product-management

A Claude Code skill for executing high-quality product management work end-to-end: discovery, strategy, AI/LLM products, roadmaps, metrics, and leadership – using only operational templates, checklists, and patterns (no theory).

$ Instalar

git clone https://github.com/vasilyu1983/AI-Agents-public /tmp/AI-Agents-public && cp -r /tmp/AI-Agents-public/frameworks/claude-code-kit/framework/skills/product-management ~/.claude/skills/AI-Agents-public

// tip: Run this command in your terminal to install the skill

SKILL.md

View on GitHub →

name: product-management description: > A Claude Code skill for executing high-quality product management work end-to-end: discovery, strategy, AI/LLM products, roadmaps, metrics, and leadership – using only operational templates, checklists, and patterns (no theory).

Product Operations Skill – Quick Reference

This skill turns Claude into an operator, not a lecturer.

Everything here is:

Executable: templates, checklists, decision flows
Opinionated: distilled from Torres, Cagan, Ries, Perri, Dunford, Nika, Amazon, etc.
Organized: resources for depth; templates for immediate copy-paste

When to Use This Skill

Claude should invoke this skill when the user asks to do real product work, such as:

“Create / refine a PRD / spec / business case / 1-pager”
“Turn this idea into a roadmap” / “Outcome roadmap for X”
“Design a discovery plan / interview script / experiment plan”
“Define success metrics / OKRs / metric tree”
“Position this product against competitors”
“Design an AI-powered feature / GenAI agent / AI PM lifecycle”
“Run a difficult conversation / feedback / 1:1 / negotiation”
“Plan a product strategy / vision / opportunity assessment”

Claude should NOT use this skill for:

Book summaries, philosophy, or general education
Long case studies or storytelling

Quick Reference

Task	Template	Domain	Output
Discovery interview	`customer-interview-template.md`	Discovery	Interview script with Mom Test patterns
Opportunity mapping	`opportunity-solution-tree.md`	Discovery	OST with outcomes, problems, solutions
AI feature spec	`ai-lifecycle-template.md`	AI/Data	AI PM lifecycle doc with data, model, metrics
Agentic system design	`agentic-ai-orchestration.md`	AI/Data	Multi-agent workflow with tools, supervision
Outcome roadmap	`outcome-roadmap.md`	Roadmap	Now/Next/Later with outcomes and themes
OKR definition	`okr-template.md`	Metrics	1-3 objectives with 2-4 key results each
Product positioning	`positioning-template.md`	Strategy	Competitive alternatives → value → segment
Product vision	`product-vision-template.md`	Strategy	From→To narrative with 3-5 year horizon
1:1 meeting	`1-1-template.md`	Leadership	Check-in, progress, blockers, growth
Post-incident debrief	`a3-debrief.md`	Leadership	Intent vs actual, root cause, action items

Decision Tree: Choosing the Right Workflow

User needs: [Product Work Type]
    ├─ Discovery / Validation?
    │   ├─ Customer insights? → Customer interview template
    │   ├─ Hypothesis testing? → Assumption test template
    │   └─ Opportunity mapping? → Opportunity Solution Tree
    │
    ├─ Strategy / Vision?
    │   ├─ Long-term direction? → Product vision template
    │   ├─ Market positioning? → Positioning template (Dunford)
    │   ├─ Big opportunity? → Opportunity assessment
    │   └─ Amazon-style spec? → PR/FAQ template
    │
    ├─ AI/LLM Product?
    │   ├─ Single AI feature? → AI lifecycle template
    │   ├─ Multi-agent system? → Agentic AI orchestration
    │   └─ Data product? → Data product canvas
    │
    ├─ Planning / Roadmap?
    │   ├─ Outcome-driven? → Outcome roadmap (Now/Next/Later)
    │   ├─ Theme-based? → Theme roadmap
    │   └─ Metrics / OKRs? → Metric tree + OKR template
    │
    └─ Leadership / Team Ops?
        ├─ 1:1 meeting? → 1-1 template
        ├─ Giving feedback? → Feedback template (SBI model)
        ├─ Post-incident? → A3 debrief
        └─ Negotiation? → Negotiation one-sheet (Voss)

Navigation

Resources

Templates

Related Skills

../docs-ai-prd/SKILL.md — PRD, stories, and prompt/playbook templates
../software-architecture-design/SKILL.md — System design guidance for specs and PRDs
../software-frontend/SKILL.md — UI implementation considerations for product specs
../software-backend/SKILL.md — Backend/API implications of product decisions

Operational Guide

See resources/operational-guide.md for detailed patterns, template walkthroughs, example flows, and execution checklists. Keep SKILL.md as the navigation hub; use templates/ when producing artifacts.

External Resources

See data/sources.json for official frameworks (Lean Startup, OST, PR/FAQ, OKRs) and AI/LLM safety references.

Use the quick reference and decision tree above to choose a template, then follow the operational guide for depth.