skf-refine-architecture

Name: skf-refine-architecture
Availability: InStock
Author: delorenj

Analyze architecture documents against skill APIs and VS feasibility reports.

Updated Apr 15, 2026

Search Tags:#gap analysis #issue detection #skill analysis #architecture refinement #VS feasibility

Ready to run

npx skills add https://github.com/delorenj/voxxy --skill skf-refine-architecture-delorenj

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skf-refine-architecture
Source: https://github.com/delorenj/voxxy/tree/main/.gemini/skills/skf-refine-architecture
Command: npx skills add https://github.com/delorenj/voxxy --skill skf-refine-architecture-delorenj

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pydantic, markdown, json, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill refines architecture documents by analyzing generated skills and VS feasibility reports, filling gaps, flagging issues, and suggesting improvements backed by API evidence.

Core Features & Use Cases

Gap Analysis: Identifies undocumented integration paths between libraries based on skill data.
Issue Detection: Finds contradictions between architecture claims and skill API reality.
Improvement Detection: Suggests unutilized library capabilities for enhancing the architecture.
VS Report Integration: Incorporates Verify Stack feasibility report findings to strengthen issue detection.

Quick Start

To refine an architecture document, provide the architecture document path and, optionally, a VS feasibility report path. The Skill will then initiate the refinement process.

Frequently Asked Questions about skf-refine-architecture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I identify gaps and undocumented integration paths in an architecture document?▼

To identify gaps in an architecture document, you can analyze generated skills and API documentation to find undocumented integration paths between libraries and suggest evidence-backed improvements.

How does issue detection work when refining architecture claims against skill API reality?▼

Issue detection works by cross-referencing architecture claims against skill API data and Verify Stack feasibility reports to flag contradictions and find missing capabilities backed by API evidence.

What is the best way to incorporate Verify Stack feasibility report findings into architecture refinement?▼

The best way to incorporate Verify Stack (VS) feasibility findings is to provide the VS report path alongside the architecture document, strengthening issue detection and gap analysis with feasibility context.

Can I use Python and Pydantic to automate architecture document gap analysis?▼

Yes, you can use Python and Pydantic dependencies to automate architecture gap analysis, parsing markdown and JSON inputs to detect issues and output evidence-backed architecture refinement suggestions.

How do I start architecture refinement using generated skills and feasibility reports?▼

To start architecture refinement, provide the path to your architecture document and optionally a VS feasibility report path; the system will then analyze the data to flag issues and suggest improvements.

When do I need architecture refinement to find contradictions in my software design?▼

You need architecture refinement when your design claims lack API evidence, requiring gap analysis and issue detection to reconcile architecture documents with actual skill API behavior and feasibility constraints.