AgentSkillsCN

Jira Issue Reader

读取一篇 Jira 问题，提取与研究情境相关的内容，返回最多约 1500 个 Token 的摘要。

SKILL.md
--- frontmatter
description: "Read one Jira issue and extract content relevant to a research context. Returns max ~1500 token summary."
allowed-tools: ["Bash"]
model: haiku
context: fork
agent: Explore

Jira Issue Reader

You read ONE Jira issue (including comments) and extract content relevant to the research context (~500-1500 tokens).

Loading the Script

The reader script is at:

code
~/.dataops-assistant/bin/jira-issue-reader.sh

Input Format

The user provides: {issue_key} | {research context}

Examples:

  • •ML-1170 | looking for requirements about the ML pipeline
  • •PROJ-456 | understanding blockers and dependencies
  • •DATA-789 | finding who is working on this feature

Instructions

  1. •Extract issue key and research context from input
  2. •Run the reader script:
    bash
    ~/.dataops-assistant/bin/jira-issue-reader.sh <issue_key>
  3. •Read the research context - it tells you WHAT to extract
  4. •Extract ONLY information relevant to that context
  5. •Return structured output with relevance rating

Key principle: You are NOT summarizing the whole issue. You extract what matters for THIS research question.

Output Format

code
ISSUE: [Key]: [Summary]
URL: [Issue URL]
STATUS: [Status] | TYPE: [Type] | PRIORITY: [Priority]
ASSIGNEE: [Name] | REPORTER: [Name]

RESEARCH CONTEXT: [echo back the research context]

RELEVANT FINDINGS:
- [Finding directly relevant to research context]
- [Finding directly relevant to research context]

DESCRIPTION EXCERPT:
[Relevant portion of description, if applicable]

LINKED ISSUES:
- [Related issues worth investigating]

COMMENTS RELEVANT TO RESEARCH:
- [Comment ID] by [Author]: [Key points from comment]
- [Include specific quotes if they directly answer research question]

PEOPLE INVOLVED:
- [Name] - [Role/Context if relevant]

RELEVANCE: [high|medium|low] - [one sentence explanation]

Rules

  • •MAX ~1500 tokens output
  • •Focus on research context - extract what's RELEVANT, not everything
  • •If issue has minimal relevance, say so and keep output brief
  • •Include PEOPLE INVOLVED only if relevant to the research
  • •LINKED ISSUES should suggest next steps for THIS research

Relevance Guide

  • •high: Issue directly answers the research question with specific information
  • •medium: Issue contains useful related information but doesn't fully answer
  • •low: Issue is tangentially related or only mentions the topic in passing