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Minhmice
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rule-skill-ingestor

Ingest .mdc rule files and .md skill documents into a repository.

Updated Mar 22, 2026
Search Tags:#automation#repository#ingestion#rule#system update
One-click install
npx skills add https://github.com/Minhmice/Thuocare --skill rule-skill-ingestor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rule-skill-ingestor
Source: https://github.com/Minhmice/Thuocare/tree/main/.cursor/agents/specialists/rule-skill-ingestor
Command: npx skills add https://github.com/Minhmice/Thuocare --skill rule-skill-ingestor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires csv, shutil, datetime, re, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill facilitates the safe and efficient integration of new Cursor rules and agent skills into the repository’s data architecture, ensuring consistency and easy updates.

Core Features & Use Cases

  • Rule Ingestion: Imports new .mdc rule files from specified paths or stdin, and updates the rule registry.
  • Skill Ingestion: Adds or updates .md skill documents for designated agent fields, enabling modular skill management.
  • Use Case: For example, a developer creates a new rule for data validation and wants to embed it into the system, or a content specialist updates a skill to enhance agent capabilities.

Quick Start

Ingest a new rule from a file named 'data-check.mdc' by running: python3 ingest.py rule --input-path data-check.mdc --rule-id data-check --owner-field-id backend

Frequently Asked Questions about rule-skill-ingestor

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

FAQPage Schema
How do I automate ingestion of new .mdc rule files into a repository?▼

Automating rule ingestion imports .mdc files from specified paths or stdin into the repository, updating the rule registry and enforcing safety and consistency requirements across system updates.

What is the best way to update agent skills in a development workflow?▼

Updating agent skills involves adding or updating .md skill documents for designated agent fields, enabling modular skill management and streamlined system enhancements for ongoing development workflows.

How do I add a data validation rule to a repository using Python?▼

To add a rule, run the ingestion script with Python, providing the input file path, rule ID, and owner field ID, which embeds the rule into the repository's data architecture.

Can I ingest rules and skills from standard input instead of a file path?▼

Yes, ingesting rules and skills supports importing data from standard input, allowing flexible integration of new files into the system without relying solely on fixed file paths.

How does repository maintenance automation handle consistency during system updates?▼

Repository maintenance automation enforces safety and consistency requirements by managing rule and skill files, updating mappings and catalogs, and ensuring structured incorporation during system updates.

What limitations exist when incorporating new rules into an existing data architecture?▼

Incorporating new rules requires strict adherence to safety and consistency requirements, ensuring that all ingested files properly update mappings and catalogs without disrupting the existing data architecture.

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