Marketing Maestro routes a marketing problem before selecting tactics. The package connects diagnosis, specialist guidance, structured artifacts, and validation while keeping business, legal, and customer truth outside the validator’s claims.
Public case study
Marketing Maestro
A marketing decision, execution, measurement, operations, and governance skill package for AI agents.
Active Python Schemas Validators Skill package Tests
Case study
Project breakdown
Marketing Maestro product flow
Repository-supported product flow for Marketing Maestro.
- 1 Frame
- 2 Diagnose
- 3 Route roles
- 4 Design execution
- 5 Review quality
Relationships
- Frame Diagnose
- Diagnose Route roles
- Route roles Design execution
- Design execution Review quality
Frame to Diagnose to Route roles to Design execution to Review quality
Marketing Maestro architecture
Repository-supported architecture view for Marketing Maestro.
- Skill package
- References
- Artifacts
- Validators
- Tests
Relationships
- Skill package References
- References Artifacts
- Artifacts Validators
- Validators Tests
Skill package to References to Artifacts to Validators to Tests
Problem
Marketing Maestro introduces a diagnostic and decision sequence before execution so work can be routed to the right marketing discipline and artifact.
Overview
Marketing requests often arrive as channel tactics even when the underlying issue is positioning, research, operations, measurement, governance, or lifecycle design.
Product reasoning
Structural validation cannot prove customer truth, statistical validity, legal compliance, platform approval, product-market fit, or commercial success.
Product decisions
The package remains one installable skill while detailed disciplines are progressively disclosed. Core artifacts make assumptions, owners, metrics, risks, and evidence explicit.
Technical architecture
One skill entrypoint routes requests across references, taxonomies, schemas, examples, rubrics, validators, and tests covering strategy through operations.
Execution and delivery
The repository documents diagnostic routing, a broad but structured coverage map, campaign and lifecycle artifacts, JSON schemas, example outputs, validation commands, and regression tests.
Current evidence
The current public package can be installed independently and validated offline with Python tooling. Its safety section clearly separates structural checks from business or legal proof.
Learnings
Breadth is manageable when a system diagnoses before prescribing and uses shared artifact contracts across specialist marketing work.
Artifacts
Product evidence
documentation
Diagnosis-first marketing sequence
The Skill entrypoint requires framing, diagnosis, context, role routing, evidence, strategic choice, economics, execution, measurement, compliance, quality evaluation, and learning.
Marketing recommendations are routed through business and evidence decisions before channel tactics are treated as execution-ready.
architecture
Progressively loaded marketing system
The architecture keeps stable control logic in one Skill entrypoint while detailed domain, industry, business-model, platform, measurement, data, compliance, and quality guidance lives in directly linked references.
Full-spectrum coverage remains one installable package without loading every specialist discipline for every request.
configuration
Marketing artifact contracts
The repository maps core artifacts to examples, Draft 2020-12 JSON Schemas, deterministic validators, rubrics, taxonomies, and documentation.
Diagnosis, evidence, strategy, economics, budget, campaign, journey, measurement, data, compliance, maturity, and quality handoffs have inspectable contracts.
documentation
Decision-quality readiness model
The evaluation model covers evidence, economics, execution, measurement, data, compliance, ownership, accessibility, localization, freshness, and decision usefulness.
Any critical rating or unresolved critical gap prevents an execution-ready conclusion.
Test and validation
test
Schema and semantic failure tests
The suite validates examples and routing, then rejects unsupported recommendations, incomplete economic scenarios, unreconciled budgets, missing journey suppression, unsafe creative scale decisions, incomplete data models, and insufficient compliance approvals.
Regression coverage exercises marketing decision semantics and safety failures, not only JSON structure.
Release and distribution
release
Marketing Maestro v2.0.0 record
The changelog records the evidence-led decision architecture, deterministic routing, context packs, ten new schemas and validators, negative regression tests, and explicit readiness gates.
The public v2.0.0 release documents the transition from broad guidance to a packaged marketing decision and operating system.
Current limitations
- The Skill cannot publish campaigns, upload audiences, change bids, contact people, alter tracking, or access accounts without explicit authorization and an appropriate connected tool.
- Structural validation does not prove product-market fit, customer truth, statistical validity, legal compliance, platform approval, attribution, incrementality, or commercial success.
- Platform, legal, measurement, and standards claims remain date-sensitive and require current official-source verification; no reviewable product screenshot is published upstream.
Overview
- Role
- Product architecture, marketing systems design, packaging, and validation
- Complexity
- High
- Detail level
- Case study
Responsibilities
- Problem definition
- Scope definition
- Product architecture
- Technical delivery
- Validation
Outcome
Marketing Maestro provides one installable marketing skill with diagnostic routing, structured artifacts, validators, rubrics, tests, and explicit safety limits.