remembering-conversations
After exploring code or encountering issues, help users think through the best approaches or solutions, providing conversational memory and guidance.
npx skills add https://github.com/obra/episodic-memory --skill remembering-conversationsBefore / After Comparison
1 组When exploring code or solving problems, efficiency is often low due to forgotten information or interrupted thought processes. The lack of systematic review and guidance makes it difficult to find the optimal solution.
Intelligent review dialogue provides memory and guidance, helping to think through the best solutions. Significantly improves problem-solving efficiency and decision quality.
Remembering Conversations
Core principle: Search before reinventing. Searching costs nothing; reinventing or repeating mistakes costs everything.
Mandatory: Use the Search Agent
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 with the
searchtool - Read top 2-5 results with the
showtool - Synthesize findings (200-1000 words)
- Return actionable insights + sources
Saves 50-100x context vs. loading raw conversations.
When to Use
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:
- User asks "how should I..." or "what's the best approach..."
- You've explored current codebase and need to make architectural decisions
- User asks for implementation approach after describing what they want
When you're stuck:
- You've investigated a problem and can't find the solution
- Facing a complex problem without obvious solution in current code
- Need to follow an unfamiliar workflow or process
When historical signals are present:
- User says "last time", "before", "we discussed", "you implemented"
- User asks "why did we...", "what was the reason..."
- User says "do you remember...", "what do we know about..."
Don't search first:
- For current codebase structure (use Grep/Read to explore first)
- For info in current conversation
- Before understanding what you're being asked to do
Direct Tool Access (Discouraged)
You CAN use MCP tools directly, but DON'T:
mcp__plugin_episodic-memory_episodic-memory__searchmcp__plugin_episodic-memory_episodic-memory__show
Using these directly wastes your context window. Always dispatch the agent instead.
See MCP-TOOLS.md for complete API reference if needed for advanced usage.
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