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Skill

/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\",

From plugin
turbo
40379 skills
Install
$ npx -y skills add tobihagemann/turbo --skill pick-next-issue --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/pick-next-issue

Context preview

The summary Claude sees to decide when to auto-load this skill.

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\",

SKILL.md

pick-next-issue.SKILL.md
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:

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:

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.
Read more
Ships withturbo

A composable dev process for agentic coding harnesses, packaged as modular skills. Turbo has sibling editions for Claude Code and Codex. The Claude Code edition is production-tested.

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Shell
Language
MIT
License
3d ago
Last commit
6mo ago
Created

Repo: tobihagemann/turbo

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