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PM-Skills MCP

Want to customize skills or use slash commands? This server is powered by pm-skills, the open-source skill library you can fork and modify. Browse the full catalog, interactive showcase, and setup guides at product-on-purpose.github.io/pm-skills.

IMPORTANT

Maintenance Mode (effective 2026-05-04)

Active development on pm-skills-mcp is paused pending demonstrated demand. The latest release is v2.9.3 (security patch shipped 2026-05-05; embedded catalog frozen at the v2.9.2 build) which remains fully functional and exposes a catalog of 40 PM skills, 11 workflows, and 8 utility tools (59 tools total) via the Model Context Protocol. Security patches and critical bug fixes will continue to be addressed; new skill parity with the upstream pm-skills library is on hold, so the catalog will continue to drift from pm-skills as new skills are added there.

For new users: the file-based install path documented in the main pm-skills repository is under active maintenance and is the recommended path going forward.

To register interest in resumed development: open a GitHub Discussion.



Quick Start (NPM Global Install)

npm install -g pm-skills-mcp

The Big Idea

PM-Skills MCP is an MCP server that transforms PM-Skills, a collection of 40 best-practice product management skills, into programmatically accessible tools, resources, and prompts for any AI assistant that speaks the Model Context Protocol.

PM-Skills MCP is built on pm-skills, an open-source collection of 40 PM skills organized by the Triple Diamond framework. While pm-skills offers file-based access with slash commands and AGENTS.md discovery, pm-skills-mcp wraps those same skills in an MCP server for programmatic access. The pm-skills library now includes lifecycle tools (Create, Validate, Iterate) and a documentation site with an interactive showcase.

Not sure which to use? See the Comparison section below, or the MCP Setup Guide on the docs site.

One connection. 40 skills. Any MCP client.

Why MCP?

The Model Context Protocol is an open standard that lets AI assistants connect to external tools and data sources. Instead of manually copying skill files or uploading ZIP archives, PM-Skills MCP gives your AI direct, programmatic access to the entire PM skill library.

The Transformation

File-Based Approach

MCP-Powered Approach

Clone repo, navigate to skills

npx pm-skills-mcp - done

Copy/paste skill content into chat

AI invokes tools directly

Manual template injection

Automatic template retrieval

Platform-specific slash commands

Universal across all MCP clients

Static markdown files

Dynamic, parameterized tools

Works in one IDE/client

Works everywhere MCP is supported

Key Features

  • 59 MCP Tools - 40 PM skills + 11 workflows + 8 utility tools

  • MCP Resources - Skill instructions, templates, and examples via URI, with optional persona resources when enabled

  • 3 MCP Prompts - Guided conversation starters for common workflows

  • 11 Workflows - Pre-built multi-skill workflows for common scenarios

  • 81 Automated Tests - Comprehensive test coverage with Vitest

  • Zero Configuration - Works out of the box with embedded skills

  • Universal Compatibility - Claude Desktop, Cursor, Continue, and any MCP client

  • Customizable - Override with your own skill modifications

  • Lightweight - Minimal dependencies, fast startup

  • Security Scanning - CodeQL analysis on every push

Built with...

Works for...

PM-Skills MCP works with any client that supports the Model Context Protocol. Here's a quick overview:

Platform Compatibility

Platform

Status

Integration Type

Notes

Claude Code

✅ Native

MCP Server

Full tool access via CLI

Claude Desktop

✅ Native

MCP Server

Recommended for best experience

Claude.ai

✅ Native

MCP Server (Projects)

Via MCP integration in Projects

Cursor

✅ Native

MCP Server

AI-powered IDE

VS Code

✅ Native

Via Cline/Continue

Multiple MCP-compatible extensions

Continue

✅ Native

MCP Server

Open-source coding assistant

Cline

✅ Native

MCP Server

VS Code extension

Windsurf

✅ Native

MCP Server

AI-native IDE

GitHub Copilot

🔶 Indirect

Via MCP-enabled tools

Use with Copilot Chat + MCP

OpenCode

🔶 Indirect

Via MCP-compatible config

Use standard stdio MCP server pattern

ChatGPT / Codex

🔶 Manual

Copy skill content

No native MCP support

Any MCP Client

✅ Universal

Protocol-level

Full compatibility

See the Integration Guide for detailed setup instructions for each platform.

