Create Product logo

Create Product

Community
samsantosb
create-product

Turn an idea, a conversation, or loose notes into a product document ready for /create-tasks — no PM required. Runs a sparring interview to fill the gaps, synthesizes the document, and publishes it where the project tracks work.

Overview

Publishersamsantosb
Repositoryship-it
Skill namecreate-product
Stars
80
Forks
5
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by samsantosb on GitHub. Read the source before you install it.

Installation

Install the Create Product AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/samsantosb/ship-it/tree/main/skills/create-product
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/samsantosb/ship-it.git /tmp/ship-it
mkdir -p .claude/skills
cp -r /tmp/ship-it/skills/create-product .claude/skills/create-product
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Create Product in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Create Product on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Create Product is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill: create-product

Entry point of the pipeline. Anyone — founder, dev, designer, PM, whoever — brings raw material and leaves with a product document that /create-tasks can split into technical cards. The pipeline makes no assumption about who writes product scope or where: the document is produced by interview, not by role. Respond in the conversation language (docs/agents/language.md; unset → the user's language).

Load before acting: ${CLAUDE_PLUGIN_ROOT}/shared/workflow-context.md, ${CLAUDE_PLUGIN_ROOT}/shared/sparring.md, and ${CLAUDE_PLUGIN_ROOT}/shared/guardrails.md — this skill writes product docs and may publish tracker items; the loading contract applies.

Accepted input: free text in the argument, a path to a rough doc, "this conversation", or nothing at all (start from zero).

Process

1 — Gather context and resolve roles

Collect the raw material: the argument, the referenced file, or the current conversation. If a repo is connected, read related docs and code before asking anything. List what the material already answers — those questions are skipped.

Resolve the Tracker role now, per ${CLAUDE_PLUGIN_ROOT}/shared/workflow-context.md (batched question if unresolved) — config questions happen before the sparring session starts, never in the middle of it.

2 — Sparring session

Run ${CLAUDE_PLUGIN_ROOT}/shared/sparring.md over the idea. Minimum topic checklist: the problem, who it's for, measurable success criteria, scope in/out, constraints, and the riskiest assumption. Depth is proportional to ambiguity — a well-written draft might need 3 questions; a one-liner might need 20. Stop when the sparring completion criteria hold: you could sketch the solution and a QA could write a test plan without guessing.

3 — Synthesize the document

Fixed template. Section headers are fixed English tokens (stable for /create-tasks to parse); the content inside them is written in the user's language. Product-level only — technical detail (files, tests, stacks) belongs to /create-tasks:

markdown
# <Product / feature name>

## Problem            — what hurts today, for whom, evidence if any
## Who it's for       — the concrete user/persona
## Success criteria   — measurable; how we know it worked
## Scope
### In
### Out               — explicit non-goals
## Acceptance criteria — high-level, verifiable (Gherkin-ish, no implementation detail)
## Constraints & dependencies
## Open questions      — table: question · owner · status
  • Owner in Open questions = the role or person who must decide this before implementation (e.g. "tech lead — stack choice", not "TBD").
  • Never fabricate an answer the user didn't give — unresolved topics go to Open questions, visibly.

4 — Publish

  • Write the document to docs/product/<slug>.md in the project directory (works with or without git; create the folders if missing). One product doc per feature/product — no PRODUCT.md at root; that name is only honored as a legacy input by /create-tasks.
  • Tracker MCP / GitHub Issues mode: additionally offer to publish a product item linking the doc, so the scope is visible where the team tracks work.
  • Never overwrite an existing product doc silently — show what would change and confirm.
  • Fold everything the user must approve — overwrite (if any), tracker publish, and any pending config write-back — into one final confirmation, not a chain of prompts.

5 — Handoff

Return the doc path (and item URL if published) plus the next step: /create-tasks <path-or-url>.

Guardrails (this skill, on top of shared/guardrails.md)

  • Product document ≠ technical card: no file:line, no describe/it, no stack decisions here.
  • Sparring answers are the user's decisions — record them faithfully; disagree during the interview, not in the document.
  • AI-disclosure on anything published to a tracker — rule owned by ${CLAUDE_PLUGIN_ROOT}/shared/guardrails.md.

Frequently asked questions

What does the Create Product AI skill do?

Turn an idea, a conversation, or loose notes into a product document ready for /create-tasks — no PM required. Runs a sparring interview to fill the gaps, synthesizes the document, and publishes it where the project tracks work.

Why use Create Product on TypingMind?

Because you install it once and use it with any model. Create Product is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Create Product in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samsantosb/ship-it/tree/main/skills/create-product. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Create Product?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Create Product?

As many as you like. As long as a model supports skills, you can use Create Product with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Create Product AI skill free?

Yes. It is published on GitHub by samsantosb under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