Groom issue
SkillAI & modelsLets your agent turn a vague GitHub issue into a clear spec by interviewing you, then rewriting and labeling the issue.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Groom issue skill
About this skill
Groom a poorly written issue by grilling the user to clarify requirements, updating the issue on GitHub via the gh cli, and utilizing the triage skill to apply the correct label and add an agent brief if necessary. Use when the user wants to groom, flesh out, or clarify a poorly written issue.
What this skill tells your AI
The instructions your AI receives, as published by yamcodes/arkenv in skills/groom-issue/SKILL.md and read by ahel’s review.
This skill takes a poorly written, ambiguous, or incomplete issue, conducts an interactive grilling session with the user to clarify requirements, updates the issue on GitHub using the GitHub CLI (gh), and utilizes the existing /triage skill workflow to apply the correct canonical labels and post an authoritative agent brief.
Trigger
Use this skill whenever the user says /groom-issue <number> or asks to "groom", "clarify", "flesh out", or "improve" a poorly written issue.
Workflow
1. Context gathering & initial assessment
Before asking any questions, you MUST examine the current state of the issue and the surrounding codebase.
- Retrieve Issue Details: Fetch the issue context, including title, body, comments, and labels using the GitHub CLI:
gh issue view <issue-number> --json title,body,labels,comments - Analyze Requirements: Evaluate the issue description and existing comments. Identify gaps, ambiguities, missing edge cases, unclear desired behavior, or lacking acceptance criteria.
- Explore Codebase: Explore the repository to understand the domain model and existing implementations relevant to the issue. Refer to the project's domain glossary (
docs/CONTEXT.md), ADRs (docs/adr/), and prior rejections (.out-of-scope/*.md).
2. Grilling / requirement clarification (if needed)
If the issue is vague, poorly written, or lacks concrete acceptance criteria, conduct a rigorous interview session with the user (following the principles of /grill-with-docs):
- Ask One Question at a Time: Interview the user relentlessly about every aspect of the issue until reaching a shared understanding.
- Wait for Feedback: Present your recommended answer/approach for each question and wait for the user's confirmation before proceeding to the next question.
- Probe Specifics: Challenge fuzzy language, establish clear boundaries between domain concepts, and explore concrete edge cases and error conditions.
3. Fleshing out the issue on GitHub
Once the requirements are fully clarified and agreed upon:
- Synthesize Refined Specification: Format the clarified requirements into a clean, comprehensive issue body. Ensure it includes:
- A clear problem statement
- Detailed desired behavior
- Concrete, testable acceptance criteria
- Update Issue on GitHub: Use the GitHub CLI to update the issue body (and title if appropriate):
gh issue edit <issue-number> --body "<refined-issue-body>"
4. Triage & agent brief
At the end of the grooming process, you MUST utilize the existing /triage skill workflow (refer to skills/triage/SKILL.md and skills/triage/AGENT-BRIEF.md) to properly classify and prepare the issue:
- Determine Triage Roles: Identify the correct category role (
bugorenhancement) and state role (ready-for-agent,ready-for-human,needs-info,wontfix, etc.) based on the triage skill guidelines. - Apply Triage Labels: Use the GitHub CLI to apply the correct canonical labels to the issue:
(Note: Remove any conflicting or outdated triage state labels if necessary).gh issue edit <issue-number> --add-label "<category-role>,<state-role>" - Post Agent Brief (If Applicable): If the issue is transitioned to
ready-for-agentorready-for-human, generate a durable, behavioral agent brief following the principles and template inskills/triage/AGENT-BRIEF.md. Post it as a comment on the issue:
(If transitioned togh issue comment <issue-number> --body "<agent-brief-content>"needs-infoorwontfix, follow the corresponding comment or closing procedures defined in the triage skill).
Signals
- GitHub stars
- 144
- Forks
- 6
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
groom-issue- Source
- github.com/yamcodes/arkenv