uae-kb-builder

Automate UAE company registry lifecycle management across 53 organizations.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/AllenZhou/MIRISE --skill uae-kb-builder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: uae-kb-builder
Source: https://github.com/AllenZhou/MIRISE/tree/main/agents/uae-knowledgebase-builder/skill/uae-registry
Command: npx skills add https://github.com/AllenZhou/MIRISE --skill uae-kb-builder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The UAE knowledge base registry provides a single entry point to manage the complete lifecycle of 53 organizations' knowledge assets, enabling consistent ingestion, synchronization, auditing, and publishing across the entire pipeline.

Core Features & Use Cases

  • Unified entry point for 53 organizations to coordinate full, incremental, and single-org cycles.
  • Orchestrates seed resolution, LLM extraction, normalization, auditing, and publishing into a structured knowledge base.
  • Guardrails and workflow routing support Full Cycle, Incremental, and Single Org scenarios with deterministic execution.

Quick Start

Initialize a full UAE KB registry cycle for all organizations to refresh the knowledge base.

Frequently Asked Questions about uae-kb-builder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate knowledge base lifecycle management for multiple organizations?

Knowledge base lifecycle management is automated by routing tasks through specialized workflows for syncing, LLM extraction, auditing, and publishing. This orchestrates consistent ingestion across 53 organizations with deterministic, safe execution.

What is the best way to run incremental updates on a company registry data pipeline?

Incremental updates on a data pipeline are handled via guardrails and workflow routing that support Incremental scenarios. This targets specific organizations to refresh knowledge assets without executing a full cycle.

How does LLM extraction work within an orchestration workflow?

LLM extraction within an orchestration workflow uses llm_runtime integration and frontmatter-driven entry points to extract, normalize, and audit data. It routes content through structured steps to ensure deterministic knowledge publishing.

Can I audit a single organization's knowledge assets instead of running a full pipeline cycle?

Yes, you can audit a single organization's knowledge assets because the workflow routing supports Single Org scenarios. This allows targeted auditing and feedback loops without triggering updates across all 53 organizations.

When do I need guardrails for deterministic data pipeline execution?

Guardrails for deterministic data pipeline execution are needed when managing full, incremental, or single-org cycles. They ensure safe, structured routing through seed resolution, LLM extraction, and knowledge publishing without uncontrolled operations.