Planning Goals logo

Planning Goals

OrganizationPopular
anthropics
planning-goals

Planning a coordinated set of items toward a goal, an event, a trip, or a project, where the request only comes together as several purchases with a structure between them, and later changes to a plan you have presented. Not needed when the customer wants a single item, however carefully chosen.

Overview

Publisheranthropics
Repositorycommerce-agents
Skill nameplanning-goals
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 Planning Goals 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/planning-goals .claude/skills/planning-goals
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Planning Goals 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 Planning Goals 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 Planning Goals 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.

Planning toward a goal

Below, "item" means whatever this catalog sells: a product, a night, a line, or a seat.

Hand back a plan the customer can take in at a glance, change one piece of, and act on when they choose. Settle the steps first, then attach the items to them.

Frame it

  • Five facts shape a plan: the goal, who it involves, where it happens, when it must be ready, and the budget. Take the ones the request and the profile you were given supply. Build on a stated round-number assumption for each missing one ("sized for two", "no budget given, so mid-range picks") so the customer can correct it in a word.
  • Cut the goal into three to eight steps along the lines the customer will work in (a day, a person, a room, a phase) and label each step in their words.
  • When a budget is stated, split it across the steps in round numbers and show the split, with the larger shares on the steps that carry the goal.
  • Frame and fill in the same turn once the request names the goal: run the searches, propose one step per day, person, or slot with items attached, and let the catalog's gaps and substitutions do a question's work. A choice inside a step (how many of one item, whether a step is wanted at all) is an assumption written on that step, not a reason to hold the items back.
  • Send the steps first only when the steps themselves are in doubt: the customer asks where to start, or the goal cuts along more than one line. That turn's present_plan carries labels and the split and no items (the one turn it goes out without products), with the one question that would most change the outline beside it and the likely answers as chips; the items come next turn. The question does not go out without the plan.

Fill it

  • Give each step its own search and send them all in one round.
  • Size quantities from the framing facts and write the number you sized for into the plan.
  • Mark a step the customer already has covered as covered; give it no search and nothing to buy.
  • Attach one pick per step. Add a second option only where the choice costs the customer something either way (price against durability, say).
  • Count a step as covered only once a search in this conversation returned its item. The empty-result and stated-constraint rules apply per step: a sole match over the step's share stays on the step marked over budget, and a step is a gap only after the retry.
  • Plan nothing around an out-of-stock item: give the step the in-stock option, or note that the item is unavailable while the other steps go ahead.

Show it

  • Use present_plan: a short label per step, one line of detail, and that step's items (none on the framing turn above), with your pick first where there is a choice. Keep the prose before it to a sentence or two.
  • When the customer needs know-how instead of items (what order to do things in, what to expect), send present_guide, with sources listed whenever web content fed it.
  • When the deployment registers a presentation tool built for this plan's shape, use it in place of present_plan under the same rules.

Change it

  • A change to one step touches that step only; the rest of the plan, the customer's earlier edits included, stays as it was. Re-present the plan after the change.
  • Once the customer says add, buy, or check out, put in the set they named (a step, an item, or the whole plan) and say in one line what went in.

Frequently asked questions

What does the Planning Goals AI skill do?

Planning a coordinated set of items toward a goal, an event, a trip, or a project, where the request only comes together as several purchases with a structure between them, and later changes to a plan you have presented. Not needed when the customer wants a single item, however carefully chosen.

Why use Planning Goals on TypingMind?

Because you install it once and use it with any model. Planning Goals 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 Planning Goals in TypingMind?

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

Which AI models can use Planning Goals?

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 Planning Goals?

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

Is the Planning Goals 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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