wiki-history-ingest

The wiki-history-ingest skill serves as a unified entrypoint for ingesting conversation and session history from supported AI agent platforms. It simplifies the process of importing historical agent interactions by acting as a routing layer that identifies the appropriate history-ingestion workflow and forwards the request to the correct specialized skill. This helps users avoid needing to know the underlying ingestion implementation while ensuring that agent-specific history sources are processed through their designated workflows. The skill is specifically designed for history and session data, not for general document ingestion.

Its primary capability is intelligent routing. Users can explicitly specify a target platform such as Claude, Copilot, Codex, Hermes, OpenClaw, or Pi, and the skill will dispatch directly to the corresponding history-ingest skill. It also supports automatic source detection based on known paths and artifacts, including platform-specific directories, session stores, memory files, and JSONL session exports. When the source cannot be determined confidently, the skill requests a short clarification rather than making assumptions. After routing, execution is delegated entirely to the destination skill, preserving the destination workflow's own processing, indexing, logging, and update behavior.

This skill is intended for users and systems that manage AI agent histories across multiple platforms and need a consistent ingestion interface. Common use cases include importing archived conversations, processing exported session data, consolidating agent memory artifacts, and standardizing ingestion commands across environments. It is particularly useful for operators, developers, and automation workflows that work with multiple supported AI agents and want a single command structure for history ingestion tasks.