docs: update all documentation and add AI tooling configs

- Rewrite README.md with current architecture, features and stack
- Update docs/API.md with all current endpoints (corporate, BI, client 360)
- Update docs/ARCHITECTURE.md with cache, modular queries, services, ETL
- Update docs/GUIA-USUARIO.md for all roles (admin, corporate, agente)
- Add docs/INDEX.md documentation index
- Add PROJETO.md comprehensive project reference
- Add BI-CCC-Implementation-Guide.md
- Include AI agent configs (.claude, .agents, .gemini, _bmad)
- Add netbird VPN configuration
- Add status report

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

.claude/skills/bmad-product-brief-preview/prompts/contextual-discovery.md

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+**Language:** Use `{communication_language}` for all output.
+**Output Language:** Use `{document_output_language}` for documents.
+**Output Location:** `{planning_artifacts}`
+
+# Stage 2: Contextual Discovery
+
+**Goal:** Armed with the user's stated intent, intelligently gather and synthesize all available context — documents, project knowledge, and web research — so later stages work from a rich, relevant foundation.
+
+## Subagent Fan-Out
+
+Now that you know what the brief is about, fan out subagents in parallel to gather context. Each subagent receives the product intent summary so it knows what's relevant.
+
+**Launch in parallel:**
+
+1. **Artifact Analyzer** (`../agents/artifact-analyzer.md`) — Scans `{planning_artifacts}` and `{project_knowledge}` for relevant documents. Also scans any specific paths the user provided. Returns structured synthesis of what it found.
+
+2. **Web Researcher** (`../agents/web-researcher.md`) — Searches for competitive landscape, market context, trends, and relevant industry data. Returns structured findings scoped to the product domain.
+
+### Graceful Degradation
+
+If subagents are unavailable or fail:
+- Read only the most relevant 1-2 documents in the main context and summarize (don't full-read everything — limit context impact in degraded mode)
+- Do a few targeted web searches inline
+- Never block the workflow because a subagent feature is unavailable
+
+## Synthesis
+
+Once subagent results return (or inline scanning completes):
+
+1. **Merge findings** with what the user already told you
+2. **Identify gaps** — what do you still need to know to write a solid brief?
+3. **Note surprises** — anything from research that contradicts or enriches the user's assumptions?
+
+## Mode-Specific Behavior
+
+**Guided mode:**
+- Present a concise summary of what you found: "Here's what I learned from your documents and web research..."
+- Highlight anything surprising or worth discussing
+- Share the gaps you've identified
+- Ask: "Anything else you'd like to add, or shall we move on to filling in the details?"
+- Route to `guided-elicitation.md`
+
+**Yolo mode:**
+- Absorb all findings silently
+- Skip directly to `draft-and-review.md` — you have enough to draft
+- The user will refine later
+
+**Headless mode:**
+- Absorb all findings
+- Skip directly to `draft-and-review.md`
+- No interaction
+
+## Stage Complete
+
+This stage is complete when subagent results (or inline scanning fallback) have returned and findings are merged with user context. Route per mode:
+- **Guided** → `guided-elicitation.md`
+- **Yolo / Headless** → `draft-and-review.md`