abc-xyz-segmentation SKILL.md skillA

abc-xyz-segmentation from aicodedecode/awesome-muse-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add aicodedecode/awesome-muse-skills/abc-xyz-segmentation@git:20260927.806f3e1

Pins git:20260927.806f3e1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
aicodedecode/awesome-muse-skills
Path
skills-imported/abc-xyz-segmentation/SKILL.md
Versions recorded
1
Latest version
git:20260927.806f3e1, committed Sep 27, 2026
Size
3,492 bytes
Repository stars
25
License
MIT

Segment a SKU portfolio on value (ABC) and demand variability (XYZ), produce the 9-box with a planning policy per cell, and reallocate planner attention accordingly. Use when the user mentions ABC analysis, inventory segmentation, SKU rationalization, stok segmentasyonu, envanter sınıflandırma, or asks which items deserve forecasting effort. Differentiator - ABC alone is treated as half an answer; policy lives in the value x variability combination.

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

# ABC-XYZ Segmentation

Value tells you where the money is. Variability tells you whether forecasting, buffering or restructuring can work. Never output a classification without the policy consequences.

## Required data

Per-SKU demand history (`sku`, `period`, `qty`) covering 12+ periods, plus unit value (`unit_price` or cost). Without unit value, ABC degrades to a volume ranking - say so and ask for prices before presenting conclusions about money.

## Workflow

1. **ABC on annual value.** Rank by annual consumption value; cumulative 80% = A, next 15% = B, rest = C. Report the actual concentration found (e.g. "15 SKUs = 80%"), not the folklore 20/80.
2. **XYZ on variability.** CV = std/mean of period demand per SKU. Defaults: X < 0.5, Y 0.5-1.0, Z >= 1.0. These are conventions - check the CV histogram for natural breaks and state the thresholds used. SKUs with structural zero periods (intermittent) belong in Z regardless of CV arithmetic; mean-based CV understates their risk.
3. **Build the 9-box** with SKU counts AND value share per cell. Value share is what makes managers act.
4. **Attach the policy per cell** (adapt wording to context):
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add aicodedecode/awesome-muse-skills/abc-xyz-segmentation@sha256:3481082fd871e8d6

The line at the top of this page pins the label git:20260927.806f3e1, 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 badge

[![mdr](https://markdownregistry.com/badge/art_ogjccdpcipksej76.svg)](https://markdownregistry.com/a/art_ogjccdpcipksej76)

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

Versions

The registry has recorded 1 version of this file, committed on Sep 27, 2026.

versioncommittedcommitsizeaudit
git:20260927.806f3e1 latest2026-09-27 806f3e1 3,492 BA 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 (3492 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

aicodedecode/awesome-muse-skills · 25 stars · license MIT · pushed 2026-10-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ogjccdpcipksej76
GET https://markdownregistry.com/api/v1/resolve?ref=aicodedecode/awesome-muse-skills/abc-xyz-segmentation
GET https://markdownregistry.com/api/v1/blob/3481082fd871e8d6957ef53227bb6d6069e17f209cfc01ee34fb8d3f3d0484d5

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.

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