plugins/jira/skills/catch-me-up/SKILL.md
Gather and classify recent Jira activity to surface what needs attention
npx skillsauth add openshift-eng/ai-helpers catch-me-upInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Gathers recent Jira activity (changelogs and comments) for issues where the user is assignee or watcher, then classifies events into three tiers: needs attention, unsure, or noise.
scripts/gather.py — Fetches events from Jira REST API. Requires aiohttp. Outputs JSON to .work/catch-me-up/runs/{date}-{days}d/events.json. Caches by date and lookback window.scripts/split_batches.py — Splits gathered events into batch files for parallel classification.Invoked by the /jira:catch-me-up command. Not intended for standalone use.
research
Shared engine for analyzing Jira issue activity and generating status summaries
testing
Snapshot OpenShift payload data (release controller, PR diffs, comments, CI jobs, JUnit results, regression tracking) to a local directory for offline analysis
development
Analyze a payload snapshot to identify root causes of blocking job failures, score candidate PRs, and produce an HTML report with revert recommendations
tools
Create TRT JIRA bugs, open revert PRs, and trigger payload jobs for high-confidence revert candidates