What is the primary storage format for Context Memory?

Context Memory stores all data as standard Markdown files with YAML frontmatter, specifically organized to be viewed and searched within an Obsidian vault.

Can I search through previously stored context?

Yes, the skill includes a 'recall_query' function that allows you to search through all stored file analyses, patterns, and decisions using keywords.

Does this require a specific vault structure?

The skill includes an initialization script that creates a standard PRISM-Memory folder structure containing subdirectories for Files, Patterns, Decisions, and Commits.

How does this improve AI-assisted development?

By providing persistent storage, it prevents the AI from having to re-analyze the same files repeatedly, saving tokens and maintaining consistency across development sessions.

Context Memory

Name: Context Memory
Author: resolve-io

byresolve-io

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Learning & Documentation

Synchronizes AI-generated code insights and architectural decisions with persistent, human-readable Obsidian markdown vaults.

Context Memory is a specialized utility designed to bridge the gap between transient AI analysis and long-term project documentation. By capturing file summaries, reusable code patterns, and architectural decisions as structured Markdown files with YAML frontmatter, it allows developers to build a persistent "brain" for their codebase within an Obsidian vault. This skill is particularly effective for teams using the PRISM methodology, ensuring that critical context like implementation rationale, system complexity, and design patterns remains accessible to both human developers and AI agents across multiple sessions.

Key Features

01Reusable code pattern repository with usage guidance

021 GitHub stars

03Structured capture of Architectural Decision Records (ADRs)

04Full-text search and query capabilities for stored context

05Automated storage of file analyses including purpose and complexity

06Seamless integration with Obsidian via standard Markdown and YAML

Use Cases

01Tracking evolution of architectural decisions and their consequences

02Maintaining a persistent knowledge base for complex legacy codebases

03Onboarding developers by providing AI-curated summaries of file structures

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add resolve-io/.prism context-memory

For use in Claude.ai and ChatGPT

Download Skill