recall

parcadei/continuous-claude-v3 · updated Apr 8, 2026

$npx skills add https://github.com/parcadei/continuous-claude-v3 --skill recall
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summary

Query the memory system for relevant learnings from past sessions.

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:

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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.863 reviews
  • Meera Wang· Dec 28, 2024

    recall fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Lucas Flores· Dec 16, 2024

    We added recall from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ganesh Mohane· Dec 8, 2024

    Useful defaults in recall — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Arjun Tandon· Dec 4, 2024

    recall has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sakshi Patil· Nov 27, 2024

    recall is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ama Ndlovu· Nov 23, 2024

    recall fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Soo Johnson· Nov 19, 2024

    recall has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hiroshi Sharma· Nov 7, 2024

    Solid pick for teams standardizing on skills: recall is focused, and the summary matches what you get after install.

  • Arya Singh· Nov 7, 2024

    recall reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Hiroshi Haddad· Nov 3, 2024

    Registry listing for recall matched our evaluation — installs cleanly and behaves as described in the markdown.

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