What is a self-contained work packet in this skill?

A work packet is a GitHub issue that contains all necessary technical specs, test plans, and execution protocols for an AI agent to work autonomously without constant human supervision.

Does this skill actually create the issue on GitHub?

Yes, after generating the preview, the skill uses the GitHub CLI (gh) to create the issue with appropriate labels, titles, and body content automatically.

How does the TDD-first approach benefit my workflow?

By defining test cycles before implementation, it ensures the AI agent focuses on measurable outcomes and regression prevention, leading to higher code quality and fewer bugs.

What issue types are supported?

The skill provides specialized templates for New Features (functionality), Bugs (fixes), and Refactors (improving existing code without changing behavior).

Can this skill handle PR reviews?

While the skill creates the issue, it includes specific instructions that teach the AI agent how to fetch, address, and respond to human code review comments iteratively.

GitHub Issue Architect

Name: GitHub Issue Architect
Author: dsifry

bydsifry

•

Collaboration Tools

Generates comprehensive GitHub issues with embedded TDD plans and autonomous agent instructions for full pull request lifecycle management.

About

This skill transforms how developers and AI agents collaborate by creating 'self-contained work packets' within GitHub issues. It guides users through an interactive assessment of issue type, complexity, and context to generate a detailed specification that includes architectural decisions, technical schemas, and a multi-cycle TDD implementation plan. Crucially, it embeds a rigorous 'Agent Instruction' protocol that directs AI coding agents through the entire PR process—from initial research and implementation to iterative code reviews, thread resolution, and final squash merging.

Key Features

29 GitHub stars
Interactive issue profiling for Features, Bugs, and Refactors
Automated TDD implementation cycles with specific test case templates
Comprehensive acceptance criteria including linting, type-checking, and documentation
Built-in architecture decision records and technical specification drafting
Embedded autonomous protocols for PR review and merge management

Use Cases

Defining complex features for AI agents to implement autonomously from start to finish
Orchestrating large-scale refactors with strict adherence to existing service registries
Standardizing bug reports with reproduction steps and mandatory regression testing

About

Key Features

29 GitHub stars
Interactive issue profiling for Features, Bugs, and Refactors
Automated TDD implementation cycles with specific test case templates
Comprehensive acceptance criteria including linting, type-checking, and documentation
Built-in architecture decision records and technical specification drafting
Embedded autonomous protocols for PR review and merge management

Use Cases

Defining complex features for AI agents to implement autonomously from start to finish
Orchestrating large-scale refactors with strict adherence to existing service registries
Standardizing bug reports with reproduction steps and mandatory regression testing