When should I trigger a knowledge refresh?

Updates are recommended when there is a new job change, a major project launch, a new blog post series, or as part of a quarterly review.

How does the skill handle knowledge updates?

It uses a set of scripts to fetch data, performs markdown verification, and uses semantic commits to track changes within the repository.

Which data formats does this skill support?

The skill primarily works with llms.txt (LLM-friendly text files), RSS feeds for blogs, and dynamic activity from GitHub and social platforms.

What is the primary purpose of the Duyet Knowledge skill?

It is designed to automate the maintenance of a personal knowledge base, ensuring AI assistants have the latest context on a user's professional experience and projects.

Duyet Knowledge Manager

Name: Duyet Knowledge Manager
Author: duyet

byduyet

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Gestión de Contenido

Manages and synchronizes a centralized personal knowledge base using LLM-friendly data sources and automated scripts.

The Duyet Knowledge skill provides a robust framework for maintaining up-to-date context regarding the professional profile, technical blog, and GitHub activity of Duyet Le (@duyet). By leveraging LLM-friendly standards like llms.txt and RSS feeds, it automates the collection of career milestones, technical writings, and project updates into a structured markdown repository. This skill ensures that Claude has access to the most current and accurate personal information, facilitating better documentation maintenance and contextual awareness during development tasks.

Características Principales

01Pre-defined update triggers for job changes, blog posts, and reviews

02Technical blog archive synchronization via RSS feeds and technical logs

03Semantic commit integration for version-controlled knowledge updates

04Automated data fetching from llms.txt profile and resume endpoints

052 GitHub stars

06Dynamic tracking of GitHub repository activity and project launches

Casos de Uso

01Maintaining a current digital identity for AI assistants through structured data fetching

02Synchronizing a local AI knowledge base with remote professional CVs and profiles

03Automating the collection of technical blog metadata for documentation archives

Características Principales

01Pre-defined update triggers for job changes, blog posts, and reviews

02Technical blog archive synchronization via RSS feeds and technical logs

03Semantic commit integration for version-controlled knowledge updates

04Automated data fetching from llms.txt profile and resume endpoints

052 GitHub stars

06Dynamic tracking of GitHub repository activity and project launches

Casos de Uso

01Maintaining a current digital identity for AI assistants through structured data fetching

02Synchronizing a local AI knowledge base with remote professional CVs and profiles

03Automating the collection of technical blog metadata for documentation archives