cva-analysis SKILL.md skillA

cva-analysis from rjmurillo/ai-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add rjmurillo/ai-agents/cva-analysis@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: rjmurillo/ai-agents
Path: .claude/skills/cva-analysis/SKILL.md
Versions recorded: 5
Latest version: v1.0.0, committed Sep 25, 2026
First version recorded: Jun 27, 2026
Size: 19,205 bytes
Repository stars: 48
License: MIT

Systematic abstraction discovery using Commonality Variability Analysis. Build matrix of what varies vs what's constant, then let patterns emerge. Prevents wrong abstractions by deferring pattern selection until requirements are analyzed. Use when facing multiple similar requirements and need to discover natural abstractions.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# CVA Analysis - Discover Natural Abstractions

Commonality Variability Analysis (CVA) is a systematic technique for discovering abstractions from requirements. Instead of choosing patterns first, you build a matrix showing what's COMMON (constant across use cases) vs what VARIES (differs between cases). Patterns emerge naturally from the matrix structure.

**Core Insight**: Rows (commonalities) map to Strategy pattern. Columns (variabilities) map to Abstract Factory pattern. The matrix reveals whether abstraction is needed at all.

**From CLAUDE.md Design Philosophy**: "Greatest vulnerability is wrong or missing abstraction." CVA prevents wrong abstractions by making pattern selection evidence-based, not intuition-based.

## Triggers

Activate CVA when you encounter:

- `discover abstractions for {domain}`
- `run CVA analysis on {requirements}`
- `commonality variability analysis`
- `prevent wrong abstraction`
- `what patterns emerge from {use cases}`

## Quick Reference

| Phase | Purpose | Input | Output | Time |
|-------|---------|-------|--------|------|
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add rjmurillo/ai-agents/cva-analysis@sha256:1fdcc2769463a44c

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_clwqwylzz24zhdai.svg)](https://markdownregistry.com/a/art_clwqwylzz24zhdai)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jun 27, 2026 and Sep 25, 2026, about one every 22 days.

version	committed	commit	size	audit
v1.0.0 latest	2026-09-25	3fda96c	19,205 B	A	view · diff
v1.0.0	2026-07-22	e7a63be	19,045 B	A	view · diff
v1.0.0	2026-07-19	928112e	19,070 B	A	view · diff
v1.0.0	2026-06-30	b9bf874	19,074 B	A	view · diff
v1.0.0	2026-06-27	d640858	18,281 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (19205 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

rjmurillo/ai-agents · 48 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_clwqwylzz24zhdai
GET https://markdownregistry.com/api/v1/resolve?ref=rjmurillo/ai-agents/cva-analysis
GET https://markdownregistry.com/api/v1/blob/1fdcc2769463a44ced4ed1c2c711d04437a6e22660d1229f0387b9ca6a772aa6

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.