Product Manager Skills Claude skills

77 product-management skills (strategy, discovery, stakeholder work, roadmaps, PRDs) that interview you and apply a named framework, plus a few command workflows.

Our verdict Recommended with caveats

A deep, well-structured PM library, but the CC BY-NC-SA license limits commercial reuse and the skills are long, interview-style prompts with no scripts or evals.

What Product Manager Skills does

This library packages well-known product-management frameworks as agent skills. Most are interactive: you invoke one, the agent asks for the context it needs (or uses what you pasted), then walks you through the framework and produces a structured result. Examples named in the README and file list include problem-framing-canvas, positioning-statement, product-strategy-session, stakeholder-mapping, discovery-interview-prep, opportunity-solution-tree, acquisition-channel-advisor (a scale, test or kill call using CAC, LTV and payback), battle-card-builder, ansoff-matrix, and several competitive research skills that chain together. A newer group covers AI-era work: agent-orchestration-advisor, context-engineering-advisor, ai-shaped-readiness-advisor.

Skill files are long, averaging about 17 KB, and many include a Provenance section, an examples folder and templates. The README says the aim is both for the agent to do professional-level PM work and to teach the human why each framework works. There are no scripts and no evals. Also included are six command workflows and a Claude Code plugin manifest; the README lists Claude Code, Cursor, Codex, n8n and OpenClaw as targets. Everything is under CC BY-NC-SA 4.0, which restricts commercial reuse of the skills themselves.

Good for

  • Product managers who want framework-guided sessions instead of generic PRDs
  • Learning PM methods while producing real artifacts
  • Competitive and market research workflows for a product team

Not for

  • Anyone planning to repackage the skills into a paid product or course
  • Engineering-only workflows

What's inside depth 3/5

77 skills averaging 17 KB of instructions, with templates and example files in most, but no helper scripts, tests or evals.

Skills
77
Reference docs
56
Scripts
2
Tests / evals
0
Templates
106
Avg SKILL.md
16.7 KB

Counted from the repository file tree. How we score depth.

Dependencies and costs

  • Optional Anthropic, OpenAI or Ollama API keys (README mentions multi-provider support via environment variables)

Security review

Review before installing

About 70 Markdown product-management skills with templates and examples; the skill files themselves contain no scripts, hooks, network calls or tool pre-approvals. The README also advertises an optional Streamlit playground and a dist/ folder of 87 prebuilt zips, neither of which we could inspect, so this is a partial review.

Worth knowing

  • Installs packages or toolsREADME offers an optional local Streamlit playground (pip install -r app/requirements.txt, streamlit run app/main.py) with Anthropic, OpenAI or Ollama providers; the app code is not in our snapshot.README.md:170
  • Needs an API key for its own serviceThe optional Streamlit app reads provider API keys from environment variables only and sends prompts to the chosen provider (Anthropic, OpenAI or a local Ollama).README.md:181
  • Contains compiled binariesThe repo contains 87 prebuilt skill zip archives under dist/ (download shelf) that we cannot read, so they were not checked against the Markdown sources.dist/acquisition-channel-advisor.zip

What we checked

The repository (454 files) on Oct 29, 2026. Not a full review: 336 of 454 files were not downloaded (large repository; we reviewed the skill folders); it contains compiled binaries or archives we cannot read; it relies on code outside the repository: 336 of 454 repo files are not in our snapshot, including .claude-plugin manifests, the Streamlit app under app/, build scripts/workflows and dated notes; 87 binary zip archives under dist/ (download shelf of packaged skills); Python packages in app/requirements.txt (Streamlit and provider SDKs).

NVIDIA SkillSpector static scan: 195 pattern hits (Agent Snooping 184, Excessive Agency 5, Memory Poisoning 4, Data Exfiltration 1, Anti-Refusal 1). All 195 SkillSpector hits are Markdown text: README links ('skill enumeration') and ordinary product-management phrases such as 'Collect context', 'Clear context', 'Delete context' or 'without warning' in advisory skills.

A review, not a certification. Skills change after we check them — read the files before installing.

License

CC BY-NC-SA 4.0 — non-commercial use only, share-alike; the author forbids selling or repackaging the skills without written permission.

Can it run unattended?

Not really. Most skills are marked interactive and depend on your answers; only the research chains run with limited input.

Alternatives to Product Manager Skills

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FAQ

What is Product Manager Skills?

It is a library of 77 agent skills by Dean Peters that apply established product-management frameworks, such as problem framing, positioning, opportunity solution trees and stakeholder mapping. Each skill guides the agent through an interview and produces a structured output.

How do I install Product Manager Skills?

The repo includes a Claude Code plugin manifest, so you can add it as a plugin marketplace entry, or copy individual skill folders from skills/ into your agent. The README also lists Cursor, Codex, n8n and OpenClaw.

Can I use these skills commercially?

Using them for your own work is allowed, but the license is CC BY-NC-SA 4.0. You may adapt and share them with credit under the same license, and the README forbids selling them or repackaging them into a paid product or course.

Product Manager Skills vs phuryn/pm-skills?

Both cover product-management work. Dean Peters' library focuses on framework-based, interview-style skills with a teaching goal; phuryn's marketplace bundles skills, commands and plugins from discovery to launch. Compare licenses before using either in a business.

Sources: GitHub repository (stars, license, file tree, last push Oct 16, 2026). Review based on the README and SKILL.md files as published.