Comparison: pm-skills-mcp (this repo) vs. pm-skills

PM-Skills is available in two complementary forms:

pm-skills-mcp (this repo)

pm-skills

What it is

MCP server wrapping the skill library

Skill library as markdown files

Access method

npx pm-skills-mcp

Git clone, ZIP upload

Setup time

30 seconds

2-5 minutes

Skill invocation

MCP tool calls

Slash commands (Claude Code)

Auto-discovery

MCP protocol (Claude Desktop, Cursor)

AGENTS.md (Copilot, Cursor, Windsurf)

Template access

URI-based resources

Navigate file system

Workflows

Tool-based execution

Manual orchestration

Customization

Set PM_SKILLS_PATH to custom folder

Edit files directly

Updates

npm update pm-skills-mcp

git pull

Use pm-skills-mcp (this repo) when:

  • You want instant setup with npx pm-skills-mcp

  • You're using Claude Desktop, Cursor, or any MCP client

  • You want programmatic tool access without managing files

  • You prefer consistent interfaces across different AI clients

Use pm-skills (file-based) when:

  • You prefer slash commands in Claude Code (/prd, /hypothesis)

  • You want to browse, read, and customize skill files directly

  • You're using GitHub Copilot, OpenCode, or Windsurf without reliable MCP support

  • You want to fork and heavily customize skills for your team

Using Both Together: Fork pm-skills to customize skills, then point pm-skills-mcp to your fork:

{
  "mcpServers": {
    "pm-skills": {
      "command": "npx",
      "args": ["pm-skills-mcp"],
      "env": {
        "PM_SKILLS_PATH": "/path/to/my/forked/pm-skills/skills"
      }
    }
  }
}

Getting Started

This section covers quick installation. For a comprehensive walkthrough including core concepts, your first tool invocation, workflows, and troubleshooting, see the Getting Started Guide.

NPM Global Install

npm install -g pm-skills-mcp

Run directly:

pm-skills-mcp

From Source

git clone https://github.com/product-on-purpose/pm-skills-mcp.git
cd pm-skills-mcp
npm install
npm run build
npm start

Quick Start by Platform

The recommended client for pm-skills-mcp. Add to your Claude Desktop configuration:

Config file location:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Windows: %APPDATA%\Claude\claude_desktop_config.json

  • Linux: ~/.config/Claude/claude_desktop_config.json

Configuration:

{
  "mcpServers": {
    "pm-skills": {
      "command": "npx",
      "args": ["pm-skills-mcp"]
    }
  }
}

Restart Claude Desktop. You now have access to all 40 PM skills as tools (catalog frozen at the v2.9.2 build; see Maintenance Mode notice above).

Add to .claude/settings.json in your project or ~/.claude/settings.json globally:

{
  "mcpServers": {
    "pm-skills": {
      "command": "npx",
      "args": ["pm-skills-mcp"]
    }
  }
}

Navigate to Settings → Features → MCP Servers, then add:

{
  "pm-skills": {
    "command": "npx",
    "args": ["pm-skills-mcp"]
  }
}

Restart Cursor. The 40 PM skill tools will be available in AI chat (catalog frozen at the v2.9.2 build; see Maintenance Mode notice above).

Configure your Copilot MCP extension/integration with the same stdio server pattern:

{
  "mcpServers": {
    "pm-skills": {
      "command": "npx",
      "args": ["pm-skills-mcp"]
    }
  }
}

If your Copilot surface does not currently expose MCP server configuration, use file-based pm-skills with AGENTS.md as the fallback path.

