Sd 22 Dmsms

Community

jgsystemsconsulting

sd-22-dmsms

Knowledge base from the SD-22 DMSMS Guidebook (DSPO, SD-22, 06-JAN-2026 (cover dated December 2025)). Use for managing Diminishing Manufacturing Sources and Material Shortages (DMSMS) and obsolescence across a long-lived system's life cycle: the five-step process (Prepare, Identify, Assess, Analyze, Implement); standing up a DMSMS Management Team (DMT) and Management Plan (DMP); FMS communication and FMS considerations on partner configurations; risk-based monitoring and surveillance (predictive tools, vendor surveys, GIDEP/DLA PDNs, critical-materials analysis); health assessments and resolution timing; costing and selecting resolutions (life-of-need buys, substitutes, redesign, technology refreshment) by AoA/BCA, including system security engineering as an Analyze consideration; and budgeting/executing resolutions through modification funding and related accounts. Defense-sustainment / DoD-acquisition framing throughout. Does NOT teach general systems engineering, parts-management standards, or contracting law in depth, and does not reproduce DoD policy text or the source's tables and figures.

Overview

Publisher	jgsystemsconsulting
Repository	`jgs-se-knowledge-packs`
Skill name	`sd-22-dmsms`
Stars	121
Forks	1
Bundled files	12
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
12 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by jgsystemsconsulting on GitHub. Read the source before you install it.

Installation

Install the Sd 22 Dmsms AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/sd-22-dmsms
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/sd-22-dmsms

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs.git /tmp/jgs-se-knowledge-packs
mkdir -p .claude/skills
cp -r /tmp/jgs-se-knowledge-packs/packs/sd-22-dmsms .claude/skills/sd-22-dmsms

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sd 22 Dmsms in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Sd 22 Dmsms on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Sd 22 Dmsms is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SD-22 DMSMS (06-JAN-2026)

Source: Defense Standardization Program Office (DSPO), US Government work, public domain (17 U.S.C. 105); Distribution A from ASSIST metadata; no printed DOPSR case | Chapters: 8 | See LICENSE

When to use

Use this skill to manage obsolescence and supply loss on a system that must stay supportable for decades while commercial technology turns over in years. It covers the SD-22, 06-JAN-2026 discipline: set up a DMSMS program, decide what to watch, judge when an issue threatens cost/schedule/readiness, choose a durable resolution, fund and field it, and handle FMS partner configurations when DoD sells or supports them.

Prerequisites: none. Plain Markdown; no MCP server, API key, or licence tier needed at runtime.

How to Use This Skill

Without arguments - load the five-step spine, DMT/DMP infrastructure, monitoring model, and resolution logic below.
With a topic - ask about a step (Prepare/Identify/Assess/Analyze/Implement), FMS practice, a monitoring concept (predictive tools, PDN, vendor survey, critical materials), a resolution family (life-of-need buy, substitute, redesign, technology refreshment), or an artifact (DMT, DMP, health assessment).
With a chapter - ch03 (Prepare/DMT/DMP/FMS communication), ch04 (Identify/monitoring/BOM), ch05 (Assess/health assessment), ch06 (Analyze/BCA/security consideration), ch07 (Implement/funding/roadmaps), ch08 (obsolescence relationship).

Supporting files: glossary.md, patterns.md, cheatsheet.md.

State versus event. Obsolescence is a context-dependent state. A DMSMS issue is the event where supply cannot meet demand. Most DMSMS problems grow from obsolescence, but not all, and not every obsolete item is a DMSMS problem.

Core Frameworks & Mental Models

What DMSMS is

DMSMS is the loss or impending loss of manufacturers and suppliers of the items, materials, and software a system depends on. SD-22 frames management as risk-based, multidisciplinary, and life-cycle-long. Electronics, MaSME items, and software are all in scope.

Two mechanisms. First-order obsolescence comes from market or regulatory cuts to buy/license/support paths. Lower-order (derived) obsolescence is functional loss the program's own changes create.

The five-step process

Prepare - foundations, DMT, DMP, operations funding, contracts, workforce, FMS communication.
Identify - monitoring and surveillance into an issue list.
Assess - whether, when, and at what level to resolve.
Analyze - options, costs, BCA/AoA, security-engineering screen, preferred path.
Implement - fund, field, close; align with mods and roadmaps.

This edition does not name a Strategize step.

FMS in this edition

Security-cooperation sales add communication paths in Prepare and step-level notes in Identify, Analyze, and Implement so partner configurations are not surprises.

Chapter Index

File	Job
ch01-sd-22-dmsms-introduction.md	Scope, mechanisms, five-step overview
ch02-sd-22-dmsms-policy-and-lifecycle.md	Policy and life-cycle guidance
ch03-sd-22-dmsms-prepare.md	DMT, DMP, contracts, FMS communication
ch04-sd-22-dmsms-identify.md	Monitoring, BOM method, FMS identify
ch05-sd-22-dmsms-assess.md	Need, timing, level, health assessment
ch06-sd-22-dmsms-analyze.md	Options, BCA/AoA, security consideration
ch07-sd-22-dmsms-implement.md	Funding, execution, folded appendices
ch08-sd-22-dmsms-obsolescence-relationship.md	Obsolescence versus DMSMS

Topic Index

Prepare / DMT / DMP / FMS communication: ch03
Identify / monitoring / PDN / BOM: ch04
Assess / health assessment / timing: ch05
Analyze / BCA / AoA / security engineering: ch06
Implement / funding / roadmaps / provisioning: ch07
Obsolescence relationship: ch08
Policy / SETR / ILA hooks: ch02
Mechanisms / five-step overview: ch01

Supporting Files

glossary.md - Appendix P abbreviations and Appendix R definitions
cheatsheet.md - quick rules for 06-JAN-2026
patterns.md - When / How / Trade-offs patterns

Scope & Limits

Does NOT teach general systems engineering, parts-management standards, or contracting law in depth, and does not reproduce DoD policy text or the source's tables and figures.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Sd 22 Dmsms AI skill do?

Why use Sd 22 Dmsms on TypingMind?

Because you install it once and use it with any model. Sd 22 Dmsms is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Sd 22 Dmsms in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/sd-22-dmsms. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Sd 22 Dmsms?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Sd 22 Dmsms?

As many as you like. As long as a model supports skills, you can use Sd 22 Dmsms with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Sd 22 Dmsms AI skill free?

It is published on GitHub by jgsystemsconsulting. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

SD-22 DMSMS (06-JAN-2026)

When to use

How to Use This Skill

Core Frameworks & Mental Models

What DMSMS is

The five-step process

FMS in this edition

Chapter Index

Topic Index

Supporting Files

Scope & Limits

Bundled files

Frequently asked questions

Related AI Skills

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