# Issue Summary

> Summarise a GitHub issue conversation with focus on the last message

- Skill: `seabbs-skills/issue-summary` (Agent Skill)
- Install (CLI): `npx skillmds add seabbs-skills/issue-summary`
- Raw SKILL.md: https://api.skillmd.com/api/skills/seabbs-skills/issue-summary/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: seabbs (https://skillmd.com/u/seabbs-skills)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/seabbs-skills/issue-summary

---


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

## Phase 1: Issue Retrieval
1. Fetch the issue details: `gh issue view $ARGUMENTS --repo [REPO]`
2. Get all comments: `gh issue view $ARGUMENTS --comments --repo [REPO]`

## Phase 2: Conversation Analysis
3. Create a timeline summary:
   - Original issue description and key requirements
   - Major discussion points and decisions
   - Any code snippets or technical details shared
   - Resolution attempts or blockers identified

## Phase 3: Last Message Focus
4. Quote the last message verbatim in a highlighted block
5. Analyse the last message for:
   - New requirements or changes
   - Questions that need answering
   - Action items mentioned
   - Tone/urgency indicators

## Phase 4: Summary Report
6. Create a structured summary:
   - Issue title and metadata
   - Brief conversation history (bullet points)
   - Last message (verbatim in quote block)
   - Current status and next steps
   - Any unresolved questions

## Phase 5: Actionable Insights
7. Based on the conversation, suggest:
   - Immediate actions needed
   - Clarifications to request
   - Potential solutions if applicable

Focus on making the current state crystal clear, especially what the last commenter is asking for or stating.

## Auto-Exit When Standalone
**IMPORTANT**: If this command is being run as a standalone request, automatically exit after completing all phases successfully.