From episodic-memory
Searches past conversations before answering, guessing, or treating topics as new. Avoids reinventing solutions by recalling prior decisions, patterns, and gotchas.
How this skill is triggered — by the user, by Claude, or both
Slash command
/episodic-memory: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 search historical memory for any historical search.
Announce: "Searching past conversations for [topic]."
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"
If a search-conversations agent is available, dispatch it with the same prompt. If not, use the MCP tools directly:
search toolread toolThe search workflow will:
search toolread toolSaves 50-100x context vs. loading raw conversations.
Use this whenever the current task would benefit from information you may have learned before, even if the user did not explicitly ask you to search.
When past experience may help:
When you're stuck:
When historical signals are present:
Before answering from uncertainty:
Don't search first:
Use these directly when a search agent is unavailable or the current harness does not support agent dispatch:
mcp__plugin_episodic-memory_episodic-memory__searchmcp__plugin_episodic-memory_episodic-memory__readWhen using MCP tools directly, keep context small: search first, then read only the top 2-5 relevant conversations or line ranges.
See MCP-TOOLS.md for complete API reference if needed for advanced usage.
npx claudepluginhub obra/episodic-memory --plugin episodic-memoryRecalls past context, decisions, and discussions from Memsy memory. Activates on retrieval-intent queries like "what did we decide" or "search past conversations."
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 sessions before web research, planning, debugging, and bash errors to reuse prior solutions, plans, workflows. Manual /search-historian queries; synergizes with siblings.