product-operating-model — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited product-operating-model (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
"A modern product operating model starts with clear strategic intent, continuously discovers customer problems, turns them into value-based bets, structures solutions into product blocks and features, executes with tight GTM and measurement loops, and constantly feeds learning back into strategy."
This is a collection of 6 composable skills for product leadership. Each skill is standalone but designed to work together as a complete operating system.
Install the skill you need:
# Strategy: Where to play and how to win
npx skills add yannickYamo/skills/product-strategy
# Discovery: What problems matter and what solutions might work
npx skills add yannickYamo/skills/product-discovery
# Architecture: What are we building and why now
npx skills add yannickYamo/skills/product-architecture
# Delivery: How do we ship, measure, and learn
npx skills add yannickYamo/skills/product-delivery
# AI-Native: Building products with AI at the core
npx skills add yannickYamo/skills/ai-native-product
# Leadership: Operating as Director/CPO
npx skills add yannickYamo/skills/product-leadershipInstall the complete collection:
npx skills add yannickYamo/skills/product-strategy
npx skills add yannickYamo/skills/product-discovery
npx skills add yannickYamo/skills/product-architecture
npx skills add yannickYamo/skills/product-delivery
npx skills add yannickYamo/skills/ai-native-product
npx skills add yannickYamo/skills/product-leadership┌─────────────────────────────────────────────────────────────────┐
│ STRATEGY SYSTEM │
│ "Where do we play and how do we win?" │
│ Cadence: Quarterly │ Skill: product-strategy │
├─────────────────────────────────────────────────────────────────┤
│ DISCOVERY SYSTEM │
│ "What problems matter and what solutions might work?" │
│ Cadence: Weekly │ Skill: product-discovery │
├─────────────────────────────────────────────────────────────────┤
│ PRODUCT SYSTEM │
│ "What are we building and why now?" │
│ Cadence: Sprint-level │ Skill: product-architecture │
├─────────────────────────────────────────────────────────────────┤
│ DELIVERY SYSTEM │
│ "How do we ship, measure, and learn?" │
│ Cadence: Continuous │ Skill: product-delivery │
└─────────────────────────────────────────────────────────────────┘
↑ │
└──── Learning feeds back ─────┘Overlay skills:
ai-native-product — Modifications for AI-powered productsproduct-leadership — Operating at Director/CPO level| I want to... | Use this skill |
|---|---|
| Define product strategy | product-strategy |
| Create a strategy canvas | product-strategy |
| Define ICP and Anti-ICP | product-strategy |
| Set pricing strategy | product-strategy |
| Choose GTM motion (PLG vs SLG) | product-strategy |
| Structure strategic bets | product-strategy |
| Set up weekly discovery rhythm | product-discovery |
| Build an Opportunity Solution Tree | product-discovery |
| Run assumption tests | product-discovery |
| Create interview snapshots | product-discovery |
| Structure product into blocks | product-architecture |
| Create a bet backlog | product-architecture |
| Build a roadmap | product-architecture |
| Write solution briefs | product-architecture |
| Plan staged rollout | product-delivery |
| Set up metrics hierarchy | product-delivery |
| Run bet retrospectives | product-delivery |
| Execute GTM launch | product-delivery |
| Build AI agent products | ai-native-product |
| Manage agency-control tradeoffs | ai-native-product |
| Set up continuous calibration | ai-native-product |
| Lead product organization | product-leadership |
| Manage product portfolio | product-leadership |
| Communicate to board/executives | product-leadership |
The systems connect in a continuous learning loop:
STRATEGY defines where to play and how to win
↓
DISCOVERY finds problems worth solving
↓
PRODUCT structures bets and roadmap
↓
DELIVERY ships and measures
↓
LEARNING feeds back to STRATEGY
↑
└─────────────────────────────────────┘| From | To | What Flows |
|---|---|---|
| Strategy | Discovery | ICP, JTBD priorities, strategic bets |
| Discovery | Product | Validated opportunities, solution candidates |
| Product | Delivery | Bets, solution briefs, success metrics |
| Delivery | Discovery | Usage data, feedback, outcome evidence |
| Delivery | Strategy | Market learning, competitive signals, bet results |
| Dimension | 0→1 Mode | Scaling Mode | AI-Native Mode |
|---|---|---|---|
| Strategy refresh | Weekly pivots | Quarterly | + Agency-control decisions |
| Team structure | 4-6 builders | Multiple trios | + ML engineers |
| Block focus | Single block | Multi-block | + Calibration metrics |
| Discovery | Founder-led | Systematic | + Observe AI interactions |
| Delivery | Ship daily | Staged rollout | + Agency graduation |
| Planning | 4-6 weeks | 12-18 months | + Continuous calibration |
| Skill | System | What It Contains |
|---|---|---|
product-strategy | Strategy | Mission, ICP, JTBD, Positioning, Pricing, GTM, Bets |
product-discovery | Discovery | Continuous discovery, OST, Assumption testing |
product-architecture | Product | Blocks, Bet backlog, Roadmap, Solution briefs |
product-delivery | Delivery | Dual-track, Staged rollout, Measurement, GTM execution |
| Skill | Purpose | When to Use |
|---|---|---|
ai-native-product | AI product development | Building products with AI at the core |
product-leadership | Director/CPO operating | Leading product organizations |
Each skill includes ready-to-use templates:
product-strategy:
product-discovery:
product-architecture:
product-delivery:
ai-native-product:
product-leadership:
For strategy work:
"Help me create a strategy canvas for [product]"
"Define ICP and Anti-ICP for [market]"
"Structure 3 strategic bets for [objective]"For discovery work:
"Set up my weekly discovery rhythm"
"Build an OST for [outcome metric]"
"Design an assumption test for [hypothesis]"For product architecture:
"Help me structure [product] into capability blocks"
"Convert this opportunity into a bet"
"Write a solution brief for [feature]"For delivery:
"Plan a staged rollout for [feature]"
"Set up metrics hierarchy for [product]"
"Run a bet retrospective"For AI products:
"I'm building an AI agent — what's different?"
"Help me plan agency graduation for [feature]"
"Set up continuous calibration"For leadership:
"How do I allocate resources across products?"
"Prepare board-level metrics"
"Design my weekly operating rhythm"This framework synthesizes insights from:
Author: Yannick Maurice Background: 13+ years in product leadership across semiconductors, LiDAR, autonomous vehicles, energy systems, and AI Philosophy: Learning velocity over planning perfection
MIT License — use freely, adapt to your context, share improvements.
Modern Product Operating Model v1.0 — January 2026
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.