setup-matt-pocock-skills

Configuring AI engineering agent workflows involves establishing issue tracking conventions, triage label mappings, and domain documentation locations. This setup aligns automated engineering assistants with project conventions for planning, diagnosis, and testing tasks.

Repository skill configuration is the process of inspecting a repository's structure and setting up the guidance documentation expected by AI engineering workflows. It defines how automated agents manage planning, diagnosis, testing, and code improvements within the project.

Setting up issue tracking and triage labels for AI coding assistants requires defining workflow context mappings within your repository. This configures how automated agents consistently create issues, interpret project context, and apply triage labels during development.

Using automated engineering workflows without domain documentation conventions is not recommended. AI engineering assistants require structured documentation setup to properly understand repository context, interpret project conventions, and execute planning or diagnosis tasks consistently.

Yes, repository context discovery is required before setting up engineering agent skills. Inspecting the existing repository structure allows the configuration to accurately align automated workflows, issue tracking, and domain documentation with your specific project conventions.