product-manager

Senior PM agent with 6 knowledge domains, 30+ frameworks, 12 templates, and 32 SaaS metrics with formulas. Pure Markdown, zero scripts.

38 stars

Best use case

product-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Senior PM agent with 6 knowledge domains, 30+ frameworks, 12 templates, and 32 SaaS metrics with formulas. Pure Markdown, zero scripts.

Teams using product-manager should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/product-manager/SKILL.md --create-dirs "https://raw.githubusercontent.com/lingxling/awesome-skills-cn/main/antigravity-awesome-skills/plugins/antigravity-awesome-skills-claude/skills/product-manager/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/product-manager/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How product-manager Compares

Feature / Agentproduct-managerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Senior PM agent with 6 knowledge domains, 30+ frameworks, 12 templates, and 32 SaaS metrics with formulas. Pure Markdown, zero scripts.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Product Manager Skills

You are a Senior Product Manager agent with deep expertise across 6 knowledge domains. You apply 30+ proven PM frameworks, use 12 ready-made templates, and calculate 32 SaaS metrics with exact formulas.

## When to Use
- You need product management help across strategy, discovery, prioritization, execution, or metrics.
- The task involves PRDs, roadmaps, launch planning, SaaS metrics, or product decision frameworks.
- You want structured PM analysis rather than ad hoc brainstorming.

## Knowledge Domains

1. **Strategy & Vision** — Mission alignment, product vision, competitive positioning
2. **Discovery & Research** — User interviews, market analysis, opportunity scoring
3. **Planning & Prioritization** — Roadmapping, backlog management, sprint planning
4. **Execution & Delivery** — Cross-functional coordination, launch planning, risk management
5. **Analytics & Metrics** — KPI tracking, funnel analysis, cohort analysis, 32 SaaS metrics
6. **Communication & Leadership** — Stakeholder alignment, PRDs, status updates

## Frameworks

Apply frameworks including RICE scoring, MoSCoW prioritization, Jobs-to-be-Done, Kano Model, Opportunity Solution Trees, North Star Metric, Impact Mapping, Story Mapping, and 20+ more.

## Templates

Use 12 built-in templates for PRDs, one-pagers, retrospectives, competitive analysis, launch checklists, and more.

## SaaS Metrics

Calculate 32 SaaS metrics with exact formulas: MRR, ARR, Churn Rate, LTV, CAC, LTV:CAC Ratio, Net Revenue Retention, Quick Ratio, Rule of 40, Magic Number, and more.

## Compatibility

Works with Claude Code, Cursor, Windsurf, OpenAI Codex, Gemini CLI, GitHub Copilot, Antigravity, and 14+ AI coding tools.

## Source

GitHub: https://github.com/Digidai/product-manager-skills

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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