Can this skill be used for pull request reviews?

Yes, it features specific logic for PR reviews, using the PR body or title to query historical findings and injecting them directly into code-reviewer tasks.

What happens if the ruvector plugin is not installed?

The skill includes a fast-path presence check that looks for a .ruvector directory and uses ToolSearch discovery to gracefully skip memory queries if the dependency is missing.

How does it handle duplicate entries in the memory store?

Before storing new data, the skill performs a deduplication check; if a near-match with a score higher than 0.82 is found, it skips the storage process to avoid noise.

How does the skill ensure search results are relevant?

It implements result filtering that discards any findings with a similarity score below 0.5 and truncates the combined content to 800 characters to maintain context quality.

Institutional Memory Query

Name: Institutional Memory Query
Author: KingInYellows

byKingInYellows

0•

Productivity & Workflow

Leverages vector-based institutional memory to inform AI coding tasks with historical patterns and past solutions.

The memory-query skill provides a standardized pattern for Claude to access an organization's 'institutional memory' via the ruvector vector store. It enables agents to query historical PR reviews, implementation patterns, and past findings before executing new tasks, ensuring that future work builds upon established knowledge rather than starting from scratch. With built-in graceful degradation for environments without ruvector and intelligent deduplication, it maintains high-quality context without cluttering the transformer's attention window with redundant or low-quality information.

Key Features

01Graceful degradation logic for missing dependencies or inactive servers

02Intelligent filtering with similarity score thresholds

030 GitHub stars

04Semantic query construction for PR reviews and project plans

05Canonical vector memory retrieval pattern for ruvector

06Automated deduplication logic for memory storage (0.82 threshold)

Use Cases

01Referencing past architectural decisions when planning new feature implementations

02Retrieving historical context during PR reviews to maintain organizational code standards

03Building a self-improving knowledge base that avoids redundant data entry across sessions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kinginyellows/yellow-plugins memory-query

For use in Claude.ai and ChatGPT

Download Skill