catchup

name: catchup description: Re-orient after a break — aggregates live work context from all sources and session memory into a concise briefing.

Run the data aggregator (Linear, GitHub, Drive, Slack) from the project root:
```
uv run python scripts/catchup.py
```
This includes Slack mentions and unread DMs via the SDK. If Slack data is missing from the output (e.g. token expired), fall back to the slack-reader browser agent.
Query Granola MCP for recent meeting notes, decisions, and action items. If unavailable, skip.
Search session memory for recent context (decisions, open threads, things flagged for follow-up).
Synthesize all sources into a briefing with three sections:
- In progress — active work items across all sources
- Needs attention — unread mentions, review requests, DMs awaiting reply, meeting action items
- Since you were away — notable changes, merged PRs, closed issues, new threads, meetings held

Keep the briefing tight. Lead with the most time-sensitive items. Skip sources that returned no signal.