Remembering Conversations
This skill allows users to search archived conversations using semantic similarity or exact text matching, quickly retrieving facts, patterns, decisions, and context. It effectively prevents redundant research and the reinvention of solutions, ensuring team decisions are based on complete historical information, thereby significantly boosting development and collaboration efficiency.
git clone https://github.com/obra/superpowers-skills.gitBefore / After Comparison
1 组Before this skill, users had to manually sift through extensive historical conversation logs, spending significant time searching for specific information, decisions, or solutions. This often led to redundant research or missing crucial context, reducing work efficiency.
With this skill, users can quickly locate relevant historical conversation content through semantic or text search, rapidly obtaining needed facts, patterns, and decisions. This significantly reduces information retrieval time, ensures decisions are based on complete context, and greatly boosts development and collaboration efficiency.
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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