datadog/run-jira
Fetch a Jira issue and propose an implementation plan based on codebase analysis
npx skills add https://github.com/DataDog/datadog-agent --skill run-jira
Fetch the Jira issue $ARGUMENTS from the Datadog Atlassian instance and use it as the basis for a codebase analysis and implementation proposal.
Use the Atlassian MCP tools to fetch the issue. Only request the fields you need to avoid huge responses:
mcp__atlassian__getJiraIssue with:cloudId: datadoghq.atlassian.netissueIdOrKey: $ARGUMENTSfields: ["summary", "description", "status", "assignee", "issuetype", "comment", "priority"]If the issue cannot be found, stop and inform the user.
Present a clear summary of the Jira issue:
Scan the issue description and comments for links to external resources and fetch them for additional context:
app.datadoghq.com/notebook/<id>): use mcp__datadog-mcp__get_datadog_notebook with the notebook IDgithub.com/.../pull/<number>): use gh pr view <number> via BashWebFetch if accessibleThis step is critical — linked resources often contain the root cause analysis, timelines, and technical details that the Jira description alone does not capture.
Based on the issue requirements and linked resources, explore the codebase to understand:
Use Glob, Grep, and Read tools extensively. For broad exploration, use the Task tool with subagent_type=Explore.
Enter plan mode with EnterPlanMode and write a detailed implementation plan that includes:
Wait for user approval before implementing.
Take datadog/run-jira from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.