R

remembering-conversations

by @obrav
4.5(276)

コードを探索した後や問題に遭遇した際に、最適なアプローチや解決策をユーザーが検討するのを助け、会話の記憶とガイダンスを提供します。

conversational-aillm-memorycontext-managementdialogue-systemsGitHub
インストール方法
npx skills add https://github.com/obra/episodic-memory --skill remembering-conversations
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Before / After 効果比較

1
使用前

コードを探索したり問題を解決したりする際、情報の忘れや思考の中断により効率が低下しがちです。体系的な振り返りやガイダンスが不足しているため、最適な解決策を見つけるのが困難です。

使用後

スマートな振り返り対話は、記憶とガイダンスを提供し、最適な解決策を考えるのに役立ちます。問題解決の効率と意思決定の質を大幅に向上させます。

SKILL.md

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:

  1. Search with the search tool
  2. Read top 2-5 results with the show tool
  3. Synthesize findings (200-1000 words)
  4. 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__search
  • mcp__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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統計データ

インストール数9.2K
評価4.5 / 5.0
バージョン
更新日2026年9月3日
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ユーザー評価

4.5(276)
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4
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3
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2
2%
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対応プラットフォーム

🔧Claude Code
🔧OpenClaw
🔧OpenCode
🔧Codex
🔧Gemini CLI
🔧GitHub Copilot
🔧Amp
🔧Kimi CLI

タイムライン

作成2026年3月16日
最終更新2026年9月3日
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