Nasa Se Handbook

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jgsystemsconsulting

nasa-se-handbook

Knowledge base from the NASA Systems Engineering Handbook (NASA/SP-2016-6105 Rev 2). Use for NASA's systems-engineering process model — the SE Engine and 17 common technical processes, the program/project life cycle (Pre-Phase A through F), Key Decision Points and technical reviews (MCR/SRR/PDR/CDR/…), stakeholder expectations, technical requirements, design solution, product verification and validation, and crosscutting technical management (planning, risk, configuration, interfaces, data, assessment, decision analysis). Strong for aerospace/spaceflight project SE and lifecycle gating; NASA-specific terminology (KDPs, NPR 7123.1).

Overview

Publisher	jgsystemsconsulting
Repository	`jgs-se-knowledge-packs`
Skill name	`nasa-se-handbook`
Stars	121
Forks	1
Bundled files	38
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.
38 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 Nasa Se Handbook 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/nasa-se-handbook
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/nasa-se-handbook

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/nasa-se-handbook .claude/skills/nasa-se-handbook

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

Use it in TypingMind

Enable Nasa Se Handbook 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 Nasa Se Handbook 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 Nasa Se Handbook 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.

NASA Systems Engineering Handbook

Source: NASA (US Government work, public domain) | Document: NASA/SP-2016-6105 Rev 2 | Pages: ~383 | Chapters: 34

When to use

Use this pack when you need NASA's systems-engineering process model: the SE Engine and the 17 common technical processes, the program/project life cycle (Pre-Phase A → F), Key Decision Points and technical reviews (MCR, SRR, SDR, PDR, CDR, SAR, ORR, FRR), stakeholder expectations → technical requirements → logical decomposition → design solution, product verification vs validation, and crosscutting technical management (planning, risk, configuration, interfaces, data, assessment, decision analysis). Strong for aerospace/spaceflight project SE and lifecycle gating. Less suited to general MBSE notation or AI integration.

Prerequisites: none — this pack is plain Markdown; no MCP server, API key, or licence tier is needed at runtime.

How to Use This Skill

Without arguments — load the core process model below for reference.
With a topic — ask about verification vs validation, PDR, trade studies, configuration management, or another indexed topic; I read the relevant chapter.
With a chapter — ask for ch20 to load Design Solution Definition.
Browse — ask "what chapters do you have?" for the full index.

Supporting files: glossary.md (108 terms), patterns.md (21 techniques), cheatsheet.md (decision rules, phase/KDP/review gates, cost thresholds).

Core Frameworks & Mental Models

The SE Engine (Ch 1–3). NASA's central model: the 17 common technical processes arranged as three families — system design (4 processes: stakeholder expectations, technical requirements, logical decomposition, design solution), product realization (5: implementation, integration, verification, validation, transition), and technical management (8: planning, requirements management, interface management, risk, configuration, data, assessment, decision analysis). The engine is applied recursively down the product hierarchy and iteratively within each life-cycle phase.

Program/project life cycle (Ch 7–16). Phases Pre-Phase A (concept studies) → A (concept & technology development) → B (preliminary design) → C (final design & fabrication) → D (assembly, integration, test, launch) → E (operations) → F (closeout). Phase transitions are gated at Key Decision Points (KDPs) and supported by technical reviews (MCR, SRR, SDR/MDR, PDR, CDR, SIR, TRR, SAR, ORR, FRR).

System design flow (Ch 17–20). Stakeholder Expectations (captured as Needs-Goals-Objectives, ConOps, and Measures of Effectiveness) → Technical Requirements (validated, verifiable, with MOPs/TPMs) → Logical Decomposition (functional architecture, Product Breakdown Structure) → Design Solution (trade studies + decision analysis selecting the baseline).

Product realization (Ch 21–25). Implementation (make/buy/reuse) → Integration → Verification ("built it right" — test, analysis, inspection, demonstration) → Validation ("built the right thing" — against stakeholder expectations) → Transition. Verification and validation are distinct and both required.

Crosscutting technical management (Ch 26–34). Technical Planning (WBS, SEMP), Requirements Management (traceability, change control), Interface Management, Technical Risk Management (continuous, risk-informed decision making), Configuration Management, Technical Data Management, Technical Assessment (TPMs, EVM, reviews), and Decision Analysis (structured trade studies).

