Recall
Query the memory system for relevant learnings from past sessions
Specification
- Skill ID
- parcadei/continuous-claude-v3/recall
- Publisher
- parcadei
- Repository
- continuous-claude-v3
- Installs
- 0
- Files
- 1
- Synced
- Sep 23, 2026
How to use it
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
parcadei/continuous-claude-v3/recallInstalls these files- SKILL.md
What this skill tells the agent
Recall - Semantic Memory Retrieval
Query the memory system for relevant learnings from past sessions.
Usage
/recall <query>Examples
/recall hook development patterns
/recall wizard installation
/recall TypeScript errorsWhat 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:
cd $CLAUDE_OPC_DIR && PYTHONPATH=. uv run python scripts/core/recall_learnings.py --query "<ARGS>" --k 5Where <ARGS> is the query provided by the user.
Output Format
Present results as:
## Memory Recall: "<query>"
### 1. [TYPE] (confidence: high, id: abc123)
<full content>
### 2. [TYPE] (confidence: medium, id: def456)
<full content>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
More from parcadei
Use this skill in a project
Open any RiverX project, search the Skills panel for parcadei/continuous-claude-v3/recall, and install it in one click.