mva-report

Generate a structured conversation flow report for post-conversation analysis.

2|Updated Mar 22, 2026
One-click install
npx skills add https://github.com/jsagir/mindrian-os-plugin --skill mva-report
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mva-report
Source: https://github.com/jsagir/mindrian-os-plugin/tree/main/skills/mva-report
Command: npx skills add https://github.com/jsagir/mindrian-os-plugin --skill mva-report

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of obtaining a clean, structured report of the conversation flow without providing a transcript, enabling users to audit the conversation's effectiveness and structure.

Core Features & Use Cases

  • Emit Clean Report: Produces a report detailing the flow of the conversation, identifying frames, moves, and the overall structure.
  • No Transcript: Provides an artifact that can be forwarded, rather than a verbatim chat log.
  • Use Case: Ideal for post-conversation analysis, helping to evaluate whether the conversation reached a conclusion, elevated across frames, and triggered the necessary Shape-F gates.

Quick Start

To generate a conversation report, simply activate the mva-report skill.

Frequently Asked Questions about mva-report

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

FAQPage Schema
How do I generate a structured conversation report for post-conversation analysis?

To generate a structured conversation report for post-conversation analysis, activate the skill to produce a clean artifact detailing conversation flow, frames, moves, and overall structure without providing a full transcript.

Can I audit conversation effectiveness without sharing a verbatim chat transcript?

You can audit conversation effectiveness without sharing a verbatim chat transcript by generating a structured report that omits the transcript, providing a clean artifact safe for forwarding and quality assurance review.

What is the best way to review conversation flow for quality assurance?

The best way to review conversation flow for quality assurance is to emit a clean structured report evaluating problem framing effectiveness, moves made, and whether the conversation triggered the necessary Shape-F gates.

Does generating a conversation report require any external dependencies or components?

Generating a conversation report requires no external dependencies or components. You can activate the skill directly in your environment to produce the post-conversation audit artifact.

How do I evaluate if a conversation reached a conclusion and elevated across frames?

To evaluate if a conversation reached a conclusion and elevated across frames, generate a structured conversation report that explicitly identifies the frames, moves made, and the overall flow structure for your review.