AI Shaped Readiness Advisor Agent Skill

Assess whether your product work is AI-first or AI-shaped.

Context cost
10.9k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 43.5 kBtext throughout, nothing executable
Licence
Source-availablethe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Assess whether your product work is AI-first or AI-shaped. Use when evaluating AI maturity and choosing the next team capability to build.

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.

productivity

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.md43.5 kB · preview
--- name: ai-shaped-readiness-advisor argument-hint: "[team or workflow context]" intent: >- Assess whether your product work is **"AI-first"** (using AI to automate existing tasks faster) or **"AI-shaped"** (fundamentally redesigning how product teams operate around AI capabilities). Use this to evaluate your readiness across **5 essential PM competencies for 2026**, identify gaps, and get concrete recommendations on which capability to build first. type: interactive theme: ai-agents best_for: - "Assessing whether your team is AI-first or genuinely AI-shaped" - "Identifying which of the 5 AI competencies to build next" - "Understanding your product org's AI maturity honestly" scenarios: - "My team uses AI tools but I'm not sure if we're working differently or just automating the same tasks" - "I want to assess my product org's AI maturity and prioritize where to invest next quarter" estimated_time: "15-20 min" ---
19## Purpose
20
21Assess whether your product work is **"AI-first"** (using AI to automate existing tasks faster) or **"AI-shaped"** (fundamentally redesigning how product teams operate around AI capabilities). Use this to evaluate your readiness across **5 essential PM competencies for 2026**, identify gaps, and get concrete recommendations on which capability to build first.
22
23**Key Distinction:** AI-first is cute (using Copilot to write PRDs faster). AI-shaped is survival (building a durable "reality layer" that both humans and AI trust, orchestrating AI workflows, compressing learning cycles).
24
25This is not about AI tools—it's about **organizational redesign around AI as co-intelligence**. The interactive skill guides you through a maturity assessment, then recommends your next move.
26
27## Input
28
29**Works best with:** A description of how your team currently uses AI in its product work — even 'barely' is a valid answer.
30**Also useful:** Team size, product domain, and which of the 5 competencies you suspect is weakest.
31
32Anything supplied with the invocation itself — text after the skill name, a pasted context dump, or an appended ARGUMENTS: line — counts as answers already given. Use it and skip whatever it covers; don't re-ask.
33
34**Arriving empty-handed? That works too.** The advisor opens by asking how AI currently shows up in your team's day-to-day product work.
35
36**Example invocation:** Assess my team: 6 PMs, we use ChatGPT for PRD drafts and meeting summaries but nothing in our discovery or delivery process has changed.
37
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md6,038 words
Files1
LicenceSource-available
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.

≈270
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
10,605
on trigger
The instruction body, read only when the skill fires.
5.4%
of a 200k window
Ten skills this size would take about 54% of the window before you open a file.
050k100k150k200k context window

10.9k 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

1 file, 43.5 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md43.5 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 Source-available 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 Shaped Readiness Advisor · 10.9k 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-shaped-readiness-advisor/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ai-shaped-readiness-advisor" ] && { [ ! -e .claude/skills/ai-shaped-readiness-advisor ] || { mv .claude/skills/ai-shaped-readiness-advisor "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ai-shaped-readiness-advisor" .claude/skills/ && echo "Installed .claude/skills/ai-shaped-readiness-advisor"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add deanpeters/ai-shaped-readiness-advisor

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-shaped-readiness-advisor/ 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-shaped-readiness-advisor/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ai-shaped-readiness-advisor" ] && { [ ! -e ~/.claude/skills/ai-shaped-readiness-advisor ] || { mv ~/.claude/skills/ai-shaped-readiness-advisor "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ai-shaped-readiness-advisor" ~/.claude/skills/ && echo "Installed ~/.claude/skills/ai-shaped-readiness-advisor" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/ai-shaped-readiness-advisor/ 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.

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
Referencedeanpeters/ai-shaped-readiness-advisor

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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