childbamboo/claude-code-marketplace-sample
Overview
This skill converts Jira issues, backlog lists, and sprint data into structured, AI-friendly Markdown using Atlassian MCP. It produces clear metadata sections, tables for lists, and readable sprint summaries for documentation and reporting. Use it to standardize Jira exports into human- and machine-readable Markdown documents.
How this skill works
The skill calls Atlassian MCP tools to fetch Jira data: individual issues, JQL search results for backlogs, and visible projects. It normalizes fields, applies formatting rules (metadata first, date formatting, placeholders for missing values), and outputs Markdown templates for issue details, backlog tables, and sprint summaries. It ensures links or emphasis on issue keys and consistent table layouts for lists.
When to use it
- Preparing release notes or status reports from Jira data
- Exporting a project backlog into Markdown for documentation or handoff
- Generating readable sprint summaries for stakeholders
- Converting multiple issues into a consolidated Markdown report
- Feeding cleaned Markdown into downstream tools or AI agents for analysis
Best practices
- Run JQL queries that limit fields to summary, status, issuetype, priority, created, assignee to reduce payloads
- Always convert ISO timestamps to YYYY-MM-DD for readability
- Explicitly mark null or missing fields with placeholders like [unassigned], [unset], or [empty]
- Keep metadata at the top of issue documents to surface critical details quickly
- Use table format for any list output to preserve column alignment and make parsing predictable
Example use cases
- Generate a Markdown backlog for a project: search unresolved issues by project key and convert to a backlog table
- Produce an issue report: fetch an issue by key and render metadata, description, comments, and attachments in Markdown
- Create sprint documentation: collect sprint info and its issues, then render sprint metadata and an issues table for sprint reviews
- Bulk convert a set of issues into a structured Markdown report for audits or handoffs
FAQ
It uses calls to get a single issue, search issues via JQL, and list visible projects through Atlassian MCP endpoints.
How are missing fields represented in Markdown?
Missing or null values are replaced with explicit placeholders such as [unassigned], [unset], or [empty] to make gaps obvious.
3 skills
This skill converts Jira data into structured Markdown documents and tables using Atlassian MCP for clear reporting.
This skill reads PDF files and converts text and tables into Markdown, preserving structure for easy sharing and further processing.
This skill converts Notion databases and pages to structured Markdown, enabling clean export, documentation, and visualization workflows.
