Pnpm

CommunityPopular

antfu

pnpm

Node.js package manager with strict dependency resolution. Use when running pnpm specific commands, configuring workspaces via pnpm-workspace.yaml, or managing dependencies with catalogs, patches, overrides, config dependencies, or the global virtual store.

Overview

Publisher	antfu
Repository	`skills`
Skill name	`pnpm`
Stars	5.9K
Forks	333
Bundled files	17
License	MIT
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.
17 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by antfu on GitHub. Read the source before you install it.

Installation

Install the Pnpm 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.
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/antfu/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/pnpm .claude/skills/pnpm

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

Use it in TypingMind

Enable Pnpm 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 Pnpm 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 Pnpm 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.

pnpm is a fast, disk space efficient package manager. It uses a content-addressable store to deduplicate packages across all projects on a machine, and enforces strict dependency resolution by default, preventing phantom dependencies.

Configuration model (important): pnpm settings now live in pnpm-workspace.yaml (and the global config.yaml) using camelCase keys. .npmrc is used only for authentication/registry credentials, and the pnpm field of package.json is no longer read. When working in a pnpm project, check pnpm-workspace.yaml for settings/workspace structure and .npmrc only for auth. Always use --frozen-lockfile (or pnpm ci) in CI.

The skill is based on pnpm 10.x, generated at 2026-06-22. It also covers v11 behavior changes (config split, isolated global packages, allowBuilds, pmOnFail, global virtual store) where current docs describe them.

Core

Topic	Description	Reference
CLI Commands	install/add/remove/update, run, dlx/pnx, workspace, runtime, publishing (version, view, sbom, stage)	core-cli
Configuration	pnpm-workspace.yaml settings (camelCase), global config.yaml, packageConfigs, .npmrc auth	core-config
Workspaces	Monorepo support: filtering, workspace protocol, shared lockfile, packageConfigs	core-workspaces
Store	Content-addressable store, virtual store, node linker modes, frozen/read-only store	core-store

Features

Topic	Description	Reference
Catalogs	Centralized dependency versions; catalogMode, catalog: in overrides	features-catalogs
Overrides	Force versions (incl. transitive & peer deps); packageExtensions	features-overrides
Patches	Modify third-party packages; patchedDependencies in pnpm-workspace.yaml	features-patches
Aliases	Install under custom names (npm:) and registry aliases (namedRegistries)	features-aliases
Hooks	.pnpmfile.mjs hooks (readPackage, updateConfig, beforePacking), finders, resolvers/fetchers	features-hooks
Peer Dependencies	Auto-install, strict mode, rules, dedupePeers, peers check	features-peer-deps
Config Dependencies	Share hooks/settings/catalogs/patches across repos via configDependencies	features-config-dependencies
Global Virtual Store	Shared node_modules, git-worktree multi-agent setups, isolated global packages	features-global-virtual-store
Supply-Chain Security	Build approval (allowBuilds), minimumReleaseAge, trustPolicy, lockfile integrity	features-supply-chain-security

Best Practices

Topic	Description	Reference
CI/CD Setup	GitHub Actions, GitLab, Docker, pnpm ci, store caching, frozen lockfiles	best-practices-ci
Migration	npm/Yarn → pnpm, phantom deps, and pnpm v10 → v11 config migration	best-practices-migration
Performance	Install optimizations, allowBuilds, global virtual store, workspace parallelization	best-practices-performance

Bundled files

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

Frequently asked questions

What does the Pnpm AI skill do?

Why use Pnpm on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/antfu/skills/tree/main/skills/pnpm. 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 Pnpm?

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 Pnpm?

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

Is the Pnpm AI skill free?

Yes. It is published on GitHub by antfu 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Core

Features

Best Practices

Bundled files

Frequently asked questions

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