Package Usage

Organization

pulumi

package-usage

Track which stacks across a Pulumi organization use a specific package and at what versions. Use for cross-stack audits, identifying outdated or unmaintained package versions across many stacks, finding affected stacks before publishing breaking changes to a component package, or planning coordinated upgrade rollouts. Do NOT use for upgrading a cloud provider package (pulumi-aws, pulumi-azure-native, pulumi-gcp, pulumi-kubernetes, etc.) in a single project — use skill `provider-upgrade` instead. Do NOT use for general infrastructure creation, resource provisioning, or how-to questions about a package.

Overview

Publisher	pulumi
Repository	`agent-skills`
Skill name	`package-usage`
Stars	78
Forks	8
Bundled files	2
License	Apache-2.0
Links	Skill source Repository

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by pulumi on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/pulumi/agent-skills/tree/main/pulumi/skills/package-usage
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.

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/pulumi/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/pulumi/skills/package-usage .claude/skills/package-usage

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Package Usage 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 Package Usage 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 Package Usage 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.

API Reference

Query the Pulumi Cloud API with the pulumi api CLI subcommand. It authenticates with your existing Pulumi credentials and returns JSON.

Get the latest version of a package


pulumi api /api/registry/packages -F name={package_name} -F orgLogin={orgName}

Include orgLogin with the user's organization name. Omit -F name=... to list all packages visible to the organization (useful when the user has not named a specific package). The response contains a packages array. Each entry has a version field (the latest version), plus name, publisher, source, and packageStatus.

Get stack usage for a package


pulumi api /api/orgs/{orgName}/packages/usage -F packageName={package_name}

Replace {orgName} with the org name from context, PULUMI_ORG, or ask the user. packageName is required; query one package at a time.

Response fields:

packageName: The queried package
stacks: Array of {stackName, projectName, version, lastUpdate}
totalStacks: Total count

Workflow: Find outdated stacks

Use when the user wants to know which stacks are using an outdated version of a package.

Get the latest version of the package
Get stack usage for the package
Compare each stack's version against the latest to identify outdated stacks
Present results using the output format below

Output Format

Present results as a markdown table followed by a summary line:


| Project | Stack | Current Version | Latest Version | Status |
|---------|-------|-----------------|----------------|--------|
| my-app  | dev   | 6.40.0          | 6.52.0         | Outdated |
| my-app  | prod  | 6.52.0          | 6.52.0         | Up-to-date |

2 of 2 stacks checked. 1 outdated.

Out of scope: upgrading a specific stack

This skill identifies outdated stacks. It does not perform the upgrade itself. For actually bumping a package version in a project — editing package.json, requirements.txt, pyproject.toml, go.mod, or Pulumi.yaml, running pulumi preview, and reconciling the diff — hand off to the provider-upgrade skill.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
use_cases.yaml1 KB

Frequently asked questions

What does the Package Usage AI skill do?

Why use Package Usage on TypingMind?

Because you install it once and use it with any model. Package Usage 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 Package Usage in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pulumi/agent-skills/tree/main/pulumi/skills/package-usage. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Package Usage?

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 Package Usage?

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

Is the Package Usage AI skill free?

Yes. It is published on GitHub by pulumi 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

API Reference

Get the latest version of a package

Get stack usage for a package

Workflow: Find outdated stacks

Output Format

Out of scope: upgrading a specific stack

Bundled files

Frequently asked questions

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