product-manager-skills
by Digidaiproduct-manager-skills is a PM operator skill for Claude Code, Codex, Cursor, and Windsurf. It helps with PRD critique, SaaS metric diagnosis, roadmap tradeoffs, discovery planning, PM coaching, and PLG strategy. Built for product judgment, explicit assumptions, and sharper decisions for Product Management work.
This skill scores 83/100, which means it is a solid listing candidate for directory users. The repository shows real PM workflows, clear trigger phrases, and enough operational guidance that an agent can do materially better than with a generic prompt, though users should still expect some setup friction because there is no install command and the skill relies on Markdown-only instructions and examples.
- Strong triggerability: SKILL.md names concrete use cases such as SaaS metrics diagnosis, PRD critique, roadmap planning, discovery, career coaching, and PLG strategy.
- Good operational depth: the repo includes 7 knowledge domains, 12 templates, 40+ frameworks, and example workflows like PM sprint, SaaS health diagnostic, and PRD review.
- Useful install decision value: README and starter prompts show exactly what to ask first, helping users judge fit before installing.
- No install command in SKILL.md, so users need to rely on the repository instructions and their host tool’s skill-loading process.
- Some evidence of a test-like or experimental posture, so users should expect an opinionated workflow skill rather than a polished productized package.
Overview of product-manager-skills skill
What product-manager-skills is for
product-manager-skills is a PM operator skill for Claude Code, Codex, Cursor, and Windsurf. It helps you turn vague product input into decisions: PRD critique, SaaS metric diagnosis, roadmap tradeoffs, discovery planning, PM coaching, and PLG strategy. The product-manager-skills skill is best for people who want sharper product judgment, not a generic writing template.
Who should install it
Install product-manager-skills if you regularly work with product requirements, metrics, prioritization, or discovery and want the model to push back when the framing is weak. It fits PMs, founders, product ops, growth leads, and engineers who need better product reasoning for Product Management work.
What makes it different
The core differentiators are opinionated stance, explicit tradeoffs, and compression. Instead of filling a document with plausible prose, it labels assumptions, challenges solution-first prompts, and aims for decision-ready output. The repo also includes multiple domains, reusable templates, and worked examples, which makes the product-manager-skills guide more useful than a single-shot prompt.
How to Use product-manager-skills skill
Install and verify the skill
Use the install path supported by your host:
- Claude Code / OpenClaw:
clawhub install product-manager-skills - Codex / Cursor / Windsurf:
npx skills add Digidai/product-manager-skills
After product-manager-skills install, confirm the skill is loaded before relying on it for a long workflow. If your tool supports local skill browsing, open the repo files and verify the current version rather than trusting a cached copy.
Start with the right inputs
The skill works best when you give it a decision-shaped request, not a feature wish. Strong inputs include:
- the business goal
- the artifact you want, such as PRD, roadmap, or interview plan
- the available evidence, such as metrics, customer quotes, or constraints
- what kind of pushback you want
For example, instead of “help with onboarding,” use: “Take this from problem to roadmap for reducing onboarding drop-off. Here are our activation metrics, target segment, and known constraints. Challenge any solution smuggling.” That is better product-manager-skills usage because it gives the model a job and a boundary.
Read these files first
For practical product-manager-skills guide reading, start with:
SKILL.mdfor routing, identity, and interaction rulesSTARTER-PROMPTS.mdfor prompts that already fit the skillexamples/prd-review.md,examples/saas-health-diagnostic.md, andexamples/growth-plg-readiness.mdfor output shapeknowledge/andtemplates/if you want to adapt the skill to your own PM workflow
The examples matter because they show how the skill handles ambiguity, not just what topics it covers.
Workflow that gets better results
Use a three-step loop:
- State the PM decision or artifact.
- Provide evidence and constraints.
- Ask for critique, not just drafting.
That workflow is especially important for product-manager-skills for Product Management, because the skill is designed to identify weak framing before producing a polished answer. If you skip the evidence, expect more assumptions and less precision.
product-manager-skills skill FAQ
Is product-manager-skills only for PMs?
No. It is optimized for PM-style reasoning, but founders, analysts, designers, and engineers can use it when they need structured product judgment. The main requirement is that you care about tradeoffs and outcomes, not just content generation.
How is it different from a normal prompt?
A normal prompt may produce a one-off response. product-manager-skills adds reusable product logic: framing checks, opinionated tradeoff handling, domain-specific workflows, and stronger defaults for PM decisions. That usually means less prompting overhead and less “generic AI advice” in the output.
Is it beginner friendly?
Yes, if you can describe the problem in plain language. It is especially beginner friendly when you want the model to help you think through a PRD, roadmap, or metric set. It is less helpful if you expect it to invent missing context without being told what matters.
When should I not use it?
Do not use product-manager-skills when the task is purely stylistic, extremely narrow, or already fully specified. It is not the right fit if you want a final answer with no critique, no assumptions, and no tradeoff discussion.
How to Improve product-manager-skills skill
Give it better raw material
The fastest way to improve product-manager-skills results is to replace vague asks with concrete inputs. Good inputs include baseline metrics, user segment, current workflow, constraints, and the decision you want to make. For example, “MRR is $50k, churn is 8%, CAC is $500, and activation is dropping after signup” is far stronger than “our growth is bad.”
Ask for the kind of pushback you want
This skill performs best when you explicitly request critique. If you want a PRD review, ask it to call out solution smuggling, missing success metrics, unclear scope, and hidden assumptions. If you want roadmap help, ask it to separate evidence from stakeholder pressure. That makes the product-manager-skills skill more decisive and more useful on the first pass.
Iterate with sharper constraints
Common failure mode: broad prompts that mix discovery, strategy, execution, and career coaching in one request. Split those when possible. If the first answer is too general, add a tighter constraint like “optimize for retention, not acquisition” or “assume a B2B SaaS with a 30-day sales cycle.” That is usually the most effective product-manager-skills usage improvement.
Use examples and templates deliberately
If you want more consistent output, point the model at a matching example or template before asking it to generate. The repo’s examples/ folder is especially useful for showing the level of specificity expected. For repeated workflows, reuse the same structure and vary only the evidence block; that will usually improve the quality of product-manager-skills guide outputs more than rewriting the whole prompt each time.