From ironclaude
Use when user asks 'how should I...' or 'what's the best approach...' after exploring code, OR when you've tried to solve something and are stuck, OR for unfamiliar workflows, OR when user references past work, OR when context feels incomplete after compaction. Searches conversation history.
How this skill is triggered — by the user, by Claude, or both
Slash command
/ironclaude: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: "ironclaude: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: "ironclaude: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:
When context feels incomplete:
Don't search first:
You CAN use MCP tools directly, but DON'T:
mcp__plugin_ironclaude_episodic-memory__searchmcp__plugin_ironclaude_episodic-memory__showUsing these directly wastes your context window. Always dispatch the agent instead.
npx claudepluginhub robertphyatt/ironclaude --plugin ironclaudeSearches 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 sessions before web research, planning, debugging, and bash errors to reuse prior solutions, plans, workflows. Manual /search-historian queries; synergizes with siblings.