AI Agent Stack Selector Agent Skill

Evaluates project requirements to recommend the optimal AI agent architecture layer, orchestration frameworks, and implementation tools.

Context cost
2.1k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 8.4 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Use when the stack for an AI/LLM/agent/automation task is NOT yet decided and you need to pick the abstraction layer and recommend concrete tools (SDK / orchestration framework / visualization platform / off-the-shelf harness) that fit a specific project. Triggers include "该用什么框架/选型", "用 LangChain 还是 LangGraph", "要不要多智能体", "要不要用 Dify / 成品 agent", "这个需求怎么落地/用什么做". NOT for: a stack already chosen (that's implementation), pure model choice, or general coding/debugging questions.

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.

agentdata science

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.md8.4 kB · preview
--- name: choosing-agent-stack ---
6# Choosing the Agent Stack(选层 + 荐工具 + 判断依据)
7
8## Overview
9这个 skill 只做一件事:**给一个具体需求,定"用哪一层" + 荐"具体哪个 SDK/编排框架/可视化工具/成品壳" + 说清"为什么这套适配这个项目"。** 不负责怎么把它建好(那是别的 skill)。
10
11核心原则:**从"能满足需求的最高层"起步——能用成品就别自己拼,越往上越省事;只有需求塞不进上层的"预定形状",或它是核心竞争力/需要底层控制,才下沉自建。**
12
13**产品迭代快**:下面的产品清单是"截至 2026"的锚点,不是真理。**推荐具体产品前,先用 WebSearch 核实它当前是否还在维护、有没有更好的替代**——耐用的是决策逻辑,易变的是产品名。
14
15## Step 1 · 先问这 5 个(这就是"适配此项目的判断依据")
16拿到需求,先答这 5 问;答案缺了就问用户。**这 5 个轴决定选型,也是给用户的判断依据来源:**
17
181. **需求形状**:一次性 / 纯直线(RAG·抽取) / 有回头(循环·状态·多角色)?
192. **是否核心竞争力 / 有底层控制要求**(沙箱·自研记忆·合规·数据主权)?
203. **谁维护 / 谁用**:开发者 / 非技术同事?
214. **规模与成本**:一次性 vs 高频、延迟/并发要求、token 成本敏感度?
225. **要不要运维**:愿意自建基础设施 vs 想托管零运维?
23
24> 覆盖规则(先筛,能推翻一切):**② 是核心竞争力/要底层控制 → 强制自建;③ 给非技术+需求标准 → 往上层走;⑤ 不想运维 → 任意层 + 托管。**
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md593 words
Files1
LicenceMIT
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.

≈130
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
1,970
on trigger
The instruction body, 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

1 file, 8.4 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md8.4 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

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

# AI Agent Stack Selector · 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/ai-agent-stack-selector/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ai-agent-stack-selector" ] && { [ ! -e .claude/skills/ai-agent-stack-selector ] || { mv .claude/skills/ai-agent-stack-selector "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ai-agent-stack-selector" .claude/skills/ && echo "Installed .claude/skills/ai-agent-stack-selector"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add mingchengdeng32-wq/ai-agent-stack-selector

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/ai-agent-stack-selector/ 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/ai-agent-stack-selector/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ai-agent-stack-selector" ] && { [ ! -e ~/.claude/skills/ai-agent-stack-selector ] || { mv ~/.claude/skills/ai-agent-stack-selector "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ai-agent-stack-selector" ~/.claude/skills/ && echo "Installed ~/.claude/skills/ai-agent-stack-selector" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/ai-agent-stack-selector/ 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 choosing-agent-stack in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, ai-agent-stack-selector.

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
Referencemingchengdeng32-wq/ai-agent-stack-selector

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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