Use OpenCode's MCP server configuration with the standard npx pm-skills-mcp pattern:

{
  "mcpServers": {
    "pm-skills": {
      "command": "npx",
      "args": ["pm-skills-mcp"]
    }
  }
}

If MCP is unavailable in your current OpenCode setup, use file-based pm-skills and AGENTS.md.

With Cline:

  1. Install Cline from VS Code Marketplace

  2. Open Cline settings and configure MCP server:

    {
      "pm-skills": {
        "command": "npx",
        "args": ["pm-skills-mcp"]
      }
    }

With Continue:

  1. Install Continue from VS Code Marketplace

  2. Configure MCP in Continue settings

Any MCP-compatible client can use pm-skills-mcp. The general pattern:

  1. Configure an MCP server with command npx and args ["pm-skills-mcp"]

  2. Restart the client

  3. All 40 PM skills become available as tools (catalog frozen at the v2.9.2 build; see Maintenance Mode notice above)

See the Integration Guide for detailed instructions for all platforms.

Configuration

Environment Variables

Variable

Default

Description

PM_SKILLS_PATH

(embedded)

Path to custom skills directory

PM_PERSONAS_PATH

(auto)

Path to persona library resources

PM_SKILLS_FORMAT

full

Default output format

PM_SKILLS_INCLUDE_EXAMPLES

false

Include examples by default

Custom Skills Path

Override embedded skills with your customized versions:

{
  "mcpServers": {
    "pm-skills": {
      "command": "npx",
      "args": ["pm-skills-mcp"],
      "env": {
        "PM_SKILLS_PATH": "/path/to/my/custom/skills"
      }
    }
  }
}

Using Custom Skills from a pm-skills Fork

If you've forked pm-skills to customize skills:

  1. Clone your fork locally

  2. Make changes to skills in skills/{phase-skill}/ (e.g., skills/deliver-prd/)

  3. Point pm-skills-mcp to your fork:

{
  "mcpServers": {
    "pm-skills": {
      "command": "npx",
      "args": ["pm-skills-mcp"],
      "env": {
        "PM_SKILLS_PATH": "/path/to/my-pm-skills-fork/skills"
      }
    }
  }
}

See the pm-skills authoring guide for skill modification guidelines.


Usage

How It Works

┌─────────────────────────────────────────────────────────────┐
│                    Your AI Assistant                        │
│              (Claude, Cursor, Continue, etc.)               │
└──────────────────────────┬──────────────────────────────────┘
                           │ MCP Protocol
                           ▼
┌─────────────────────────────────────────────────────────────┐
│                    pm-skills-mcp Server                     │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│   ┌─────────────┐   ┌─────────────┐   ┌─────────────┐       │
│   │   59 Tools  │   │  Resources  │   │  3 Prompts  │       │
│   │             │   │             │   │             │       │
│   │ • 40 skills │   │ • templates │   │ • kickoff   │       │
│   │ • 11 flows  │   │ • examples  │   │ • lean      │       │
│   │ • 8 utils   │   │ • skills    │   │ • quick-prd │       │
│   │             │   │             │   │             │       │
│   └─────────────┘   └─────────────┘   └─────────────┘       │
│                                                             │
│   ┌─────────────────────────────────────────────────────┐   │
│   │              Embedded PM-Skills Library             │   │
│   │     40 skills × (SKILL.md + TEMPLATE + EXAMPLE)     │   │
│   └─────────────────────────────────────────────────────┘   │
│                                                             │
└─────────────────────────────────────────────────────────────┘
  1. You ask your AI to create a PRD, hypothesis, or any PM artifact

  2. AI invokes the appropriate pm_* tool via MCP

  3. Server returns skill instructions, template, and optionally an example

  4. AI generates a professional-quality artifact following the skill framework

Tools

PM-Skills MCP wraps each skill from pm-skills as an MCP tool. The 40 skill tools (like pm_prd, pm_hypothesis, pm_acceptance_criteria, pm_pm_skill_builder) generate PM artifacts, while 11 workflow tools and 8 utility tools help you orchestrate and validate skill usage. See the Comparison section for when to use MCP tools vs file-based slash commands.

