vibeeval/vibecosystem/recall

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Query the memory system for relevant learnings from past sessions using semantic search.

Install

npx vskill@latest install vibeeval/vibecosystem/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

  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:

bash
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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

See the full security report

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

See evaluation results

Source

Popularity

Repository stars
529
Repository forks
44
Repository npm downloads, 7 days
6
7-day trend score
45

Stars and forks are for the whole GitHub repository, not this skill alone. Downloads are for the repository's npm package. Refreshed 30 Apr 2026, 6 months ago.

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