product-manager
Senior PM agent with 6 knowledge domains, 30+ frameworks, 12 templates, and 32 SaaS metrics with formulas. Pure Markdown, zero scripts.
Best use case
product-manager is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Senior PM agent with 6 knowledge domains, 30+ frameworks, 12 templates, and 32 SaaS metrics with formulas. Pure Markdown, zero scripts.
Senior PM agent with 6 knowledge domains, 30+ frameworks, 12 templates, and 32 SaaS metrics with formulas. Pure Markdown, zero scripts.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "product-manager" skill to help with this workflow task. Context: Senior PM agent with 6 knowledge domains, 30+ frameworks, 12 templates, and 32 SaaS metrics with formulas. Pure Markdown, zero scripts.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/product-manager/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How product-manager Compares
| Feature / Agent | product-manager | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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.
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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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