Update to Nexclave

{
  "description": "Access Nexclave enterprise AI engineering services, AI products (RKE, Omni Vision, Email Triage, YOLO Vision), technology capabilities, and consultation inquiries.",
  "included_files": [],
  "name": "nexclave",
  "skill_md_contents": "---\nname: nexclave\ndescription: Access Nexclave enterprise AI engineering services, AI products (RKE, Omni Vision, Email Triage, YOLO Vision), technology capabilities, and consultation inquiries.\n---\n\n# Nexclave Enterprise AI Assistant Skill\n\nUse this skill whenever users ask about Nexclave, enterprise AI integration, ready-to-ship AI products, or want to audit and automate their workflows with native AI.\n\n## Available Capabilities & Routing Guidance\n\n### 1. Company Information & Principles\n- Use `get_company_overview` with section filters (`summary`, `principles`, `mission`, `why_nexclave`, `stats`) to answer questions about Nexclave's corporate identity, foundational philosophy, and positioning as \"The Engine Of Native AI Enterprise\".\n- For contact and office location queries, use `get_contact_info`.\n\n### 2. Enterprise Services & Consultation\n- Use `get_services` to list available engineering services (e.g., Workflow Development, MCP Integration, Agentic AI, Fine-Tuning, On-Premise AI, System Integration, Responsible AI).\n- Use `get_service_details` with `service_name` for in-depth architecture, deliverables, and operational scope.\n\n### 3. Purpose-Built AI Products\n- Use `get_ai_products` to explore Nexclave's ready-to-ship product suite:\n  - **RKE (Reliable Knowledge Engine)**: No-code RAG platform for knowledge bases, vector search, and retrieval pipelines.\n  - **Omni Vision**: Zero-UI incident reporting platform utilizing image capture, location, and timestamp for automated routing.\n  - **Email Triage**: Centralized AI email classification and intelligent routing engine.\n  - **YOLO Vision**: End-to-end computer vision platform for collecting, annotating, training, and deploying object detection models.\n\n### 4. Technology Stack & 31 Capabilities\n- Use `get_technology_capabilities` to filter across 5 categories:\n  - `Artificial Intelligence`\n  - `AI Engineering`\n  - `Enterprise Engineering`\n  - `Data Systems`\n  - `Responsible AI`\n- Use the `query` argument to search for specific technologies such as RAG, Vector Databases, MCP, Kubernetes, LoRA, etc.\n\n### 5. Engagement Models & How We Work\n- Use `get_engagement_levels` to explain engagement tiers:\n  - **Level 01 (Eye-Opener Study)**: Free assessment of operational bottlenecks and high-ROI opportunities.\n  - **Level 02 (Surface-Level Study)**: Paid documentation-focused system study with High-Level Architecture (HLA) and roadmap.\n  - **Level 03 (Deep-Dive Study & Dev)**: Complete end-to-end transformation, custom model development, integration, and SLAs.\n- Use `get_delivery_methodology` to describe the 6-stage delivery process (Understand, Identify, Design, Build, Integrate, Transform).\n- Use `get_responsible_ai_framework` for governance, safety fences, and ISO/IEC 42001 & 23894 readiness.\n\n### 6. Inquiries & Free AI Audit Requests\n- Use `get_inquiry_requirements` to check required details before submission.\n- Use `submit_inquiry` when the user wants to commission an audit or contact sales/engineering. Provide the generated ticket ID and SLA response guarantee (< 24 business hours).\n\n"
}