Download and place the skill files where your AI looks for instructions.

4
âś… Skills Are Ready

Your AI now has these smart guides loaded and waiting to help.

5
đź’¬ Use a Skill

You tell your AI to apply a skill, like validating a customer problem or scoping a feature, and it follows the expert steps perfectly.

🎉 Ship Faster

You get clear, professional product plans and decisions, helping you build and launch better products quicker with your AI sidekick.

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Star Growth

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AI-Generated Review

What is productskills?

productskills packs markdown-based skills for AI agents handling core product management tasks like user discovery, strategy docs, feature prioritization, and PRD writing. It solves the gap for PMs and founders using tools like Claude Code or Cursor to ship faster, by turning proven frameworks—Mom Test, Shape Up, RICE scoring—into concise, actionable instructions. Install via npx skills add assimovt/productskills for CLI, or as plugins/submodules for agents including Devin and any LLM.

Why is it gaining traction?

It stands out with no-fluff skills (50-150 lines each) that encode real PM frameworks, making AI outputs reliable without endless prompting. Multi-agent compatibility—Cursor rules, Claude plugins, even raw LLM context—plus easy listing and selective installs hook devs tired of generic agents. Early buzz around product skills assessment and training examples draws github product managers testing AI for interviews like capital one or revolut style.

Who should use this?

Github product owners and managers building agent workflows for discovery phases, or founders doing product skills interviews and matrix evaluations. Ideal for skills product owner training, roadmap planning with now/next/later, or PRD drafting in tools like Cursor. Suits solo devs matching product portfolios to strategies without full PM teams.

Verdict

Worth a quick npx install for PMs leaning on AI agents—solid docs and MIT license make it low-risk despite 15 stars and 1.0% credibility score signaling early maturity. Test a skill like prd-writing; contribute if it clicks, as it's primed for growth in agent-driven product configurators.

(198 words)

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