New Issue

Create a new GitHub issue with PM-driven scope refinement and expert input

unibrain1 updated 2mo ago
Claude CodeGeneric
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---
description: Create a new GitHub issue with PM-driven scope refinement and expert input
---

# Create Issue Command

This command helps create well-defined GitHub issues by engaging specialized
agents to refine scope, architecture, testing, and documentation requirements.

## Workflow Steps

### Step 1: Get the Problem Statement

If the user provided a problem statement with the command, use it. Otherwise ask:

"What problem or feature would you like to create an issue for? Describe it in
your own words — I'll help refine it into a well-structured issue."

Wait for their response before proceeding.

### Step 2: Initial Research

Launch Explore agents to understand the relevant parts of the codebase:

- One agent to find code areas related to the problem statement
- One agent to check for existing related issues or prior art

```bash
gh issue list --state all --search "RELEVANT_KEYWORDS" --limit 10

Check for duplicate or related issues. If found, inform the user:

"I found these related issues: [list]. Should we continue with a new issue, or does one of these already cover your need?"

Wait for confirmation before proceeding.

Step 3: PM-Driven Scope Definition

Note: The role-based agents below (senior-product-manager, senior-architect, senior-test-engineer, technical-documentation-writer) come from an installed agent plugin and are not defined locally in .claude/agents/. If they are unavailable, fall back to the generic Agent tool with a role-specific prompt.

Launch the senior-product-manager agent with:

  • The user's problem statement
  • The Explore results (codebase context)
  • Any related issues found

Ask the PM agent to produce:

  1. A draft issue title (concise, actionable)
  2. A draft description with:
    • Problem statement: What's wrong or what's needed
    • Proposed solution: High-level approach
    • Acceptance criteria: Specific, testable conditions for "done"
    • Out of scope: What this issue explicitly does NOT cover
  3. Suggested labels (bug, enhancement, tech-debt, etc.)
  4. Suggested milestone (if applicable)
  5. Questions the PM needs answered to finalize scope

Step 4: Interview — Ask Questions One at a Time

Present the PM's draft to the user, then ask the PM's questions one at a time using the following approach:

  • Present each question clearly with context for why it matters
  • When providing options, indicate the best known practice or industry standard
  • Wait for each answer before asking the next question
  • After each answer, determine if follow-up questions are needed

Do NOT batch questions. Ask them individually and let each answer inform the next question.

Continue until scope is fully clarified.

Step 5: Expert Refinement

Once the user has answered the PM's questions, launch these agents in parallel to refine the issue from their perspectives:

  • senior-architect: Review the proposed scope for:

    • Technical feasibility and complexity estimate (S/M/L/XL)
    • Architecture risks or concerns
    • Dependencies on other systems or issues
    • Suggested implementation approach
  • senior-test-engineer: Review the proposed scope for:

    • Testability of the acceptance criteria
    • Test types needed (unit, integration)
    • Existing test coverage in affected areas
    • Potential regression risks
  • technical-documentation-writer: Review the proposed scope for:

    • Documentation that will need updating (CLAUDE.md, docs/menu-guide.md)
    • Developer documentation needs

Wait for all agents to complete.

Step 6: Synthesize and Present Final Draft

Incorporate expert feedback into the issue. Present the final draft to the user with:

  1. Title
  2. Description (problem, solution, acceptance criteria, out of scope)
  3. Labels
  4. Milestone (if applicable)
  5. Expert Notes section summarizing key input from agents:
    • Architecture considerations
    • Complexity estimate
    • Test requirements
    • Documentation impact

Ask: "Here's the refined issue. Would you like to change anything before I create it?"

If the user requests changes, update the draft and re-present. If the experts raised concerns that the user hasn't addressed, flag them:

"The architect noted [concern]. Should we address this in the issue scope or create a separate issue for it?"

Step 7: Create the Issue

Once the user approves, create the issue on GitHub. Pass each approved label with a separate --label flag, and include --milestone if one was selected:

gh issue create \
  --title "Issue title" \
  --label "LABEL_1" --label "LABEL_2" \
  --milestone "MILESTONE_NAME" \
  --body "$(cat <<'EOF'
## Problem

Description of the problem or need.

## Proposed Solution

High-level approach.

## Acceptance Criteria

- [ ] Criterion 1
- [ ] Criterion 2
- [ ] Criterion 3

## Out of Scope

- Item 1
- Item 2

## Technical Notes

- **Complexity:** S/M/L/XL
- **Architecture:** Key considerations from architect
- **Testing:** Required test types
- **Documentation:** Docs that need updating
EOF
)"

Omit --milestone if none was chosen, and omit --label flags if no labels were approved.

After creation, display the issue URL and number.

Step 8: Offer Next Steps

After creating the issue, ask:

"Issue #NUMBER created: URL

Would you like to:

  1. Start working on it now? (/start-issue NUMBER)
  2. Create another related issue?
  3. That's all for now."

Maintain New Issue?

Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.

[New Issue on getagentictools](https://getagentictools.com/loops/unibrain1-create-issue-command?ref=badge)
npx agentictools info loops/unibrain1-create-issue-command

The second line is the CLI lookup for this page — handy in READMEs and docs.