rule-to-obligation-extraction

Extract atomic obligations from regulatory rule texts into structured YAML and JSON records.

Updated May 9, 2026
One-click install
npx skills add https://github.com/anotb/second-line-financial-services --skill rule-to-obligation-extraction
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rule-to-obligation-extraction
Source: https://github.com/anotb/second-line-financial-services/tree/main/plugins/capability-plugins/regulatory-change-management/skills/rule-to-obligation-extraction
Command: npx skills add https://github.com/anotb/second-line-financial-services --skill rule-to-obligation-extraction

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pandas, openpyxl, jsonschema, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the process of extracting atomic obligations from regulatory rule texts, simplifying the compliance workflow and saving time.

Core Features & Use Cases

  • Automated Rule Decomposition: Convert regulatory rule texts into structured obligation lists.
  • Atomic Obligation Extraction: Generate detailed obligation lists with clear identification of parties obligated, deadlines, exceptions, etc.
  • Use Case: Suppose you receive a new regulatory rule. Use this Skill to quickly decompose the rule into individual obligations, facilitating compliance planning and documentation.

Quick Start

Use the rule-to-obligation-extraction skill to process the provided rule text 'rule-text.txt' and generate an obligation list.

Frequently Asked Questions about rule-to-obligation-extraction

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

FAQPage Schema
How do I extract atomic obligations from regulatory rule texts?

Rule decomposition breaks down regulatory texts into atomic obligations by identifying obligated parties, deadlines, and exceptions, which simplifies compliance workflows and facilitates risk management documentation for financial services.

Can I use Python and pandas to map regulatory compliance rules?

Yes, you can use Python and pandas to map regulatory compliance rules, as this Skill requires Python, pandas, openpyxl, and jsonschema to process rule texts and generate structured obligation lists.

What is the best way to automate financial services compliance planning?

The best way to automate financial services compliance planning is using this Skill to convert regulatory rule texts into detailed obligation lists with clear identification of parties obligated and exceptions.

Do I need regulatory knowledge to use this obligation extraction Skill?

Yes, you need regulatory knowledge and a comprehensive understanding of the rule text structure to accurately decompose rules into atomic obligations for risk and compliance management.

Does this obligation mapping tool output structured JSON schema records?

Yes, this obligation mapping tool outputs structured JSON schema records using YAML frontmatter, ensuring the extracted atomic obligations are formatted consistently for downstream compliance workflows.