AI product managerRising demand

AI feature spec

Immediate result: A spec for an AI feature covering the job, model behaviour, evaluation set, guardrails and fallbacks.

Problem it solvesAI features ship without defined quality, failure handling or evaluation, then embarrass the brand.

Add this skill to

You paste

AI that drafts replies to customer reviews for restaurant owners

You get

Contract: review text + rating → reply ≤ 80 words, in the review's language.

Eval case 7 (adversarial): review with a slur → no reply drafted; flag for owner.

Guardrail: never offer refunds or compensation in a draft.

About this skill

About AI feature spec

AI features that ship without defined quality, failure handling or evaluation end up embarrassing the brand. This skill writes a spec covering the user job, the input and output contract, quality criteria and an evaluation set of ten test cases — good, edge and adversarial. It defines guardrails: what the feature must refuse, privacy limits and where a human reviews. It plans fallbacks, cost limits and the metrics to watch after launch. It's the document AI product managers need before engineering writes the first prompt. To use it, paste the skill into your assistant and send the AI feature idea, who uses it and what a great answer looks like.

AI feature spec AI skill for AI product manager: you paste "AI that drafts replies to customer reviews for restaurant owners" and get "Contract: review text + rating → reply ≤ 80 words, in the review's language."
AI feature spec — example input and the first lines it returns. Works in ChatGPT, Claude and Gemini.
Job profile
Product management · AI product manager
Works in
ChatGPT, Claude, Gemini, Copilot, Claude Code
Format
Agent Skills (SKILL.md)
Price
Free, no sign-up
Install instructions

Copy, paste, send

  1. Cold email writerCopy skillCopied ✓1 Copy the skillPress Copy skill.
  2. ANY AI ASSISTANTSKILLPaste here, then press Enter2 Paste it into a new chatChatGPT, Claude, Gemini or Copilot.
  3. ANY AI ASSISTANT3 Send your inputSend the AI feature idea.
The skill — paste this into your AI assistant
# Skill: AI feature spec

You are running the "AI feature spec" skill for me. I work as: AI product manager. What I need from you: a spec for an AI feature covering the job, model behaviour, evaluation set, guardrails and fallbacks.

## When I send you the AI feature idea, who uses it and what a great answer looks like
1. Define the user job and the input → output contract.
2. Write quality criteria and an evaluation set of 10 test cases (good, edge, adversarial).
3. Define guardrails: what it must refuse, privacy limits and human review points.
4. Plan fallbacks, cost limits and the metrics to watch after launch.

## Reply in this format
- User job
- Input / output contract
- Quality criteria
- Evaluation set (table)
- Guardrails
- Fallbacks
- Launch metrics

## Rules
- Use only the facts I give you; mark anything you had to assume with [ASSUMPTION].
- If something essential is missing, ask me one short question, then continue.
- No preamble or filler: start with the result.

Confirm you're ready in one line, then wait for me to send the AI feature idea, who uses it and what a great answer looks like.

Then sendThe AI feature idea, who uses it and what a great answer looks like. For example: AI that drafts replies to customer reviews for restaurant owners

ChatGPT

  1. Fastest: paste the skill as your first message in a new chat, then send your input.
  2. To keep it: open a Project, choose Instructions (or Settings → Personalization → Custom instructions for every chat) and paste it there.
  3. To share it with a team: create a custom GPT and paste the skill into its Instructions.
  4. In the Codex app: copy the skill's folder into ~/.codex/skills/ (or Customize → Skills → Add → Create skill).

Claude

  1. Fastest: paste the skill as your first message in a new chat, then send your input.
  2. To keep it: create a Project, open Project instructions and paste the skill.
  3. As a Claude Skill: download the skill's ZIP, then in Claude open Settings → Skills → Add → Upload skill and choose the file.

Gemini

  1. Fastest: paste the skill as your first message in a new chat, then send your input.
  2. To keep it: open Gems → New Gem, paste the skill into Instructions and save.

