spec-to-issues

Convert approved software specifications into implementation backlog issue tickets.

Updated Sep 17, 2019

Search Tags:#specification #issue tracking #backlog management #code alignment #automated task creation

Ready to run

npx skills add https://github.com/wwlorey/dotfiles --skill spec-to-issues

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spec-to-issues
Source: https://github.com/wwlorey/dotfiles/tree/main/.agents/skills/spec-to-issues
Command: npx skills add https://github.com/wwlorey/dotfiles --skill spec-to-issues

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of converting approved software specifications into actionable issues in an implementation backlog, streamlining the transition from specification to development work.

Core Features & Use Cases

Spec to Issue Creation: Converts software specifications into detailed issue tickets.
Automated Backlog Management: Generates a queue of open issues in a designated backlog directory.
Codebase Alignment: Ensures that the implementation aligns with the specification.

Quick Start

Run the 'spec-to-issues' skill to create issues from an approved spec.

Frequently Asked Questions about spec-to-issues

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

FAQPage Schema

How do I convert software specifications into actionable issue tickets?▼

Converting software specifications into issue tickets is done by reading approved specs and generating a structured queue of open issues in an implementation backlog directory. This automates the transition from specification to development work.

What is the best way to automate backlog management from approved specs?▼

Automating backlog management from approved specs involves generating detailed issue tickets directly from the specification text. This creates a designated queue of open issues, streamlining backlog population without manual task entry.

How does automated issue creation ensure codebase alignment with the specification?▼

Automated issue creation ensures codebase alignment by using structured findings for gap analysis against the specification. This verifies that the generated implementation tasks match the approved software requirements.

Do I need grep to identify software specifications for automated issue generation?▼

Yes, you need grep to identify software specifications for automated issue generation. The process requires grep to locate approved specs within your codebase before converting them into backlog issues.

Can I use this for gap analysis on unapproved software specifications?▼

No, this targets approved software specifications specifically. It materializes approved specs into an implementation backlog and uses structured findings for gap analysis to ensure code alignment during development.

Why use automated task creation for implementation backlog management?▼

Using automated task creation for implementation backlog management eliminates manual ticket writing when converting specs to development work. It directly translates approved software specifications into a structured queue of actionable issues.