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context-retrieval

Community

Turn memory into decision-ready context.

Data & Analytics#embeddings#patterns#retrieval#memory#semantic-search#context-retrieval
Authord-o-hub
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Retrieve relevant episodic context from memory for informed decision-making. This Skill helps you access past episodes, patterns, and solutions to similar tasks, saving time and avoiding reinventing the wheel.

Core Features & Use Cases

  • Semantic Search (Preferred): When an embedding service is configured, retrieve context via vector similarity to find semantically similar tasks.
  • Keyword/Index Search (Fallback): If embeddings are unavailable, fall back to SQL-like indexing for fast, deterministic results.
  • Use Case: Quickly gather prior implementations and patterns for a current task to accelerate delivery and reduce risk.

Quick Start

Use the context-retrieval skill to fetch the most relevant past episodes for the task "implement async batch updates" and provide a concise context briefing to inform the current work.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: context-retrieval
Download link: https://github.com/d-o-hub/rust-self-learning-memory/archive/main.zip#context-retrieval

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
View Source Repository