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Digidai/product-manager-skills

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Turn AI coding tools into a rigorous product manager operator.

SkillsAgent Skills 105Open source
View on GitHub
Updated 2026-06-16
Digidai/product-manager-skills GitHub repository

What is Digidai/product-manager-skills?

Digidai/product-manager-skills is a collection of human-readable Markdown instructions that enhance AI coding assistants with product management capabilities. It enables tasks such as turning vague requests into framed problems with measurable outcomes, reviewing PRDs for issues like solution smuggling, and diagnosing SaaS metrics with specific calculations rather than generic advice.

The pack works by providing starter prompts and examples that users paste directly into supported AI tools. Optional helper scripts exist for manual updates, but the core remains static Markdown with no automatic execution. It emphasizes tradeoffs, baselines, and concrete action plans across discovery, prioritization, and coaching scenarios.

It is designed for product managers, founders, and team leads who already use AI coding environments and want consistent, inspectable support for professional workflows instead of polished but shallow outputs.

What you can build with Digidai/product-manager-skills

SaaS metrics diagnostic

Paste raw numbers like MRR, churn, and CAC to receive calculations on LTV, payback period, and retention risks with cohort-focused recommendations.

PRD peer review

Submit a draft PRD to identify weak framing, missing success metrics, overscoping, and delivery risks, then receive a thinner first-slice suggestion.

Director-level coaching

Describe current experience and target role to get gap analysis, story collection plans, and weekly visibility practices for org-level influence.

Install Digidai/product-manager-skills

Install
npx skills add Digidai/product-manager-skills
Quick start
clawhub install product-manager-skills
  1. 1Choose your AI tool and run the matching install command shown in the repository.
  2. 2Confirm the skill files appear in your workspace or agent context.
  3. 3Open a new chat and paste one of the starter prompts from STARTER-PROMPTS.md.
  4. 4Replace the example metrics or PRD text with your own data and submit.
  5. 5Review the structured output and iterate by asking for deeper tradeoffs or revised plans.

Digidai/product-manager-skills: pros & cons

Pros

  • +Pure Markdown format allows full inspection and customization without hidden logic.
  • +Prompts target specific PM pain points with measurable outputs instead of vague suggestions.
  • +Works across multiple popular AI coding environments with simple install steps.
  • +Includes worked examples for SaaS analysis, PRD critique, and career coaching.

Cons

  • Requires separate installation per tool and manual updates for new versions.
  • Limited to text-based workflows; no built-in data connectors or visualizations.
  • Best results depend on the underlying AI model's ability to follow structured instructions.
Did you find this helpful?

Frequently asked questions

No, it consists of static Markdown files with optional manual helper scripts only.

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