Claude 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", "prioritize iss

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Download tobihagemann-turbo-codex_skills_pick-next-issue-b903a85.zip · 1 KB

tobihagemann/turbo 403 31 forks MIT Updated 1d ago

Part of tobihagemann/turbo — 147 skills

Install

skills CLI npx skills add https://github.com/tobihagemann/turbo/tree/main/codex/skills/pick-next-issue

Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install tobihagemann-turbo@llmmart

Git 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 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.

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.