Skill Purpose

Route Data Analytics plugin-level requests and broad analytics work to the right focused workflow.

Context cost
12.7k tokensestimated from the bundle, loaded when it triggers
Bundle
2 files · 50.6 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

Route Data Analytics plugin-level requests and broad analytics work to the right focused workflow. Use when Data Analytics is at-mentioned, or for analytics requests involving data, metrics, dashboards, reports, charts, notebooks, spreadsheets, KPIs, market sizing, or semantic layers.

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.

analyticsdata 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.md50.4 kB · preview
--- name: index ---
6## ChatGPT web Chat mode stop gate (read first)
7
8When positive system or developer signals identify both surface = chatgpt_web and mode = chat, stop before applying any other guidance in this skill. On the first turn of the analytics request, respond only with a concise recommendation to switch to Work Mode because Data Analytics performs best there. Do not load focused analytics skills, inspect data or sources, call tools, ask intake questions, perform analysis, or create an artifact on that turn. Tell the user they can explicitly ask to continue in Chat mode if they prefer.
9
10Proceed in Chat mode only after the recommendation has been shown and the user explicitly says to continue, proceed, or stay in Chat mode. Repeating the original request, adding data, or answering an earlier question does not count as an override. Once the user explicitly overrides the recommendation, resume the original analytics request without making them restate it. Follow the Work Mode branch below for intake and persistence, but keep mode = chat for delivery: use focused-skill non-Work-Mode routing, default durable reports and dashboards to portable HTML, and do not automatically publish to Sites. Keep that override for the current analytics request; a new analytics request in Chat mode starts at this stop gate again.
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12## Eligibility gate (read before routing)
13Use this plugin only when resolving the request requires structured records, numeric measures, quantitative evidence, a dashboard/metric definition, or a business/product decision grounded in such evidence. Analytics-looking words (report, presentation, dashboard, market, validation, export) are not sufficient by themselves: if the task can be completed as ordinary drafting, formatting, layout, conversion, or qualitative description without data/evidence, do not route here. Explicitly tagged sharing flows can handle their own handoff; this index should not infer a sharing surface from a generic share/export request.
14
15Treat underspecified requests as eligible when they clearly depend on interpreting data, metrics, dashboards, or quantitative business evidence, even if the exact metric or deliverable is not named yet. Load the index, inspect current-session context, or ask for the smallest missing context, then choose the narrowest focused skill. Do not require a named metric upfront; do reject purely mechanical transformations, formatting, code fixes, syntax snippets, or generic explanations that do not require interpreting evidence.
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17When eligible, choose the most specific analytical skill; when uncertain, ask one clarification rather than opening a generic report/export skill.
18
19## Launch/segment decision cue
20Eligible product-analytics requests can ask for a product launch, rollout, prioritization, segmentation, experiment readout, A/B test interpretation, or ship/hold/iterate tradeoff recommendation under stated or to-be-collected assumptions/constraints. Treat those as analytics workflows when they cite metrics, confidence/uncertainty, guardrails, segments, or structured evidence, even when the first step is context collection; pair context with product-business-analysis and include build-report whenever product-business-analysis is selected unless the user explicitly waives report creation or selects another primary artifact.
21
22## Metric definition/source-of-truth disputes
23When teams disagree about which metric definition, dashboard, extract, owner, or source of truth should control a decision or executive reply (for example revenue/ARR, activation, retention, funnel, or regional totals), route as analytics even if the immediate output is a short Slack/email recommendation. Prefer analyze-data-quality for comparability/backfill/grain/source conflicts and design-kpis for canonical definition/guardrail ownership; use both when the request asks which definition should govern.
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This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md7,130 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.

≈80
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
12,570
on trigger
The instruction body and 1 supporting file, read only when the skill fires.
6.3%
of a 200k window
Ten skills this size would take about 63% of the window before you open a file.
050k100k150k200k context window

12.7k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

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

  • SKILL.md50.4 kB
  • agents/openai.yaml0.2 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.

# Skill Purpose · 12.7k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/skill-purpose/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/skill-purpose" ] && { [ ! -e .claude/skills/skill-purpose ] || { mv .claude/skills/skill-purpose "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/skill-purpose" .claude/skills/ && echo "Installed .claude/skills/skill-purpose"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add ahang1598/skill-purpose

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

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
Referenceahang1598/skill-purpose

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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