Every skill tool accepts these parameters:

Parameter

Required

Description

topic

Yes

The subject or feature to create this artifact for. Be specific: "user authentication for mobile app" is better than "auth".

context

No

Additional requirements, constraints, or background. Use this for business context, technical constraints, or stakeholder needs.

format

No

Output verbosity: full (default, includes all guidance), concise (template + key points), or template-only (just structure).

includeExample

No

Set to true to include a completed example for reference. Helpful when learning a new skill.

Example invocations:

# Basic usage
Use pm_prd with topic "user authentication for mobile app"

# With context
Use pm_hypothesis with topic "checkout abandonment" and context "We see 40%
cart abandonment. Hypothesis: users abandon due to required account creation."

# Request concise output with example
Use pm_user_stories with topic "dark mode" format "concise" includeExample true

The Skills

🔍 Discover Phase - Find the right problem

Tool

Description

pm_interview_synthesis

Turn user research into actionable insights

pm_competitive_analysis

Map the landscape, find opportunities

pm_stakeholder_summary

Understand who matters and what they need

📋 Define Phase - Frame the problem

Tool

Description

pm_problem_statement

Crystal-clear problem framing

pm_hypothesis

Testable assumptions with success metrics

pm_opportunity_tree

Teresa Torres-style outcome mapping

pm_jtbd_canvas

Jobs to be Done framework

💡 Develop Phase - Explore solutions

Tool

Description

pm_solution_brief

One-page solution pitch

pm_spike_summary

Document technical explorations

pm_adr

Architecture Decision Records

pm_design_rationale

Why you made that design choice

🚀 Deliver Phase - Ship it

Tool

Description

pm_prd

Comprehensive product requirements

pm_user_stories

INVEST-compliant stories with acceptance criteria

pm_edge_cases

Error states, boundaries, recovery paths

pm_launch_checklist

Never miss a launch step again

pm_release_notes

User-facing release communication

📊 Measure Phase - Validate with data

Tool

Description

pm_experiment_design

Rigorous A/B test planning

pm_instrumentation_spec

Event tracking requirements

pm_dashboard_requirements

Analytics dashboard specs

pm_experiment_results

Document learnings from experiments

🔄 Iterate Phase - Learn and improve

Tool

Description

pm_retrospective

Team retros that drive action

pm_lessons_log

Build organizational memory

pm_refinement_notes

Capture backlog refinement outcomes

pm_pivot_decision

Evidence-based pivot/persevere framework

🧭 Foundation - Cross-cutting capability

Tool

Description

pm_persona

Generate product or marketing personas with explicit assumptions and evidence

🔗 Workflows - Multi-skill workflows

Tool

Effort

Description

pm_workflow_feature_kickoff

standard

problem → hypothesis → solution → PRD → stories

pm_workflow_lean_startup

comprehensive

hypothesis → experiment → results → pivot decision

pm_workflow_triple_diamond

comprehensive

Full discovery to delivery sequence

pm_workflow_quick_prd

quick

Fast problem → PRD workflow

pm_workflow_experiment_cycle

standard

hypothesis → experiment → results → lessons

pm_workflow_customer_discovery

standard

research → JTBD → opportunities → problem statement

pm_workflow_sprint_planning

quick

refinement → stories → edge cases

pm_workflow_product_strategy

comprehensive

competitive → stakeholders → opportunities → solution → ADR

pm_workflow_post_launch_learning

comprehensive

instrumentation → dashboard → results → retro → lessons

pm_workflow_stakeholder_alignment

standard

stakeholders → problem → solution → launch readiness

pm_workflow_technical_discovery

standard

spike → ADR → design rationale

🛠️ Utility Tools

Tool

Description

pm_list_skills

List all available PM skill tools

pm_list_resources

List all available MCP resources

pm_list_workflows

List all workflows with steps

pm_list_prompts

List available conversation prompts

pm_validate

Validate artifact against skill template

pm_search_skills

Search skills by keyword across names, descriptions, and content

pm_cache_stats

Show skill-cache hit rate, size, and TTL diagnostics

MCP Resources

Access skill content directly via MCP resources:

pm-skills://skills/{skill}      → Full skill instructions
pm-skills://templates/{skill}   → Template only
pm-skills://examples/{skill}    → Worked example