Chapter Index

#	Section	Key content
ch01	2.0 Fundamentals of SE	The SE Engine; design processes
ch02	2.1 Common Technical Processes & SE Engine	The 17 processes; process families
ch03	2.3 Example of Using the SE Engine	SE Engine; Product Breakdown Structure
ch04	2.5 Cost-Effectiveness Considerations	Design trade studies; cost-effectiveness
ch05	2.6 Human Systems Integration (HSI)	HSI Plan
ch06	2.7 SE Competency Model	NASA SE Competency Model
ch07	3.0 Program/Project Life Cycle	Life-cycle model; Key Decision Points
ch08	3.1 Program Formulation	Program coupling taxonomy
ch09	3.2 Program Implementation	Program technical activities; reviews
ch10	3.3 Pre-Phase A: Concept Studies	ConOps; Analysis of Alternatives
ch11	3.4 Phase A: Concept & Tech Development	SEMP; mission architecture
ch12	3.5 Phase B: Preliminary Design	Phase B baseline; the PDR
ch13	3.6 Phase C: Final Design & Fabrication	Detailed design package; CDR
ch14	3.7 Phase D: AI&T, Launch	Assembly/integration/V&V; FRR/MRR
ch15	3.8 Phase E: Operations & Sustainment	Mission operations; sustainment
ch16	3.9 Phase F: Closeout	Compliance matrix; NPR 7123.1 tailoring
ch17	4.1 Stakeholder Expectations	NGOs; ConOps; MOEs
ch18	4.2 Technical Requirements	Requirements definition & validation
ch19	4.3 Logical Decomposition	Functional architecture; PBS
ch20	4.4 Design Solution	Trade study; decision analysis
ch21	5.1 Product Implementation	Make/buy/reuse; Material Review Board
ch22	5.2 Product Integration	Integration strategy
ch23	5.3 Product Verification	Verification process & methods
ch24	5.4 Product Validation	Validation process
ch25	5.5 Product Transition	Transition process
ch26	6.0 Crosscutting Technical Management	The 8 management processes
ch27	6.1 Technical Planning	WBS; SEMP
ch28	6.2 Requirements Management	Traceability; change control
ch29	6.3 Interface Management	Interface specs; change control
ch30	6.4 Technical Risk Management	RIDM; Continuous Risk Management
ch31	6.5 Configuration Management	CM process
ch32	6.6 Technical Data Management	Data management process
ch33	6.7 Technical Assessment	Technical reviews; Earned Value Management
ch34	6.8 Decision Analysis	Decision analysis / trade studies

Topic Index

SE Engine / 17 processes → ch01, ch02, ch03
Life cycle phases (Pre-A–F) → ch07, ch10–ch16
Key Decision Points / technical reviews (PDR, CDR, …) → ch07, ch33, ch12, ch13
Stakeholder expectations / ConOps / NGOs / MOEs → ch17, ch10
Technical requirements / MOPs / TPMs → ch18, ch33
Logical decomposition / functional architecture / PBS → ch19, ch03
Design solution / trade studies / decision analysis → ch20, ch34, ch04
Verification vs validation → ch23, ch24
Integration / transition → ch22, ch25
Risk management (RIDM, CRM) → ch30
Configuration management → ch31
Interface management → ch29
Requirements management / traceability → ch28
Technical planning / WBS / SEMP → ch27, ch11
Earned Value Management / technical assessment → ch33
Human Systems Integration → ch05
Competency model → ch06

Supporting Files

glossary.md — 108 NASA SE terms with chapter refs
patterns.md — 21 techniques (SE Engine application, trade studies, V&V methods, risk, CM, reviews)
cheatsheet.md — decision rules, phase/KDP/review-gate table, cost-of-late-fix thresholds, tells & smells

Scope & Limits

This pack covers NASA/SP-2016-6105 Rev 2 only. It is NASA-specific: the process model, Key Decision Points, technical reviews, and tailoring are framed for NASA programs/projects (and reference NPR 7123.1), with an aerospace/spaceflight emphasis. It is strong for lifecycle process, gating, V&V, and technical management; it is not a modelling-notation reference (use the SysML pack) and does not address AI/ML integration. The source is a US Government work in the public domain.

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 Nasa Se Handbook AI skill do?

Why use Nasa Se Handbook on TypingMind?

Because you install it once and use it with any model. Nasa Se Handbook 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 Nasa Se Handbook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs/tree/main/packs/nasa-se-handbook. 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 Nasa Se Handbook?

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 Nasa Se Handbook?

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

Is the Nasa Se Handbook 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

NASA Systems Engineering Handbook

When to use

How to Use This Skill

Core Frameworks & Mental Models

Chapter Index

Topic Index

Supporting Files

Scope & Limits

Bundled files

Frequently asked questions

Related AI Skills

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