Pick Next Issue

Pick Next Issue

Rank open GitHub issues by engagement and plan the selected issue.

Step 1: Fetch and Rank Issues

Run gh issue list to fetch open issues with engagement data:

gh issue list --state open --json number,title,url,reactionGroups,comments,labels,createdAt --limit 50

Calculate an engagement score for each issue:

• Reactions score: Sum all reaction counts from reactionGroups (thumbs up, heart, hooray, etc.). Weight thumbs-up (THUMBS_UP) reactions 2x since they signal explicit demand.
• Comments score: Count of comments on the issue.
• Engagement score: (weighted reactions) + comments

Sort issues by engagement score descending.

Step 2: Present Top 3

Present the top 3 issues in a numbered list. For each issue, show:

• Title with issue number and link
• Labels (if any)
• Engagement: reaction breakdown and comment count
• Created: date
• First paragraph of the issue body (truncate if long)

If fewer than 3 open issues exist, present all of them.

If no open issues exist, inform the user and stop.

Step 3: User Picks an Issue

Ask the user to pick one of the presented issues (or request to see more).

If the user asks to see more, present the next 3 issues from the ranked list.

Step 4: Read the Full Issue

Fetch the complete issue details for the selected issue:

gh issue view <number> --json number,title,body,url,labels,comments,reactionGroups,assignees,milestone

Read the full issue body and comments to understand the requirements and any discussion context.

Step 5: Run $turboplan Skill

Run the $turboplan skill with the issue body as the task description. Tell turboplan that the plan must include a final implementation step: "Close issue #N or reference it in the PR with Closes #N."

Rules

• Requires gh CLI authenticated with access to the current repo
• If gh fails (not in a repo, not authenticated), inform the user and stop
• Never modify issues. This skill is read-only until the implementation is committed.