What happens when a new file is created or a commit is made?

The skill automatically parses the context and uses the memory record tool to store a summary, background details, and importance level for future retrieval.

How does this improve Claude's coding suggestions?

By retrieving past work before suggesting new code, Claude can follow your specific project conventions, use the correct libraries, and respect previous architectural decisions.

Do I need to manually trigger memory searches?

No, this skill is proactive and triggers automatically whenever you ask questions about the project, patterns, or past implementations.

Does it track team decisions?

Yes, if decisions are recorded in commits or session context, the skill indexes them to ensure Claude aligns with team-wide technology choices and conventions.

Memory Auto-Track

Name: Memory Auto-Track
Author: julep-ai

byjulep-ai

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Learning & Documentation

Automatically manages project context and history to provide intelligent, pattern-aware coding assistance without manual input.

About

Memory Auto-Track is a proactive context management skill for Claude Code that ensures development history and architectural decisions are never lost. By automatically indexing file changes, commit logs, and implementation patterns into a persistent memory store, it allows Claude to provide answers rooted in your project's specific reality. The skill activates automatically when you ask questions about past work or start new features, ensuring every suggestion remains consistent with established team conventions and previous technical choices.

Key Features

Automated tracking of implementation patterns and architectural decisions
Importance-based memory ranking to prioritize critical project milestones
Intelligent search cue generation for highly relevant context discovery
Proactive memory retrieval for project-specific queries
4 GitHub stars
Seamless background storage of commits, file changes, and session data

Use Cases

Onboarding or switching between complex projects without losing context on established conventions
Maintaining architectural consistency when implementing new API endpoints or features
Quickly retrieving the rationale behind past technical decisions or specific code patterns

About

Key Features

Automated tracking of implementation patterns and architectural decisions
Importance-based memory ranking to prioritize critical project milestones
Intelligent search cue generation for highly relevant context discovery
Proactive memory retrieval for project-specific queries
4 GitHub stars
Seamless background storage of commits, file changes, and session data

Use Cases

Onboarding or switching between complex projects without losing context on established conventions
Maintaining architectural consistency when implementing new API endpoints or features
Quickly retrieving the rationale behind past technical decisions or specific code patterns