recall
🎯Skillfrom parcadei/continuous-claude-v3
|Retrieves and surfaces relevant past learnings from semantic memory using vector search and contextual matching.
Installation
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill recallSkill Details
Query the memory system for relevant learnings from past sessions
Overview
# Recall - Semantic Memory Retrieval
Query the memory system for relevant learnings from past sessions.
Usage
```
/recall
```
Examples
```
/recall hook development patterns
/recall wizard installation
/recall TypeScript errors
```
What It Does
- Runs semantic search against stored learnings (PostgreSQL + BGE embeddings)
- Returns top 5 results with full content
- Shows learning type, confidence, and session context
Execution
When this skill is invoked, run:
```bash
cd $CLAUDE_OPC_DIR && PYTHONPATH=. uv run python scripts/core/recall_learnings.py --query "
```
Where
Output Format
Present results as:
```
Memory Recall: "<query>"
1. [TYPE] (confidence: high, id: abc123)
2. [TYPE] (confidence: medium, id: def456)
```
Options
The user can specify options after the query:
--k N- Return N results (default: 5)--vector-only- Use pure vector search (higher precision)--text-only- Use text search only (faster)
Example: /recall hook patterns --k 10 --vector-only
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