Remembering Conversations
此技能允许用户通过语义相似性或精确文本匹配来搜索存档的对话，从而快速检索事实、模式、决策和上下文。它能有效避免重复研究和解决方案的重新发明，确保团队决策基于完整的历史信息，显著提升开发和协作效率。
git clone https://github.com/obra/superpowers-skills.gitBefore / After 效果对比
1 组在没有这个技能之前，用户需要手动翻阅大量的历史对话记录，耗费大量时间寻找特定的信息、决策或解决方案，常常导致重复研究或遗漏重要上下文，降低了工作效率。
此技能通过语义或文本搜索，用户可以迅速定位到相关的历史对话内容，快速获取所需的事实、模式和决策，显著减少信息查找时间，确保决策基于完整上下文，从而大幅提升开发和协作效率。
Remembering Conversations
Search archived conversations using semantic similarity or exact text matching.
Core principle: Search before reinventing.
Announce: "I'm searching previous conversations for [topic]."
Setup: See INDEXING.md
When to Use
Search when:
- Your human partner mentions "we discussed this before"
- Debugging similar issues
- Looking for architectural decisions or patterns
- Before implementing something familiar
Don't search when:
- Info in current conversation
- Question about current codebase (use Grep/Read)
In-Session Use
Always use subagents (50-100x context savings). See skills/using-skills for workflow.
Manual/CLI use: Direct search (below) for humans outside Claude Code sessions.
Direct Search (Manual/CLI)
Tool: ${SUPERPOWERS_SKILLS_ROOT}/skills/collaboration/remembering-conversations/tool/search-conversations
Modes:
search-conversations "query" # Vector similarity (default)
search-conversations --text "exact" # Exact string match
search-conversations --both "query" # Both modes
Flags:
--after YYYY-MM-DD # Filter by date
--before YYYY-MM-DD # Filter by date
--limit N # Max results (default: 10)
--help # Full usage
Examples:
# Semantic search
search-conversations "React Router authentication errors"
# Find git SHA
search-conversations --text "a1b2c3d4"
# Time range
search-conversations --after 2025-09-01 "refactoring"
Returns: project, date, conversation summary, matched exchange, similarity %, file path.
For details: Run search-conversations --help
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