$ show digoal/blog
This repository is the personal blog and knowledge base of digoal, a prominent PostgreSQL DBA and database expert. It contains over a decade of blog posts (2010–2026) covering PostgreSQL internals, performance tuning, database architecture, and related topics, along with a large collection of images, PDFs, and other attachments. The blog is organized by year and month, with each post as a markdown file. The repository also includes a 'skills' directory that defines reusable AI agent skill definitions (SKILL.md files) for various tasks such as fact-checking, stock prediction, bug hunting, and course writing. These skills are structured with agent prompts, reference materials, and supporting scripts, making them extractable and reusable in AI-assisted workflows. The repo is actively maintained and serves as both a reference for database professionals and a library of AI agent capabilities.
The LLM identified 4 files worth highlighting for reuse:
A reusable AI agent skill for fact-checking articles. It includes a SKILL.md defining the agent's role, an OpenAI agent configuration (agents/openai.yaml), reference materials on evidence verification and logical fallacies, and a Python script for evidence extraction. This component can be extracted and applied to any article fact-checking task with minimal adaptation.
A skill that defines the persona and style of the blog author (digoal) for AI interactions. It includes a SKILL.md, agent configuration, references to the repository map and style guide, and a script for searching the blog. This component enables an AI to answer questions in the author's voice and leverage the blog's content, making it reusable for any project requiring a domain-expert persona.
A comprehensive AI agent skill for finding bugs in PostgreSQL. It includes a SKILL.md, agent configuration, reference materials on bug indicators, fuzzing, and bisect techniques, and a set of shell scripts for building PostgreSQL, running reproducers, and generating bug reports. This component is self-contained and can be extracted to create a PostgreSQL bug-hunting assistant for any project.
An AI agent skill for writing database foundation course content. It includes a SKILL.md, agent configuration, and reference materials. The skill is designed to generate structured educational material on database internals, making it reusable for creating technical training content in other domains.