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Try itnpx skills add https://github.com/obra/episodic-memory --skill remembering-conversationsCore principle: Search before reinventing. Searching costs nothing; reinventing or repeating mistakes costs everything.
YOU MUST dispatch the search-conversations agent for any historical search.
Announce: "Dispatching search agent to find [topic]."
Then use the Task tool with subagent_type: "search-conversations":
Task tool:
description: "Search past conversations for [topic]"
prompt: "Search for [specific query or topic]. Focus on [what you're looking for - e.g., decisions, patterns, gotchas, code examples]."
subagent_type: "search-conversations"
The agent will:
search toolshow toolSaves 50-100x context vs. loading raw conversations.
You often get value out of consulting your episodic memory once you understand what you're being asked. Search memory in these situations:
After understanding the task:
When you're stuck:
When historical signals are present:
Don't search first:
You CAN use MCP tools directly, but DON'T:
mcp__plugin_episodic-memory_episodic-memory__searchmcp__plugin_episodic-memory_episodic-memory__showUsing these directly wastes your context window. Always dispatch the agent instead.
See MCP-TOOLS.md for complete API reference if needed for advanced usage.