tobihagemann/pick-next-issue
claude/skills/pick-next-issue/SKILL.md
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".
$ install --global
skillsauthnpx skillsauth add tobihagemann/turbo pick-next-issueInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 16, 2026, 1:24 AM5.6s1 file scanned
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:
- 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.
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