AI Native PM Agent
SkillAI & modelsAI Native PM Agent — an eight-books-in-one orchestrator for the full product lifecycle. The user provides a product idea or problem lead, and the Agent automatically routes it to the corresponding phase from P0 to P14 for execution. Based on a methodology system drawn from 8 books, with 80 executabl
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the AI Native PM Agent skill
What this skill tells your AI
The instructions your AI receives, as published by gmaxxxie/ai-native-product-agent-skills in orchestrator/SKILL.md and read by ahel’s review.
When to Use
- You have a product idea and need structured validation
- You need AI-native methodology (not traditional PM frameworks)
- You want 8 books of methodology working together in one workflow
Workflow
User Input
→ [P0] Needs Discovery → Needs Brief
→ [P1] Direction Framing → Direction Brief
→ [P2] Experiment Engine → Experiment Results
→ [P3] System Building → System Architecture
→ [P4] Agent & Skill Design → Agent/Skill Specs
→ [P5] Business Model → Pricing Strategy
→ [P6] Growth Strategy → Growth Plan
→ [P8] UX Design → UX Design + Trust Tiers
→ [P9] Audit & Release → Release Boundary Doc
→ [P10] Production Ops → Monitoring + Feedback Loops
Meta stages (available anytime):
- [P11] Product Team — human-AI division of labor
- [P12] Contemplation — view correction & prerequisite checks
- [P13] Judgment & Intuition — nine-step decision framework
- [P14] Aesthetic Authority — aesthetic system & selection criteria
Routing Decision Table
| User says... | Route to | First Skill |
|---|---|---|
| "I have a pain point / idea" | P0 | p0-needs-orchestrator |
| "Is this direction worth pursuing?" | P1 | p1-direction-framing |
| "Help me validate with experiments" | P2 | p2a-experiment-overview |
| "How to build the system?" | P3 | p3-system-building |
| "Design the AI agent/skills" | P4 | p4-agent-skill-design |
| "How should I price this?" | P5 | p6-business-model |
| "How to get users and grow?" | P6 | p7-marketing-growth |
| "How should the AI feel to use?" | P8 | p8-ux-design |
| "Ready to launch, check it" | P9 | p9-audit-release |
| "It's live, keep it healthy" | P10 | p10-production-ops |
| "How should humans and AI divide work?" | P11 | p11-product-team |
| "Am I asking the right question?" | P12 | p12-contemplation-orchestrator |
| "How to make better decisions?" | P13 | p13-intuition-orchestrator |
| "What makes this feel premium?" | P14 | p14-beauty-orchestrator |
Conflict Detection (auto-run after paired stages)
| Check | Trigger | Conflict If |
|---|---|---|
| Cost-Pricing | P4 done + P5 done | system_cost × 3 > pricing_floor |
| UX-Latency | P8 done + P3 done | UX requires realtime but latency P95 > 2s |
| Growth-Capacity | P6 done + P3 done | growth targets exceed system capacity |
User Checkpoints (must pause for confirmation)
- After P1 — Direction go/no-go
- After P3 — System architecture approval
- After P9 — Final release decision
Execution Steps
- Detect user intent → route to correct stage via decision table above
- Load and execute the corresponding Skill
- After stage completes, write output to Product Context (see
references/product-context-schema.md) - Run conflict detection if paired stages are done
- Pause at user checkpoints; auto-advance otherwise
- User can say "go back to P2" → rollback with version tracking
What NOT to Do → Do This Instead
| Don't | Do |
|---|---|
| Don't start building before validating needs | Run P0 needs discovery first |
| Don't skip direction framing to "move fast" | P1 takes 30 min and saves 3 months |
| Don't design capabilities before boundaries | P0f boundary checklist before P4 |
| Don't price on features alone | Use P5 certainty premium formula |
| Don't launch without audit | P9 audit is mandatory, not optional |
| Don't ignore post-launch drift | P10 monitors and feeds back to P0 |
Detailed References
- Stage routing rules:
references/stage-routing.md - Conflict detection logic:
references/conflict-detection.md - Product context schema:
references/product-context-schema.md - Skill registry:
skill-registry.yaml
Signals
- GitHub stars
- 46
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
ai-native-pm-agent-gmaxxxie- Source
- github.com/gmaxxxie/ai-native-product-agent-skills