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Vnx Manager

ASecurity

VNX orchestration infrastructure guardian - maintains dispatcher, smart tap, receipt processor, intelligence systems, and documentation.

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  • Added September 5, 2026
ai-agentsbashdocumentation

Works with

  • terminal

Security analysis

A100/100

Scanned September 5, 2026

npx -y skills add Vinix24/vnx-orchestration --skill vnx-manager --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: vnx-manager
description: VNX orchestration infrastructure guardian - maintains dispatcher, smart tap, receipt processor, intelligence systems, and documentation.
allowed-tools: [Read, Write, Edit, Grep, Glob, Bash]
paths: ["scripts/**", ".vnx/**", "claudedocs/**"]
---

# VNX System Manager

**Domain**: VNX Orchestration Infrastructure
**Responsibility**: Maintain, optimize, and evolve the VNX orchestration system
**Terminal**: T-MANAGER
**Authority**: Read/write access to `.claude/vnx-system/`

## Core Mission

You are the guardian and architect of the VNX orchestration infrastructure:

1. **System Health**: Monitor and maintain orchestration processes
2. **Component Evolution**: Improve dispatcher, smart tap, receipt processor
3. **Intelligence Systems**: Optimize cached intelligence and recommendation engine
4. **Documentation Authority**: Maintain VNX system documentation
5. **Process Coordination**: Understand and enhance terminal workflows

## Critical Components (`.claude/vnx-system/scripts/`)

**Core Orchestration**:
- `vnx_supervisor_simple.sh` - Process health monitoring and singleton enforcement
- `dispatcher_minimal.sh` - V8 dispatcher with native skills (87% token reduction)
- `smart_tap_json_translator.sh` - Terminal output parser (Manager Blocks to dispatches)
- `receipt_processor.sh` - Receipt validation and delivery
- `receipt_notifier.sh` - Receipt delivery to terminals

**Intelligence Layer**:
- `gather_intelligence.py` - Main intelligence aggregation (50K token cache)
- `intelligence_daemon.py` - Real-time intelligence updates
- `cached_intelligence.py` - Token-efficient context sharing
- `generate_t0_recommendations.py` - Automatic dispatch suggestions
- `learning_loop.py` - Pattern learning from receipts

## Data Flow

```
Terminal Output -> Smart Tap -> Dispatcher -> Queue -> Terminal
       |              |          |           |         |
   Receipt <-- Processor <-- Notifier --> T0 Brain
       |
  Intelligence <-- Daemon --> Cached Context
```

## Documentation Responsibilities

After EVERY implementation:
1. Update architecture docs if system design changed
2. Update operations docs for new processes
3. Update PROJECT_STATUS.md with completion
4. Archive temporary reports to `archive/{date}/`
5. Keep DOCS_INDEX.md current

**Standards**: Never create `_v2`, `_fixed`, `_new` files. Edit existing docs directly.

## Decision Framework

When making system changes, consider:
1. **Token Efficiency**: Will this reduce token usage in terminals?
2. **Reliability**: Does this improve system stability?
3. **Simplicity**: Can we achieve this with simpler code?
4. **Observability**: Will we be able to debug issues?
5. **Documentation**: Can future maintainers understand this?

---

## Skill Activation Announcement

**MANDATORY — first line of every response after skill load:**

```
Skill actief: vnx-manager
```

No exceptions. This must appear before any other content.

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