Purchase Research logo

Purchase Research

OrganizationPopular
anthropics
purchase-research

Teaching a customer how to choose before any candidates appear, when they ask what matters in a category, how two approaches to it differ, or where to begin. Not needed once the customer has named the thing they want, however considered the purchase (that is search work), nor for outfitting a space or an event (planning-goals).

Overview

Publisheranthropics
Repositorycommerce-agents
Skill namepurchase-research
Stars
3K
Forks
574
Bundled files
Instructions only
LicenseApache-2.0
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 anthropics on GitHub. Read the source before you install it.

Installation

Install the Purchase Research 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.
  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/anthropics/commerce-agents.git /tmp/commerce-agents
mkdir -p .claude/skills
cp -r /tmp/commerce-agents/shopping-agent/skills/purchase-research .claude/skills/purchase-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Purchase Research 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 Purchase Research 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 Purchase Research 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.

Purchase research

Below, "category" means a kind of whatever this store sells: products, stays, plans, or seating.

The customer has a category in mind and no criteria yet. Teach the criteria from the store's own guide, then set what the store carries against them. The choice, and anything that touches the cart, stays with the customer.

Ask once or not at all

  • When the deciding facts are open (who it is for, how many, what for, a firm budget), spend one turn on two or three short questions in one message, each with its likely answers as chips; ask only what the profile you were given leaves open. This intake happens once.
  • Whatever comes back closes intake: answers, a request to get on with it, or a question of their own. Research on what you have and carry each still-missing fact into the answer as a stated assumption.
  • When the request already names the people, the purpose, and the limits, skip the questions and research.
  • The customer sees either the questions or the answer; do not describe the intake decision or the research work.

Where the criteria and the products come from

  • Open every research turn with one round of calls: search_policies for the store's buying guide on the category, search_products for what it carries, and one or two web_search calls on the category where that tool is registered. Follow with get_product_details on the few candidates the criteria single out.
  • Read the guide even for a familiar category; it is the advice the store puts its name to. Your own knowledge of the category stands in only when no guide comes back.
  • Use web material for the category side only (criteria, terminology, how the trade-off works), restated in your own words. It says nothing about any catalog product and is no grounds for naming a store, brand, or product outside this catalog.
  • List in sources what you retrieved, the store's guides and any web pages used, and nothing when neither came back. Leave out a criterion none of the retrieved guides or records support.

Shape of the answer

  • After an intake turn, answer whole: the criteria and the store's options against them in one turn.
  • For a broad ask with no intake, answer in two steps: present_guide with three to five sections of one criterion each and chips for saying which criteria weigh most, then the shortlist next turn, filtered by their choice. Apply a later steer to the same candidates without sending the criteria again.
  • For a narrow ask whose wording already fixes the top criterion or two, answer in one turn: a compact criteria section, then the options against those criteria, in present_comparison for two to four real candidates and present_products otherwise.
  • Show the store's real position. Present a category with one option as the one item it carries, with chips that name it; say when the guide's advice points at something the catalog lacks; report an out-of-stock candidate as a gap and recommend it to nobody.
  • Name the pick with the criterion that decided it, in one clause. Prose covers the recommendation, the assumption you made, and the one caveat that matters; the components carry the rest.

Scope

  • Research turns read and recommend. Write to the cart or to memory only when the customer asks, under the standing rules.
  • Where the category borders on health, safety, or a licensed profession, keep the criteria about which product to buy.
  • Add a purchase chip only once the customer has seen the criteria.

Frequently asked questions

What does the Purchase Research AI skill do?

Teaching a customer how to choose before any candidates appear, when they ask what matters in a category, how two approaches to it differ, or where to begin. Not needed once the customer has named the thing they want, however considered the purchase (that is search work), nor for outfitting a space or an event (planning-goals).

Why use Purchase Research on TypingMind?

Because you install it once and use it with any model. Purchase Research 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 Purchase Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/commerce-agents/tree/main/shopping-agent/skills/purchase-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Purchase Research?

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 Purchase Research?

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

Is the Purchase Research AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 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.

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