Fast, disk-efficient Node.js package manager with strict dependency resolution and monorepo support.
Works with
Enforces strict dependency resolution by default, preventing phantom dependencies; uses content-addressable storage to deduplicate packages across projects
Supports monorepo workspaces with filtering, shared lockfiles, and workspace protocol; configuration via pnpm-workspace.yaml
Includes advanced dependency management: catalogs for centralized version control, overrides to force spec
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionpnpmExecute the skills CLI command in your project's root directory to begin installation:
Fetches pnpm from antfu/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate pnpm. Access via /pnpm in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
7
total installs
7
this week
4.5K
GitHub stars
0
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Run in your terminal
7
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7
this week
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stars
pnpm is a fast, disk space efficient package manager. It uses a content-addressable store to deduplicate packages across all projects on a machine, saving significant disk space. pnpm enforces strict dependency resolution by default, preventing phantom dependencies. Configuration should preferably be placed in pnpm-workspace.yaml for pnpm-specific settings.
Important: When working with pnpm projects, agents should check for pnpm-workspace.yaml and .npmrc files to understand workspace structure and configuration. Always use --frozen-lockfile in CI environments.
The skill is based on pnpm 10.x, generated at 2026-01-28.
| Topic | Description | Reference |
|---|---|---|
| CLI Commands | Install, add, remove, update, run, exec, dlx, and workspace commands | core-cli |
| Configuration | pnpm-workspace.yaml, .npmrc settings, and package.json fields | core-config |
| Workspaces | Monorepo support with filtering, workspace protocol, and shared lockfile | core-workspaces |
| Store | Content-addressable storage, hard links, and disk efficiency | core-store |
| Topic | Description | Reference |
|---|---|---|
| Catalogs | Centralized dependency version management for workspaces | features-catalogs |
| Overrides | Force specific versions of dependencies including transitive | features-overrides |
| Patches | Modify third-party packages with custom fixes | features-patches |
| Aliases | Install packages under custom names using npm: protocol | features-aliases |
| Hooks | Customize resolution with .pnpmfile.cjs hooks | features-hooks |
| Peer Dependencies | Auto-install, strict mode, and dependency rules | features-peer-deps |
| Topic | Description | Reference |
|---|---|---|
| CI/CD Setup | GitHub Actions, GitLab CI, Docker, and caching strategies | best-practices-ci |
| Migration | Migrating from npm/Yarn, handling phantom deps, monorepo migration | best-practices-migration |
| Performance | Install optimizations, store caching, workspace parallelization | best-practices-performance |
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Solid pick for teams standardizing on skills: pnpm is focused, and the summary matches what you get after install.
Useful defaults in pnpm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
pnpm has been reliable in day-to-day use. Documentation quality is above average for community skills.
pnpm is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend pnpm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
pnpm has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for pnpm matched our evaluation — installs cleanly and behaves as described in the markdown.
I recommend pnpm for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
pnpm reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in pnpm — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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