recover-context

Recovering context from a previous AI chat session involves extracting the most recent parent session data from the session lineage. This skill summarizes the last task, its current state, relevant documents, and next steps.

Sub-agent session lineage analysis works by deploying a sub-agent to examine the most recent parent session. It identifies the last task state and relevant documents, falling back to alternate methods when no sub-agent is available.

You need to extract parent session context when a session lineage exists and sub-agents are available. It enables quick access to relevant task history for informed next steps without manually reviewing past logs.

Yes, you can use sub-agents to summarize in-progress task states from a session lineage. The skill extracts whether the last task is completed, in-progress, or blocked, along with any pending items.

A limitation of recovering context is that it requires an existing session lineage to function. Additionally, sub-agent orchestration depends on sub-agent availability, requiring fallback methods when absent.