Deep Context
Searches Jira, Slack, Confluence, and memory all at once. Good for onboarding to a problem fast.
What it does
/deep-context runs a multi-source search across all your connected systems simultaneously. Jira tickets, Slack threads, Confluence pages, and your memory files. It synthesizes everything into a coherent summary of what's known about a topic.
The use case is speed. When you're handed a new problem or joining a project mid-stream, you need to understand what's already been decided, where the debates are, and what's still open. Doing that manually across four systems takes 45 minutes. /deep-context does it in 2.
When to use it
- Onboarding to a new team or project where there's a lot of history
- Before a meeting on a topic you haven't been close to
- When someone asks "what's the status on X" and you don't know
How to trigger it
Say: tell me everything about [topic]
Example: tell me everything about the free text search feature
What you need
Best results with Jira, Slack, and Confluence all connected. Each source adds a different type of context: Jira has the formal record, Slack has the real debate, Confluence has the decisions that made it to documentation. Without integrations, paste the relevant content manually.
Ready to install?
PM Pilot lives on GitHub. Every skill is a plain markdown file you can read, edit, and install in under 5 minutes.