pick-next-issue
Fetch and rank open GitHub issues by community engagement, present the top 3 candidates, and plan implementation for the selected issue. Use when the user asks to "pick next issue", "next issue", "which issue should I work on", "top issues", "most popular issues", "prioritize iss
Install
npx skills add https://github.com/tobihagemann/turbo/tree/main/claude/skills/pick-next-issue
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install tobihagemann-turbo@llmmart
git clone https://github.com/tobihagemann/turbo.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole tobihagemann/turbo collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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
ghCLI authenticated with access to the current repo - If
ghfails (not in a repo, not authenticated), inform the user and stop - Never modify issues. This skill is read-only until the implementation is committed.
Files (turbo)
-
SKILL.md 2.4 KB
--- name: pick-next-issue description: "Fetch and rank open GitHub issues by community engagement, present the top 3 candidates, and plan implementation for the selected issue. Use when the user asks to \"pick next issue\", \"next issue\", \"which issue should I work on\", \"top issues\", \"most popular issues\", \"prioritize issues\", or \"what should I work on next\"." --- # 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: ```bash 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: 1. **Title** with issue number and link 2. **Labels** (if any) 3. **Engagement**: reaction breakdown and comment count 4. **Created**: date 5. **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: ```bash 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.
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