Best skills for Product manager
As a product manager, your day is a juggling act of prioritization, stakeholder communication, and market validation. The right AI coding skills can streamline these tasks, but only if you choose wisely. Look for skills that integrate seamlessly with your existing tools—like a task management skill that syncs with your project board or an email summary skill that respects your filters. For instance, Worklog Task Management can automate progress tracking across teams, but ensure it handles custom statuses and dependencies. Email Summary—Gmail & Exchange is a lifesaver for staying on top of client feedback, but beware of oversimplification: always double-check flagged items. When exploring new features, a Startup Market Opportunity Analysis skill can provide data-driven insights, but treat its outputs as hypotheses, not facts. Common pitfalls include over-relying on AI for nuanced decisions and neglecting data privacy. Test each skill with a real workflow scenario; if it doesn't save you at least 30 minutes a day, it's not worth it. Focus on skills that offer configurability and clear output—your goal is efficiency without losing control.
2 skills selected
Remove a Research Phase from Roadmap
Productivity
Removes a future research phase from a roadmap and renumbers all subsequent phases to maintain consistency.
Sales Proposal Planning
Productivity
Internal planning method for sales proposals: 9 sections covering diagnosis, roadmap, economics, governance and the client-facing structure and rules.
How to choose
- How are these skills selected?
- An algorithm picks them among the published skills that match this page's criteria, such as category, tags or compatible tools. It ranks them by the quality score a language model gave them. On ranking pages, it also weighs GitHub stars and the security rating. Nobody reviews them one by one.
- What do the security ratings mean?
- A language model reads the SKILL.md file, without running it, and gives it a rating. Safe means it sees no meaningful execution risk. Caution means the skill uses powerful tools such as bash, docker or the network for a legitimate purpose. Risky means it asks for destructive actions, for secrets to be sent out, or for obfuscated code to run; a skill rated Risky is never published. The rating does not replace your own reading of the file.
- How do I install a skill?
- Open any skill page and follow its install instructions for your tool — Claude Code, Cursor or Copilot. Each skill lists the exact steps so you can get it running in a couple of minutes.