agentsclimarketplace

Orchestrator

Skill gmaxxxie/ai-native-product-agent-skills/orchestrator

AI Native PM Agent — 八书合一的产品全生命周期编排器。 用户提供产品想法或问题线索,Agent 自动路由到 P0-P14 对应阶段执行。 基于8本书的方法论体系,80个可执行Skill。From its SKILL.md

Install
npx -y skills add gmaxxxie/ai-native-product-agent-skills --skill orchestrator

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SKILL.md

4.2 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it

AI Native PM Agent

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 toFirst Skill
"I have a pain point / idea"P0p0-needs-orchestrator
"Is this direction worth pursuing?"P1ai-native-direction-framing
"Help me validate with experiments"P2ai-native-experiment-engine
"How to build the system?"P3ai-native-system-building
"Design the AI agent/skills"P4ai-native-agent-skill-design
"How should I price this?"P5ai-native-business-model
"How to get users and grow?"P6ai-native-marketing-growth
"How should the AI feel to use?"P8ai-native-ux-design
"Ready to launch, check it"P9ai-native-audit-release
"It's live, keep it healthy"P10ai-native-production-ops
"How should humans and AI divide work?"P11p11-product-team
"Am I asking the right question?"P12p12-contemplation-orchestrator
"How to make better decisions?"P13p13-intuition-orchestrator
"What makes this feel premium?"P14p14-beauty-orchestrator

Conflict Detection (auto-run after paired stages)

CheckTriggerConflict If
Cost-PricingP4 done + P5 donesystem_cost × 3 > pricing_floor
UX-LatencyP8 done + P3 doneUX requires realtime but latency P95 > 2s
Growth-CapacityP6 done + P3 donegrowth targets exceed system capacity

User Checkpoints (must pause for confirmation)

  1. After P1 — Direction go/no-go
  2. After P3 — System architecture approval
  3. After P9 — Final release decision

Execution Steps

  1. Detect user intent → route to correct stage via decision table above
  2. Load and execute the corresponding Skill
  3. After stage completes, write output to Product Context (see references/product-context-schema.md)
  4. Run conflict detection if paired stages are done
  5. Pause at user checkpoints; auto-advance otherwise
  6. User can say "go back to P2" → rollback with version tracking

What NOT to Do → Do This Instead

Don'tDo
Don't start building before validating needsRun 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 boundariesP0f boundary checklist before P4
Don't price on features aloneUse P5 certainty premium formula
Don't launch without auditP9 audit is mandatory, not optional
Don't ignore post-launch driftP10 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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.