setup-matt-pocock-skills

Standardize repository agent configurations for issue tracking, triage labels, and domain documentation.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/henrycashe26/my_skills --skill setup-matt-pocock-skills-henrycashe26
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: setup-matt-pocock-skills
Source: https://github.com/henrycashe26/my_skills/tree/main/coding/setup-matt-pocock-skills
Command: npx skills add https://github.com/henrycashe26/my_skills --skill setup-matt-pocock-skills-henrycashe26

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill resolves configuration drift and context gaps in engineering repositories by standardizing how AI agents interact with issue trackers, triage labels, and domain documentation.

Core Features & Use Cases

  • Issue Tracker Integration: Configures agents to interface correctly with GitHub, GitLab, or local markdown-based issue trackers.
  • Triage Standardization: Maps project-specific labels to canonical triage roles, ensuring consistent issue management.
  • Domain Context Setup: Establishes a unified structure for CONTEXT.md and ADRs, allowing agents to navigate complex codebases effectively.

Quick Start

Run the setup-matt-pocock-skills command to initialize the agent configuration and documentation structure for this repository.

Frequently Asked Questions about setup-matt-pocock-skills

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

FAQPage Schema
How do I standardize AI agent configurations for GitHub issue tracking and triage?

You standardize AI agent configurations by setting up repository-level skill blocks that map project-specific triage labels to canonical roles and interface correctly with GitHub issue trackers. This ensures consistent AI-assisted workflows for bug diagnosis and engineering triage.

What is the best way to provide domain context and ADRs to AI engineering agents?

Providing domain context to AI agents requires establishing a unified structure for CONTEXT.md and Architectural Decision Records within your repository. This setup allows agents to navigate complex codebases effectively during TDD and architectural improvements.

Can I use this workflow setup with GitLab and local markdown issue trackers?

Yes, the workflow setup supports configuring agents to interface with GitLab, GitHub, or local markdown-based issue trackers. It standardizes how agents interact with these platforms to resolve configuration drift and context gaps.

Do I need CLI tools to establish agent documentation and triage workflows?

Yes, you need access to repository root files and CLI tools like gh or glab to establish the necessary agent skill blocks. These CLI tools facilitate the standardized interaction between AI agents and your issue tracking systems.

When should I set up standardized repository configurations for AI-assisted engineering?

You should set up standardized repository configurations when engineering projects require consistent AI-assisted workflows for bug diagnosis, TDD, and architectural improvements. It resolves configuration drift and context gaps before they impact agent performance.