Can I prevent it from saving simple typos?

Yes, the configuration includes an 'ignore_patterns' list where you can specify categories like simple typos or one-time fixes to keep your learned skills clean.

How does Continuous Learning extract patterns?

The skill utilizes a Stop hook that triggers at the end of a session to analyze the transcript. It looks for specific patterns like error resolutions and user-provided corrections based on your configured threshold.

Do I need to approve every learned skill?

This is configurable. You can set 'auto_approve' to false in the config.json if you prefer to review patterns before they are permanently saved.

Where are the learned skills stored?

By default, all successfully extracted patterns and skills are saved to your local directory at ~/.claude/skills/learned/.

Will this impact the performance of my Claude Code session?

No. Because it runs as a 'Stop' hook, the analysis only happens after your session ends, ensuring there is no latency while you are actively coding.

Continuous Session Learning

Name: Continuous Session Learning
Author: ysyecust

byysyecust

Productivity & Workflow

Automatically captures and persists reusable coding patterns and fixes from Claude Code sessions to build a personalized knowledge base.

About

Continuous Session Learning optimizes the developer workflow by identifying and saving valuable insights gained during interactions with Claude Code. By analyzing session transcripts upon completion, the skill extracts high-value patterns—such as recurring error resolutions, custom workarounds, and project-specific conventions—and saves them directly to your local environment. This ensures that knowledge discovered during one session is immediately available for future tasks, effectively reducing repetitive troubleshooting and enhancing the AI's contextual awareness over time.

Key Features

Configurable session length and extraction sensitivity thresholds
Support for capturing project-specific conventions and user corrections
Automatic session post-processing via lightweight Stop hooks
0 GitHub stars
Local persistence of learned skills in the Claude configuration directory
Intelligent pattern detection for error resolutions and workarounds

Use Cases

Persisting complex debugging techniques for niche or legacy frameworks
Building a local repository of internal project-specific architectural constraints
Automating the documentation of common developer mistakes and their respective fixes

About

Key Features

Configurable session length and extraction sensitivity thresholds
Support for capturing project-specific conventions and user corrections
Automatic session post-processing via lightweight Stop hooks
0 GitHub stars
Local persistence of learned skills in the Claude configuration directory
Intelligent pattern detection for error resolutions and workarounds

Use Cases

Persisting complex debugging techniques for niche or legacy frameworks
Building a local repository of internal project-specific architectural constraints
Automating the documentation of common developer mistakes and their respective fixes