cross-channel-history-retrieval

To retrieve missing chat history, this Skill searches local history.json files across different agent sessions and channels, filtering by keywords and time windows to return matching original messages directly into your active conversation context.

Yes, you can search conversation messages across multiple channels by specifying a target channel or leaving it open, applying keyword matching and flexible time ranges to scan local session histories for relevant cross-channel dialogue.

If a cross-channel history search finds no matching messages and auto-expansion is enabled, the Skill automatically retries using a larger time window to improve recall and locate the missing conversation content.

You filter chat history by providing target keywords alongside time boundaries using start and end flags, or by specifying an exact time with a window in minutes, allowing the script to scan and match historical messages precisely.

No external dependencies are required to search local chat history; the Skill executes a provided Python script via mcp_exec_command to scan existing local history.json files stored within your agent session directories.

Current agent memory fails to recall past conversations when the context is insufficient, requiring this Skill to fetch original chat content from other sessions to ground answers about past events, people, and dates.