Is an Obsidian vault required?

Yes, this skill is designed to interface with an Obsidian vault configured via the mcp-obsidian-mem plugin.

What is the difference between mem_search and mem_read?

mem_search returns a lightweight list of relevant titles and paths to save tokens, while mem_read is used to fetch the full text content of a specific note.

How does mem-search help with debugging?

It allows you to search your stored memory for past error resolutions, helping you fix recurring bugs faster by referencing proven solutions recorded in your vault.

Can I filter results by specific categories?

Yes, you can filter your queries by 'error', 'decision', 'pattern', or 'learning' to narrow down the search to specific types of technical context.

Does this skill support project-wide overviews?

Yes, the mem_project_context tool aggregates all active decisions, patterns, and unresolved errors for a specific project name.

Obsidian Memory Search

Name: Obsidian Memory Search
Author: Z-M-Huang

byZ-M-Huang

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Productivity & Workflow

Searches your Obsidian-based knowledge base to retrieve past architectural decisions, error resolutions, and coding patterns.

The Obsidian Memory Search skill transforms Claude Code into a context-aware assistant by connecting it to your personal or team Obsidian vault. It allows you to store and retrieve specialized domain knowledge, from how complex bugs were previously squashed to the rationale behind specific architectural choices. By utilizing natural language queries and structured filters for errors, decisions, and patterns, this skill ensures that project history and hard-earned learnings are always at your fingertips, preventing the loss of institutional knowledge across long-term development cycles.

Key Features

01Categorized filtering for errors, decisions, patterns, and learnings

02Natural language searching across Obsidian vaults

03Lightweight search summaries with deep-read capabilities

048 GitHub stars

05Project-wide context aggregation for unresolved issues

06Seamless integration with Claude Code workflows

Use Cases

01Reviewing historical architectural decisions to ensure new features align with established patterns

02Retrieving the exact fix for an obscure authentication error encountered in a previous project session

03Onboarding to a new codebase by accessing a project-wide summary of active patterns and technical debt

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add z-m-huang/cc-obsidian-mem mem-search

For use in Claude.ai and ChatGPT

Download Skill