From episodic-memory
Searches conversation history for approaches after code exploration, solutions when stuck, unfamiliar workflows, or past references. Dispatches search-conversations agent.
How this skill is triggered — by the user, by Claude, or both
Slash command
/episodic-memory:skills/remembering-conversationsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**Core principle:** Search before reinventing. Searching costs nothing; reinventing or repeating mistakes costs everything.
Core 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.
npx claudepluginhub tianzecn/myclaudecode --plugin episodic-memorySearches past conversations before answering, guessing, or treating topics as new. Avoids reinventing solutions by recalling prior decisions, patterns, and gotchas.
Recalls, searches, and analyzes past conversations using recent_chats.py, search_conversations.py, and lenses like retro, find-gaps, extract-decisions for context restoration and retrospectives.
Searches past Claude Code sessions semantically to recall commands, solutions, and context from prior conversations.