Microsoft Copilot

  1. Fastest: paste the skill as your first message, then send your input.
  2. In Microsoft 365 Copilot, save it as a prompt or paste it into an agent's instructions to reuse it.

Any other assistant

  1. Paste the skill as the system prompt or first message in any chat assistant (Perplexity, Meta AI, DeepSeek, Mistral, local models).
  2. Coding agents that read the Agent Skills format (SKILL.md) can load the downloaded file from their skills folder.

Install it permanently

Upload it to Claude, add it to ChatGPT's Codex app, clone it into Claude Code, or download the SKILL.md for any agent. Full guide with screenshots →

Download the ZIP and upload it in Claude. Claude then uses the skill on its own whenever a request matches.

Download ZIP

Quick setup

  1. In Claude, open Settings → Skills (under Customize).
  2. Click Add → Upload skill.
  3. Choose the ZIP — don't unzip it — and make sure the skill is switched on.
Claude Settings with Skills selected under Customize, and the Add menu open showing Upload skill, Create a skill, Create with Claude and Record your screen

Repositoryscienceofapps.com/skills/ai-skills.git · all 200 skills, one folder each, plain git over HTTPS

What it does

The steps it follows

  1. Define the user job and the input → output contract.
  2. Write quality criteria and an evaluation set of 10 test cases (good, edge, adversarial).
  3. Define guardrails: what it must refuse, privacy limits and human review points.
  4. Plan fallbacks, cost limits and the metrics to watch after launch.
What you get back

The reply format

  • User job
  • Input / output contract
  • Quality criteria
  • Evaluation set (table)
  • Guardrails
  • Fallbacks
  • Launch metrics
FAQs

Questions about AI feature spec

What does the AI feature spec skill do?

AI features ship without defined quality, failure handling or evaluation, then embarrass the brand. The skill fixes that: a spec for an AI feature covering the job, model behaviour, evaluation set, guardrails and fallbacks.

How do I install AI feature spec in ChatGPT, Claude or Gemini?

Copy the skill and paste it as the first message of a new chat, then send your input. To keep it, paste it into a ChatGPT Project or custom GPT, a Claude Project or a Gemini Gem, or upload the SKILL.md file as a Claude Skill.

What do I send AI feature spec after installing it?

Send the AI feature idea, who uses it and what a great answer looks like. If something essential is missing, the skill asks you one short question and then continues.

Is the AI feature spec skill free?

Yes. It's free to copy, use and adapt, with no sign-up, and works in the free versions of ChatGPT, Claude, Gemini and Copilot.

More for product management
Product manager

One-page PRD

ProblemPRDs are either a vague paragraph or a 20-page document nobody reads.

You paste

Notes: users forget to pay rent on time in our rental app; add reminders + autopay?

You get

Problem: 31% of rent payments are late (from notes — verify the source).

Metric: on-time payment rate · guardrail: notification opt-outs

Won't (v1): autopay — needs NPCI e-mandate work; reminders first.

Immediate resultA one-page PRD: problem, goal metric, users, scope, requirements, risks and open questions.

Product owner / PM

User story writer

ProblemUser stories lack acceptance criteria, so engineering and QA interpret them differently.

You paste

Users can reset their password by email

You get

As a user who forgot my password, I want a reset link by email so that I can get back in.

Given a registered email, when I request a reset, then a link valid for 30 minutes is sent.

Edge: unregistered email shows the same message (no account enumeration).

Immediate resultUser stories in INVEST shape with Given/When/Then acceptance criteria and edge cases.

Product manager

RICE prioritizer

ProblemThe backlog is prioritised by whoever shouts loudest.

You paste

1) Saved carts 2) Hindi UI 3) Dark mode — 40k MAU

You get

Saved carts: 8,000 × 2 × 80% ÷ 3 = 4,267

Hindi UI: 12,000 × 2 × 50% ÷ 8 = 1,500 (confidence low — test demand first)

Dark mode: 10,000 × 0.5 × 80% ÷ 2 = 2,000

Immediate resultA ranked backlog with RICE scores, the maths shown and the assumptions to challenge.

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