groom

Groom a GitHub issue into an implementation spec with acceptance criteria.

81|31|Updated Jul 12, 2016
One-click install
npx skills add https://github.com/wp-media/imagify-plugin --skill groom-wp-media
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: groom
Source: https://github.com/wp-media/imagify-plugin/tree/main/.claude/skills/groom
Command: npx skills add https://github.com/wp-media/imagify-plugin --skill groom-wp-media

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Groom a single GitHub issue to produce a precise implementation spec and optionally post the grooming summary as a GitHub comment, streamlining issue-to-solution handoffs.

Core Features & Use Cases

  • Generates a concrete implementation spec from a single issue, including acceptance criteria, edge cases, and a recommended approach.
  • Optionally posts a grooming summary as a GitHub comment for traceability and collaboration.
  • Supports standalone operation for end-to-end grooming without relying on external pipelines.

Quick Start

Run the Groom skill against a specific GitHub issue to produce an implementation spec and optionally post the grooming summary.

Frequently Asked Questions about groom

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

FAQPage Schema
How do I convert a GitHub issue into an implementation spec?

You can convert a GitHub issue into an implementation spec by running a grooming agent against the issue file to generate acceptance criteria, edge cases, and a recommended approach on disk.

What is GitHub issue grooming?

GitHub issue grooming is the process of transforming a single issue into a precise implementation spec, streamlining the handoff from problem identification to code solution.

Can I automatically post a grooming summary as a GitHub comment?

Yes, you can automatically post a grooming summary as a GitHub comment. The process returns a draft comment for verification and includes an optional post flow prompt for traceability.

Does the issue grooming agent require external pipelines to operate?

No, the issue grooming agent does not require external pipelines. It supports standalone operation to load orchestrator configs and perform end-to-end grooming autonomously.

What is the best way to ensure an implementation spec covers edge cases?

The best way to ensure an implementation spec covers edge cases is to use an automated grooming agent that analyzes the GitHub issue and explicitly generates edge case documentation alongside acceptance criteria.