LazyCat AI Pod Developer Agent Skill

Guides the development, Docker Compose configuration, Traefik routing, and packaging of AI applications for the LazyCat MicroServer AI Pod.

Context cost
2.1k tokensestimated from the bundle, loaded when it triggers
Bundle
2 files · 8.6 kBtext throughout, nothing executable
Licence
not declarednone named by its author
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

懒猫 AI 算力舱应用开发与打包:AIApp resource、AGX Orin/Thor 型号 compose、Traefik AI host、浏览器插件、启动 gate、数据路径及旧包迁移。

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

devopsdocker
Filed under

Cloud & DevOps

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md1.9 kB · preview
--- name: lazycat-aipod-developer ---
6# AI Pod 应用:资源与设备兼容
7
8## 先校准两个来源
9
10写/改配置或 build/deploy/release 前,读取并执行 references/spec-sync.md,确认微服、CLI、算力舱/消费端版本。**还必须读取 AI Pod 独立官方专题**:
11
12- <https://developer.lazycat.cloud/aipod/package/spec.html>
13- 必要时按章节检索 <https://developer.lazycat.cloud/aipod/llms-full.txt>,不要一次加载整站。
14
15通用 LPK 源仓库不覆盖所有 AI Pod 能力。当前专题的资源导入位置/投影路径与通用 V2 规范存在差异,先按 references/aipod-app-spec.md 识别边界;不能猜测转换后声称可部署。
16
17## 行动流程
18
191. 读取 references/aipod-app-spec.md,根据用户设备选择 agxorin/thor compose,不假定所有设备只是一种 Jetson。
202. 新配置使用 resource 中 config/aipod.yml(无外层 aipod)、型号目录、extensions 与平台 startup gate;旧 ai-pod-service/browser-extensions 仅作为兼容 fallback。
213. 核实各设备镜像架构/GPU软件栈,AI host 必须一致且以 -ai 结尾,加入 traefik-shared-network;长初始化服务配真实就绪探针。
224. 数据用 LZC_AGENT_DATA_DIR,缓存用 LZC_AGENT_CACHE_DIR,Traefik 标识用 LZC_SERVICE_ID;平台默认 NVIDIA runtime,无需机械添加 gpus/runtime。
235. 若专题与通用 schema 不一致,核实目标工具链与资源消费端后再生成完整包;只做构建/静态校验时,不宣称真实部署、模型推理或所有型号兼容。
24
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md87 words
Files2
Licencenot declared
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈40
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
2,110
on trigger
The instruction body and 1 supporting file, read only when the skill fires.
1.1%
of a 200k window
Ten skills this size would take about 11% of the window before you open a file.
050k100k150k200k context window

2.1k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Middling. Fine to keep on in a project where you use it weekly, worth unloading in one where you never do.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

2 files, 8.6 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md1.9 kB
  • references/aipod-app-spec.md6.7 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 2 files you can review in full before installing.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# LazyCat AI Pod Developer · 2.1k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/lazycat-ai-pod-developer/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/lazycat-ai-pod-developer" ] && { [ ! -e .claude/skills/lazycat-ai-pod-developer ] || { mv .claude/skills/lazycat-ai-pod-developer "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/lazycat-ai-pod-developer" .claude/skills/ && echo "Installed .claude/skills/lazycat-ai-pod-developer"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add whoamihappyhacking/lazycat-ai-pod-developer

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/lazycat-ai-pod-developer/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/lazycat-ai-pod-developer/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/lazycat-ai-pod-developer" ] && { [ ! -e ~/.claude/skills/lazycat-ai-pod-developer ] || { mv ~/.claude/skills/lazycat-ai-pod-developer "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/lazycat-ai-pod-developer" ~/.claude/skills/ && echo "Installed ~/.claude/skills/lazycat-ai-pod-developer" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/lazycat-ai-pod-developer/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. It appears as lazycat-aipod-developer in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, lazycat-ai-pod-developer.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencewhoamihappyhacking/lazycat-ai-pod-developer

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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