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SKILL verified MIT Self-run

Pick Next Issue

skill-tobihagemann-turbo-pick-next-issue · by tobihagemann

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\".

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Install

$ agentstack add skill-tobihagemann-turbo-pick-next-issue

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

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  --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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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