skills.rest
parcadei
parcadeiCOMMUNITY
Explore all skills by this author →
GitHub

recall

Retrieve past session learnings via semantic search using PostgreSQL and BGE embeddings.

3.9k|296|Updated Dec 23, 2025
Search Tags:#typescript#context#recall#search#memory#learnings
One-click install
npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill recall-parcadei
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: recall
Source: https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/recall
Command: npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill recall-parcadei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill allows you to search and retrieve valuable information and insights learned in previous Claude sessions, preventing knowledge loss and redundant work.

Core Features & Use Cases

  • Semantic Search: Find relevant learnings based on natural language queries.
  • Contextual Recall: Retrieve specific details, patterns, or solutions from past interactions.
  • Use Case: If you previously figured out a complex debugging solution for a specific TypeScript error, you can use /recall to find that solution again when the same error occurs.

Quick Start

Query the memory system for relevant learnings from past sessions about hook development patterns.

Frequently Asked Questions about recall

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve past learnings and context from previous Claude sessions?▼

You can retrieve past learnings by querying a persistent memory system using semantic search. This allows you to find specific details, patterns, or solutions from past interactions to prevent knowledge loss.

What is semantic search for contextual recall in software engineering?▼

Semantic search for contextual recall finds relevant learnings based on natural language queries. It leverages BGE embeddings to retrieve conversational context and extracted insights from past problem-solving sessions.

Do I need PostgreSQL to use semantic search for past TypeScript learnings?▼

Yes, PostgreSQL is required as the persistent memory system backend. The retrieval mechanism uses PostgreSQL alongside BGE embeddings to achieve high-precision recall of historical learnings.

How do I find a previous debugging solution for a recurring TypeScript error?▼

Query the memory system with a natural language search to recall the specific debugging solution. This prevents redundant work by retrieving the exact details of how you previously resolved the TypeScript error.

Can I search past development patterns using natural language queries?▼

Yes, you can search past development patterns using natural language queries. The system facilitates knowledge recall for previous code development, system configurations, and problem-solving contexts.

Related Skills

Explore More Software Engineering Skills→
scooter-lacroixscooter-lacroix
8

Recall - Semantic Memory Retrieval

Retrieves relevant past learnings from PostgreSQL using BGE embeddings.

Community
Intermediate
ScotterMonkScotterMonk
37

learning

Organizes technical solutions and patterns by category for retrieval.

Community
Intermediate
kerimkerim
13

zotero-mcp

Search Zotero papers via semantic, keyword, tag, and full-text queries.

Community
Advanced
handsomelong922handsomelong922

chroma

Store and retrieve embeddings with metadata using a vector database.

Community
Intermediate