issue-summary

Summarize GitHub issue threads with metadata, last message quote, and next steps.

7|3|Updated Jul 31, 2025
One-click install
npx skills add https://github.com/seabbs/claude-code-config --skill issue-summary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: issue-summary
Source: https://github.com/seabbs/claude-code-config/tree/main/skills/issue-summary
Command: npx skills add https://github.com/seabbs/claude-code-config --skill issue-summary

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams cut through long GitHub issue conversations by generating concise summaries that highlight decisions, questions, and next steps, with special emphasis on the most recent message.

Core Features & Use Cases

  • Summarize the entire issue thread into a clear, action-oriented digest.
  • Extract and quote the last message verbatim to emphasize current intent or blockers.
  • Provide issue metadata (title, author, labels, status) to aid triage and reporting.
  • Use in onboarding, daily standups, and support request triage to keep stakeholders aligned.

Quick Start

Summarise the conversation in issue #$ARGUMENTS with special focus on the last message.

Frequently Asked Questions about issue-summary

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I summarize a long GitHub issue thread for triage?

To summarize a GitHub issue thread for triage, apply this skill to extract issue metadata, a short history, the verbatim last message, and actionable next steps into a structured digest.

What is the best way to extract the last message from a GitHub issue conversation?

Extracting the last message from a GitHub issue conversation involves isolating the most recent comment to quote it verbatim, emphasizing current intent, blockers, and unanswered questions for stakeholder alignment.

Does this issue summarization approach work for onboarding new team members?

Yes, issue summarization works for onboarding by cutting through long GitHub conversations to provide issue metadata, history, and current status, helping new members quickly understand context and blockers.

When should I use an automated issue summary instead of reading the full thread?

You should use an automated issue summary when dealing with GitHub issues that have long threads and multiple comments, cutting through noise to highlight decisions, unanswered questions, and the verbatim last message.

Why focus on the last message when summarizing GitHub issue conversations?

Focusing on the last message when summarizing GitHub issue conversations emphasizes the current intent or blocker, ensuring triage and reporting efforts address the most recent context rather than historical noise.