Agent-Skills.md

Agent Skills: Recall - Semantic Memory Retrieval

Query the memory system for relevant learnings from past sessions

UncategorizedID: parcadei/continuous-claude-v3/recall

Repository

parcadei/continuous-claude-v3
parcadeiLicense: MIT
3,631281

Install this agent skill to your local

pnpm dlx add-skill https://github.com/parcadei/Continuous-Claude-v3/tree/HEAD/.claude/skills/recall

Skill Files

Browse the full folder contents for recall.

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.claude/skills/recall/SKILL.md

Skill Metadata

Name
recall
Description
Query the memory system for relevant learnings from past sessions

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

  1. Runs semantic search against stored learnings (PostgreSQL + BGE embeddings)
  2. Returns top 5 results with full content
  3. 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