When is the best time to run the Best Practices Learner?

It is most effective when used immediately after completing a project milestone, following a multi-skill review, or when a new repeatable pattern is discovered.

How does Best Practices Learner identify coding patterns?

It analyzes completed tasks, file structures, and implementation history to find recurring strategies that lead to successful outcomes or efficiency gains.

Does it track the evolution of my coding standards?

Yes, it includes a specific operation to document how practices have changed over time, providing a clear rationale for why certain standards emerged.

Can this skill update my project guidelines automatically?

Yes, it is specifically designed to feed learnings directly into documentation files like common-patterns.md and development-workflow guides.

Best Practices Learner

Name: Best Practices Learner
Author: adaptationio

byadaptationio

Productivity & Workflow

Extracts and formalizes recurring patterns and best practices from development experiences to enable continuous ecosystem improvement.

About

Best Practices Learner is a specialized capability designed to transform individual project experiences into reusable institutional knowledge. It systematically analyzes completed tasks, review findings, and successful implementations to extract patterns and document insights that improve future development cycles. By feeding these learnings back into common pattern libraries and templates, it ensures that every skill built contributes to a higher standard of quality and efficiency across the entire software ecosystem.

Key Features

Guideline Updates: Automatically synchronizes findings with common-patterns.md and development templates.
Knowledge Propagation: Facilitates the sharing of validated technical insights across diverse teams and projects.
Evolution Tracking: Maintains a chronological log of how standards and practices have matured over time.
Learning Documentation: Captures successes, failures, and specific insights to prevent redundant mistakes.
Pattern Extraction: Identifies structural and process-based patterns from completed code and documentation.
0 GitHub stars

Use Cases

Standardizing documentation and architectural patterns across multiple AI-driven projects.
Updating organizational development workflows based on performance metrics and review findings.
Automating post-implementation retrospectives to capture effective coding techniques.

About

Key Features

Guideline Updates: Automatically synchronizes findings with common-patterns.md and development templates.
Knowledge Propagation: Facilitates the sharing of validated technical insights across diverse teams and projects.
Evolution Tracking: Maintains a chronological log of how standards and practices have matured over time.
Learning Documentation: Captures successes, failures, and specific insights to prevent redundant mistakes.
Pattern Extraction: Identifies structural and process-based patterns from completed code and documentation.
0 GitHub stars

Use Cases

Standardizing documentation and architectural patterns across multiple AI-driven projects.
Updating organizational development workflows based on performance metrics and review findings.
Automating post-implementation retrospectives to capture effective coding techniques.