llm-extract

Extract 10-label structured data from Bronze markdown files into Silver JSON payloads.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/AllenZhou/MIRISE --skill llm-extract
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: llm-extract
Source: https://github.com/AllenZhou/MIRISE/tree/main/agents/uae-knowledgebase-builder/skill/llm-extract
Command: npx skills add https://github.com/AllenZhou/MIRISE --skill llm-extract

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reads Bronze markdown files and turns them into structured data payloads for downstream Silver tasks, enabling automated data extraction from UAE KB builder.

Core Features & Use Cases

  • Extracts 10 labels from Bronze markdown into a structured dict
  • Feeds data into data/uae-knowledgebase-builder/silver/llm_extract/{ORG}.json
  • Supports single-org and multi-org extraction for incremental workflows

Quick Start

Execute the llm-extract task for a target organization (e.g., ADGM) using the unified runtime entry.

Frequently Asked Questions about llm-extract

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

FAQPage Schema
How do I extract structured data from markdown files?

To extract structured data from markdown files, this tool reads Bronze markdown content and converts it into a 10-label structured dict payload for downstream processing.

How do I convert Bronze markdown into a Silver payload for multiple organizations?

You can convert Bronze markdown into a Silver payload by running the unified runtime entry, which aggregates per-organization extractions and writes output to silver/llm_extract/{ORG}.json.

Can I extract structured data for a single organization instead of all organizations?

Yes, the extraction process supports both single-org and multi-org extraction workflows, allowing you to target a specific organization like ADGM for incremental data processing.

Does the structured data extraction use legacy normalization by default?

No, the extraction process produces a v2 payload using the active session runtime and does not fall back to legacy normalization unless it is explicitly requested.

What are the limitations of using llm-extract for markdown data extraction?

The tool is specifically designed to process Bronze markdown files located under data/uae-knowledgebase-builder/bronze/{ORG} and requires the active session runtime to execute the extraction prompts.