obligation-mapping

Name: obligation-mapping
Availability: InStock
Author: anotb

Extract obligations from regulatory documents into a structured register.

Updated May 9, 2026

Search Tags:#document processing #structured data #risk assessment #regulatory compliance #obligation mapping

Ready to run

npx skills add https://github.com/anotb/second-line-financial-services --skill obligation-mapping

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: obligation-mapping
Source: https://github.com/anotb/second-line-financial-services/tree/main/plugins/capability-plugins/risk-compliance-core/skills/obligation-mapping
Command: npx skills add https://github.com/anotb/second-line-financial-services --skill obligation-mapping

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the mapping of obligations from regulatory documents, streamlining compliance processes and reducing manual effort.

Core Features & Use Cases

Obligation Extraction: Automatically extract obligations from rule texts, supervisory guidance, exam manuals, etc.
Structured Output: Outputs a structured obligation register with detailed information for each obligation.
Use Case: Imagine you have a complex regulatory document with numerous obligations. Use this Skill to automatically extract and organize the obligations into a structured register, making it easier to review and manage compliance requirements.

Quick Start

Use the obligation-mapping skill to extract obligations from the attached document 'regulatory-document.pdf'.

Frequently Asked Questions about obligation-mapping

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

FAQPage Schema

How do I extract obligations from regulatory documents to build a structured register?▼

Obligation mapping automates the extraction of obligations from complex regulatory documents. It parses rule texts and supervisory guidance without manual intervention to output a structured obligation register, streamlining compliance management and reducing manual effort.

What is the best way to automate regulatory compliance workflows without manual intervention?▼

Automating regulatory compliance workflows requires parsing and processing text from regulatory documents. By applying an automated obligation mapping process, you generate structured data outputs for risk assessment and regulatory reporting without manual intervention.

Can I use Python and pandas to parse regulatory documents for risk assessment?▼

Yes, you can use Python and pandas for regulatory document processing. This Skill utilizes Python libraries including pandas, jsonschema, and PyYAML to parse text and apply structured data validation for risk assessment workflows.

Does automated obligation mapping work with exam manuals and supervisory guidance?▼

Automated obligation mapping works with exam manuals, supervisory guidance, and rule texts. It automatically extracts obligations from these regulatory documents and organizes them into a structured register for easier compliance review and management.

How do I generate a structured obligation register from PDF rule texts?▼

To generate a structured obligation register from PDF rule texts, attach the regulatory document to the processing workflow. The Skill parses the text and outputs detailed structured data for each extracted obligation.

What are the limitations of using automated parsing for regulatory compliance?▼

Automated parsing for regulatory compliance requires structured text processing capabilities and depends on Python libraries. It is designed for extracting obligations without manual intervention, so highly ambiguous or unstructured text may require subsequent manual review.