J
jgsystemsconsulting/jgs-se-knowledge-packs
71 open systems-engineering knowledge packs (+8 signposts) for coding agents: licence-vetted NASA, DoD, UK…
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"jgsystemsconsulting-jgs-se-knowledge-pac": {
"command": "npx",
"args": ["skills"]
}
}
}解析自我们于 2026-10-29 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"jgsystemsconsulting-jgs-se-knowledge-pac": {
"command": "npx",
"args": ["skills"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio jgsystemsconsulting-jgs-se-knowledge-pac -- npx skills
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- ★ 数取值
- 71 ★ · jgsystemsconsulting/jgs-se-knowledge-packs · 取自 GitHub 搜索 API · （2026-11-13 20:00:50 核对）
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型：开源项目
- 收录与活跃
- 收录于 2026-10-29 · 最近见到 2026-11-14 · 共见到 17 次 · 被 1 个来源列出
- 评分构成
- 综合分 103 · 71 ★ · 1 个来源 · repo
- 安装
npx skills
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx skills。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: Agent 技能。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
jgsystemsconsulting/jgs-se-knowledge-packs；我们收录于 2026-10-29；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。jgs-se-knowledge-packs
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Installable knowledge-pack skills for coding agents, reconstructed from genuinely
open systems-engineering bodies of knowledge, vetted, attributed, and shareable by
construction.
Copyright (c) 2026 JG Systems Consulting Ltd. - MIT License (tooling); pack content under each source's own licence (see NOTICE).
## What it is / who it's for
A great body of knowledge (SEBoK, the NASA SE Handbook, a modelling spec) is something you
read once and then can't recall when you need it mid-task. A knowledge pack turns it into a
skill your coding agent loads on demand: ask /sebok systems of systems and the agent reads the
right chapter and answers from reconstructed reference notes, not a hazy recollection.
Don't know which pack to ask? The catalogue ships one orchestrator: /se routes your
systems-engineering question to the right pack or packs, reads them, and answers with pack and
chapter citations. It carries no source content and answers only when explicitly invoked.
This is a curated catalogue of those packs for systems engineers, built to one rule that makes
it different from "point a tool at a PDF":
> Only genuinely open sources go in. Public-domain (NASA, DoD) and open-licensed (SEBoK, OMG
> specs, CC content): never paywalled or all-rights-reserved material. Eligibility is enforced,
> not assumed (see docs/SOURCE-VETTING.md), and every pack is
> redistributable by construction (see docs/LICENSING.md).
Packs follow the open Agent Skills SKILL.md
standard, so they load in Claude Code, GitHub Copilot CLI, and Amp without modification.
The catalogue is also listed in VoltAgent/awesome-agent-skills
(PR #1272), a curated collection
of 1,000+ community agent skills.
## Prerequisites
Python 3.9+ (for the installer and pack validator).
A host that reads Agent Skills (Claude Code, GitHub Copilot CLI, or Amp).
No MCP server, API key, or licence tier is needed at runtime. Packs are plain Markdown.
## Install with your AI agent
Copy the block below into your coding agent (Claude Code, Cursor, etc.). It will read this repo
and install the catalogue for you.
text
You are installing jgs-se-knowledge-packs, an open catalogue (MIT tooling) of
systems-engineering knowledge-pack skills by JG Systems Consulting Ltd.
Repository: https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs (version 1.24.1).
Do this in order:
1. Read README.md, docs/skill-usage.md, and CHANGELOG.md so you understand what you are
installing. There are NO external prerequisites: packs are plain Markdown skills.
2. Run python install.py --dry-run and show me the pack list and target
(~/.claude/skills/jgs-se-knowledge-packs/). If it looks right, run python install.py.
3. Verify: list the installed packs under the target and confirm the count matches SKILLS.md.
4. Tell me to restart Claude Code, then try /sebok systems of systems or ask
/se what are the EARS requirement patterns?.
5. Pack CONTENT is under each source's own licence (see NOTICE); keep attribution intact.
## Install with the skills CLI
The catalogue is listed on skills.sh.
With the Vercel skills CLI you can pull packs without cloning:
bash
npx skills add jgsystemsconsulting/jgs-se-knowledge-packs -l # list available packs
open systems-engineering bodies of knowledge, vetted, attributed, and shareable by
construction.
Copyright (c) 2026 JG Systems Consulting Ltd. - MIT License (tooling); pack content under each source's own licence (see NOTICE).
## What it is / who it's for
A great body of knowledge (SEBoK, the NASA SE Handbook, a modelling spec) is something you
read once and then can't recall when you need it mid-task. A knowledge pack turns it into a
skill your coding agent loads on demand: ask /sebok systems of systems and the agent reads the
right chapter and answers from reconstructed reference notes, not a hazy recollection.
Don't know which pack to ask? The catalogue ships one orchestrator: /se routes your
systems-engineering question to the right pack or packs, reads them, and answers with pack and
chapter citations. It carries no source content and answers only when explicitly invoked.
This is a curated catalogue of those packs for systems engineers, built to one rule that makes
it different from "point a tool at a PDF":
> Only genuinely open sources go in. Public-domain (NASA, DoD) and open-licensed (SEBoK, OMG
> specs, CC content): never paywalled or all-rights-reserved material. Eligibility is enforced,
> not assumed (see docs/SOURCE-VETTING.md), and every pack is
> redistributable by construction (see docs/LICENSING.md).
Packs follow the open Agent Skills SKILL.md
standard, so they load in Claude Code, GitHub Copilot CLI, and Amp without modification.
The catalogue is also listed in VoltAgent/awesome-agent-skills
(PR #1272), a curated collection
of 1,000+ community agent skills.
## Prerequisites
Python 3.9+ (for the installer and pack validator).
A host that reads Agent Skills (Claude Code, GitHub Copilot CLI, or Amp).
No MCP server, API key, or licence tier is needed at runtime. Packs are plain Markdown.
## Install with your AI agent
Copy the block below into your coding agent (Claude Code, Cursor, etc.). It will read this repo
and install the catalogue for you.
text
You are installing jgs-se-knowledge-packs, an open catalogue (MIT tooling) of
systems-engineering knowledge-pack skills by JG Systems Consulting Ltd.
Repository: https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs (version 1.24.1).
Do this in order:
1. Read README.md, docs/skill-usage.md, and CHANGELOG.md so you understand what you are
installing. There are NO external prerequisites: packs are plain Markdown skills.
2. Run python install.py --dry-run and show me the pack list and target
(~/.claude/skills/jgs-se-knowledge-packs/). If it looks right, run python install.py.
3. Verify: list the installed packs under the target and confirm the count matches SKILLS.md.
4. Tell me to restart Claude Code, then try /sebok systems of systems or ask
/se what are the EARS requirement patterns?.
5. Pack CONTENT is under each source's own licence (see NOTICE); keep attribution intact.
## Install with the skills CLI
The catalogue is listed on skills.sh.
With the Vercel skills CLI you can pull packs without cloning:
bash
npx skills add jgsystemsconsulting/jgs-se-knowledge-packs -l # list available packs
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/jgsystemsconsulting-jgs-se-knowledge-packs/)
- 来源
- github · https://github.com/jgsystemsconsulting/jgs-se-knowledge-packs
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所属领域与标签
每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。