Can it help with documentation?

Yes, it can identify gaps in help content and propose updates to README files or troubleshooting guides based on common usage patterns.

What is the primary purpose of the Plugin Evolution skill?

It is designed for meta-development, helping users analyze usage data and propose structured improvements to the As You plugin itself.

When should I trigger this skill?

Trigger it when you want to optimize plugin performance, identify feature gaps, analyze user trends, or plan the next steps in your development roadmap.

Does this skill automatically modify my plugin files?

No, it follows a 'Propose Only' principle, presenting clear improvement proposals and leaving the final implementation decision to the user.

What data sources does it use for analysis?

It utilizes pattern_tracker.json for frequency data, as well as the existing command structures, skills, agents, and design documentation in the repository.

Plugin Evolution & Meta-Development

Name: Plugin Evolution & Meta-Development
Author: h315uk3

byh315uk3

생산성 및 워크플로

Drives the continuous improvement and feature evolution of the As You plugin through data-driven analysis and meta-development proposals.

소개

The Plugin Evolution skill provides a structured framework for the meta-development of the As You plugin. By analyzing real-world usage patterns stored in the pattern tracker, it identifies feature gaps, performance bottlenecks, and documentation needs. It allows developers to propose incremental, high-impact improvements and new features, such as WIP resumption or RAG integration, based on empirical facts rather than assumptions. The skill maintains a 'propose-only' philosophy, ensuring that the user remains in control of the implementation while benefiting from sophisticated architectural suggestions.

주요 기능

Targeted documentation and troubleshooting guide enhancements
0 GitHub stars
Data-driven usage analysis using pattern_tracker.json
Performance optimization for scripts and lifecycle hooks
Structured improvement proposals with difficulty and priority levels
Automated identification of unused or redundant features

사용 사례

Optimizing plugin performance by identifying bottlenecks in existing workflows
Prioritizing the development of new features based on actual command usage frequency
Designing work-interruption and resumption (WIP) logic based on session continuity data

소개

주요 기능

Targeted documentation and troubleshooting guide enhancements
0 GitHub stars
Data-driven usage analysis using pattern_tracker.json
Performance optimization for scripts and lifecycle hooks
Structured improvement proposals with difficulty and priority levels
Automated identification of unused or redundant features

사용 사례

Optimizing plugin performance by identifying bottlenecks in existing workflows
Prioritizing the development of new features based on actual command usage frequency
Designing work-interruption and resumption (WIP) logic based on session continuity data