Will this slow down my coding experience?

No, it utilizes a 'Stop' hook which only runs once your session is finished, ensuring there is zero latency during your active development and message exchanges.

Can I control which patterns are saved?

Yes, you can configure specific patterns to detect or ignore in the config.json file, and toggle the auto_approve setting to review skills before they are saved.

What counts as a 'reusable pattern'?

The skill looks for error resolutions, user corrections to AI mistakes, workarounds for library quirks, effective debugging steps, and project-specific coding conventions.

How does the Continuous Learning skill work?

It executes a script at the end of your session that analyzes the full transcript for reusable patterns like bug fixes or specific project rules, then saves them as learned skills.

Where are the learned skills stored?

By default, the skill saves all extracted patterns to your local filesystem at ~/.opencode/skills/learned/ for easy management and persistence.

Continuous Learning

Name: Continuous Learning
Author: monch1962

bymonch1962

•

Productividad y Flujo de Trabajo

Automatically identifies and saves reusable coding patterns, error resolutions, and project conventions from your development sessions.

The Continuous Learning skill enhances your AI development environment by automatically analyzing session history upon completion to capture valuable institutional knowledge. By utilizing a non-blocking Stop hook, it identifies successful error resolutions, specific framework workarounds, and unique debugging techniques, storing them as persistent skills that the AI can reference in future interactions. This creates a self-improving development loop where your AI assistant becomes increasingly smarter and more context-aware of your specific codebase and preferences with every task performed.

Características Principales

01Automatic post-session analysis via lightweight Stop hooks

021 GitHub stars

03Intelligent pattern extraction for error resolutions and workarounds

04Configurable auto-approve or manual review modes for new skills

05Customizable extraction thresholds and session length requirements

06Project-specific convention storage for consistent code generation

Casos de Uso

01Training the AI on unique project-specific architectural patterns and standards

02Preserving undocumented framework workarounds discovered during active development

03Capturing complex bug fixes to prevent repetitive troubleshooting in future sessions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add monch1962/everything-opencode continuous-learning

For use in Claude.ai and ChatGPT

Download Skill