Continuous-Claude-v3 recall

Query the memory system for relevant learnings from past sessions

install

source · Clone the upstream repo

git clone https://github.com/parcadei/Continuous-Claude-v3

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/parcadei/Continuous-Claude-v3 "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/recall" ~/.claude/skills/parcadei-continuous-claude-v3-recall && rm -rf "$T"

manifest: .claude/skills/recall/SKILL.md

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 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:

cd $CLAUDE_OPC_DIR && PYTHONPATH=. uv run python scripts/core/recall_learnings.py --query "<ARGS>" --k 5

Where

<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