feat: refactor 30+ skills to Anthropic progressive disclosure pattern

- All SKILL.md files now <500 lines (avg reduction 69%)
- Detailed content extracted to references/ subdirectories
- Frontmatter standardised: only name + description (Anthropic standard)
- New skills: brand-guidelines, spec-coauthor, report-templates, skill-creator
- Design skills: anti-slop guidelines, premium-proposals reference
- Removed non-standard frontmatter fields (triggers, version, author, category)

Plugins affected: infraestrutura, marketing, dev-tools, crm-ops, gestao,
core-tools, negocio, perfex-dev, wordpress, design-media

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

negocio/skills/product/references/metricas-produto.md

@@ -0,0 +1,83 @@
+# Product - Metricas de Produto
+
+## AARRR Pirate Metrics
+
+| Fase | Metrica | Target |
+|------|---------|--------|
+| **Acquisition** | Signups/semana | +20%/mes |
+| **Activation** | Setup completo | > 40% |
+| **Retention** | D7 retention | > 30% |
+| **Revenue** | Conversion free->paid | > 3% |
+| **Referral** | NPS | > 40 |
+
+## Product Health
+
+### Engagement
+- DAU/MAU ratio (stickiness): > 20%
+- Session duration: Sector-dependent
+- Features usado/session: > 3
+
+### Adoption
+- Time to first value: < 10 min
+- Feature adoption (30 dias): > 30%
+- Power users (5+ dias/semana): > 10%
+
+### Quality
+- Error rate: < 1%
+- Support tickets/100 users: < 5
+- CSAT: > 4/5
+
+## Outcomes vs Outputs
+
+```
+ERRADO (Output-driven):
+"Lancar 10 features este trimestre"
+
+CERTO (Outcome-driven):
+"Aumentar retention D30 de 20% para 35% (via engagement features)"
+
+Medir:
+- North Star Metric (ex: DAU/MAU)
+- Leading indicators (ex: time-to-value)
+- Lagging indicators (ex: churn)
+```
+
+## Discovery - Pain Points
+
+```
+Perguntas a fazer:
+1. O que frustra o utilizador actualmente?
+2. Que workarounds usa hoje?
+3. Quanto tempo/dinheiro perde com o problema?
+4. Qual a frequencia do problema?
+5. O que tentou fazer para resolver?
+
+Evidencia:
+- [ ] 5+ entrevistas com users
+- [ ] Analytics de uso (onde abandonam?)
+- [ ] Tickets de suporte relacionados
+- [ ] Pesquisa concorrencia (como resolvem?)
+```
+
+## Validation Framework
+
+### Desirability (Users querem?)
+- Problem interviews (10+)
+- Solution interviews (5+)
+- Survey (50+ respostas)
+- Prototype test (usability)
+- Evidence: X% users pagaria, Y% usaria diario
+
+### Viability (Negocio faz sentido?)
+- Market size (TAM/SAM/SOM)
+- Revenue model claro
+- Unit economics positivos
+- Payback period aceitavel
+- Target: ROI > 3x em 12 meses
+
+### Feasibility (Conseguimos construir?)
+- Technical spike completo
+- Dependencies mapeadas
+- Resources disponiveis
+- Timeline realista
+- Risk assessment: Alto/Medio/Baixo