Does this skill help me avoid past mistakes?

Absolutely. It uses success and failure tagging to provide balanced insights, ensuring that you can learn from previous implementation failures as effectively as successful ones.

How does semantic vector search improve my coding results?

Instead of basic keyword matching, it uses 2-3 sentence summaries to understand technical context. This allows Claude to find more relevant architectural solutions and patterns based on the intent of your query.

When should I use Coder Memory Recall vs. project-memory-recall?

Use Coder Memory Recall for universal patterns and cross-domain expertise (e.g., JWT auth best practices). Use project-memory-recall for questions specific to your current local codebase, such as git history or internal documentation.

What is the Coder Memory Recall skill?

It is a specialized capability for Claude Code that enables the retrieval of universal coding patterns, architectural guidance, and past implementation insights from a Qdrant vector database using semantic search.

Can I filter coding memories by specific domains?

Yes. The skill supports role-based collections such as backend-dev, frontend-dev, and financial-engineer, allowing you to narrow the search to the most relevant professional domain.

Claude Code Skill: Coder Memory Recall for Best Practices

Coder Memory Recall empowers developers to tap into a vast repository of universal coding patterns, best practices, and past experiences stored within a Qdrant vector database. By leveraging semantic search and role-based collections—such as backend, frontend, and financial engineering—the skill provides high-context guidance for multi-step implementations and unfamiliar debugging scenarios. It intelligently filters results based on memory types like episodic or procedural, ensuring that the retrieved insights are precisely aligned with the current task's architectural or technical requirements.

主な機能

01Success and Failure Tagging to provide balanced insights from past implementations

02Role-Based Collections for specialized domains like backend, frontend, and financial engineering

033 GitHub stars

04Metadata-Rich Previews that optimize token usage by retrieving full content only when needed

05Memory Type Filtering to distinguish between episodic experiences and procedural guides

06Semantic Vector Search using multi-sentence summaries for precise pattern matching

ユースケース

01Architecting complex, multi-step implementations using proven universal patterns

02Troubleshooting unfamiliar technical problems by recalling past debugging strategies

03Switching between different technical domains or roles while maintaining high-standard coding practices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hungson175/deploy-memory-tools coder-memory-recall

For use in Claude.ai and ChatGPT

Download Skill