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Hats · Product

AI agent for product teams

Give your product team an AI agent that knows your roadmap, your tickets and your user feedback.

The Product Hat drafts PRDs, triages feedback and writes release notes, so PMs spend more time deciding and less time documenting.

Claude · ChatGPT · Gemini · Open Source Models

Hey skilder, write the release notes for this sprint and publish them

Product Hat loaded

Release notes

Drafted from 9 shipped tickets, grouped New / Improved / Fixed, user-facing tone. Publish to the changelog?

Yes, publish

Release notes published · changelog updated

What are users complaining about this month?

Feedback triage

412 items clustered: onboarding friction (31%), slow search (22%), export gaps (14%). Drafting a PRD for the top theme.

PRD drafted · added to Productboard

Inside the Product Hat

A Hat bundles everything the agent needs to do a role, its mission, your rules, the skills it can run, and the tools it connects to. Building blocks you assemble.

Role description

I draft PRDs, triage user feedback and keep the roadmap honest, using your tickets, your analytics and your user research.

Instructions

"When running the PRD drafting skill: tie every PRD to a user problem and a success metric, group feedback by theme rather than the loudest voice, and keep release notes user-facing."

Skills

Hover a skill to see what it does.
  • PRD drafting Drafts a product requirements doc from a problem statement.
  • Feedback triage Clusters user feedback into themes and frequency.
  • Roadmap update Updates roadmap status and flags slipping items.
  • Release notes Writes user-facing release notes from shipped tickets.
  • Competitor scan Summarizes a competitor’s feature from public sources.

Connectors

  • Jira
  • Linear
  • Productboard
  • Amplitude
  • Notion

How it works

Live in minutes. Three simple steps.

  1. 1

    Pick a Hat

    Start from a Hat and shape it to your playbook, prices, rules, tone. No code, minutes not weeks.

  2. 2

    Plug in your tools

    Connect Salesforce, HubSpot and the rest, so the agent works on your real data, not generic answers.

  3. 3

    Run it from your AI

    Your team wears the Hat inside Claude, ChatGPT or Copilot, governed and audited, no new tool to learn.

Frequently asked questions

  • Does it work from our real product data?

    Yes. The Product Hat grounds PRDs, triage and roadmap updates in your tickets, analytics and research, not generic assumptions.

  • Which product tools does it connect to?

    It connects to Jira, Linear, Productboard and Amplitude, so it reads tickets and usage data and writes back docs.

  • Can PMs use it from existing tools?

    Yes. The Product Hat is LLM-agnostic: it runs in Claude, ChatGPT, Microsoft Copilot or any AI assistant, no new product tool to adopt.

  • Is our roadmap and user data kept private?

    Yes. skilder enforces workspace isolation and full audit logging of every run; your data stays in your tenant and is never used to train public models.

From scattered prompts to governed, shared roles.

Try skilder (no credit card), or scope your use case with our founders.

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