GEO Question Research Agent Skill

Generates, deduplicates, and validates structured GEO question sets for brand and competitor optimization using verified evidence.

Context cost
925 tokensestimated from the bundle, loaded when it triggers
Bundle
4 files · 6.3 kB1 script among them — read before you run
Licence
Apache-2.0the author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

基于本地 Brand Wiki 与证据注册表生成、去重、评审并冻结可复测的中国 GEO 问题集。用户要求问题生产、问题库、品牌或竞品问题、基线或复测问题设计时使用。

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.

marketingresearch
Filed under

Sales & CRM

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.md2.5 kB · preview
--- name: research-geo-questions ---
6# GEO 问题研究
7
8问题推理由当前 Codex 会话完成,不调用插件内嵌模型或 Cloud 对话模型。确定性脚本只校验结构、分布与重复。Cloud 只冻结问题版本,必须先准备、再由用户确认。
9
10## 工作流
11
121. 调用 get_workspace_context,读取 品牌知识库/索引.md、实体页与 品牌知识库/证据/登记册.json。知识库缺失时先使用 manage-brand-wiki。
132. 一批问题只服务一个业务关键词。记录目标受众、使用场景、竞品边界、地区、平台和复测目的。
143. 按证据优先级约束事实:A 官方公开资料,C 用户授权的一手材料,B 可复核的公开行为观察。无法证明的事实不进入问题前提。
154. 从官方术语、口语表达、服务机制、典型场景、常见误解、核心痛点和平台习惯七个维度展开候选问题。
165. 生成结构化问题,每题包含稳定 id、text、intent、persona、questionType、brandMention、evidenceTier。目标结构为决策 45%、开放 30%、推荐 10%、负面 10%、比较 5%;允许小样本取整。
176. 品牌提及规则必须显式:品牌诊断题 required,自然发现题 excluded,只有确有必要时使用 natural。不得把同义改写伪装成覆盖面。
187. 写入 问题库/草稿/<slug>.json,运行 scripts/validate-questions.mjs。同时生成 Markdown 评审稿、纯问题清单、证据映射和生成说明。
198. 向用户展示数量、五类分布、品牌提及分布、代表性问题、证据缺口和冻结含义。
209. 调用 prepare_question_set。只有用户看到摘要并明确批准后才调用 commit_question_set。以 receiptId 和 questionSetId 作为冻结证据。
21
22## 真实性与安全
23
24- Codex 生成的问题是草稿,不是平台真实查询或用户需求统计。
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md93 words
Files4
LicenceApache-2.0
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.

≈30
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
895
on trigger
The instruction body and 3 supporting files, read only when the skill fires.
0.46%
of a 200k window
Ten skills this size would take about 5% of the window before you open a file.
050k100k150k200k context window

925 tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Small enough to keep loaded permanently without thinking about it.

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

4 files, 6.3 kB on disk. Mostly text — the instructions the model reads — with 1 script in it that your client would run only if the instructions tell it to.

  • SKILL.md2.5 kB
  • agents/openai.yaml0.3 kB
  • references/tool-contract.md0.9 kB
  • scripts/validate-questions.mjs2.6 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 1 script beside the text, so the bundle is 4 files you can review in full before installing. The Apache-2.0 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.

# GEO Question Research · 925 tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/geo-question-research/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/geo-question-research" ] && { [ ! -e .claude/skills/geo-question-research ] || { mv .claude/skills/geo-question-research "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/geo-question-research" .claude/skills/ && echo "Installed .claude/skills/geo-question-research"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add stella-dust/geo-question-research

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

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
Referencestella-dust/geo-question-research

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.

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