Examples:

pm-skills://skills/deliver-prd
pm-skills://templates/define-hypothesis
pm-skills://examples/measure-experiment-design

Note: Phase information is available in resource metadata.

Prompts

MCP prompts provide guided conversation starters for common workflows. Use prompts/get with the prompt name and a topic to begin.

Prompt

Description

feature-kickoff

Complete feature kickoff: Problem → Hypothesis → Solution → PRD → Stories

lean-validation

Build-Measure-Learn cycle: Hypothesis → Experiment → Results → Pivot

quick-prd

Fast PRD creation when requirements are clear: Problem → PRD

Usage example:

prompts/get name="feature-kickoff" arguments={"topic": "dark mode support"}

Guides

Comprehensive documentation for setup, customization, and understanding pm-skills-mcp.

Guide

Description

Getting Started

Complete walkthrough from installation to your first tool invocation. Covers core concepts, platform-specific setup, workflows, and troubleshooting.

Integration Guide

Detailed setup instructions for each MCP client (Claude Desktop, Cursor, Continue, Cline, etc.) with troubleshooting tips.

Customization Guide

How to use custom skills with pm-skills-mcp. Covers environment variable overrides, forking pm-skills, and creating new skills.

Migration Guide

Moving between file-based pm-skills and MCP-based pm-skills-mcp. Includes command-to-tool mapping and hybrid approaches.

Architecture

Technical deep-dive for contributors. Covers server internals, data flow, extension points, and performance considerations.

Repository Governance

Top-level ownership and tracked-vs-local persistence policy for contributors.


Project Status

Development Status

Maintenance mode as of 2026-05-04. Active feature development is paused pending demonstrated demand. The project will continue to receive security patches and critical bug fixes; new skill parity with the upstream pm-skills library is on hold pending a sustained signal of multi-team adoption.

Resumption criteria. A sustained signal of demand via GitHub Discussion engagement, install-volume growth, or direct contact from teams adopting the server in production workflows.

Recommended path for new users. The file-based install via the main pm-skills repository remains under active maintenance and is the supported path going forward. The main repository carries current parity with the latest pm-skills releases.

To register interest: open a GitHub Discussion.

Releases

All releases are available on the GitHub Releases page.

Install the latest version:

npm install -g pm-skills-mcp

Install a pinned release:

npm install -g pm-skills-mcp@2.9.3

npm version GitHub Release

From v2.4.0 onward, pm-skills-mcp directly tracks pm-skills release versions. Pinned source compatibility metadata is declared in pm-skills-source.json for each release.

Latest: v2.9.3 (security patch; 2026-05-05; catalog frozen at v2.9.2 build under maintenance mode). See GitHub Releases for the v2.9.x line. | Previous release details | Full changelog

Project Structure

See docs/reference/project-structure.md for detailed descriptions.

pm-skills-mcp/
├── src/                      # TypeScript source code
│   ├── index.ts              # Entry point
│   ├── server.ts             # MCP server implementation
│   ├── config.ts             # Configuration management
│   ├── cache.ts              # Skill caching layer
│   ├── skills/               # Skill loader and parser
│   ├── tools/                # MCP tool handlers (59 tools)
│   ├── resources/            # MCP resource handlers (skills/templates/examples + optional personas)
│   ├── prompts/              # MCP prompt definitions (3 prompts)
│   ├── workflows/            # Workflow definitions
│   └── types/                # TypeScript type definitions
├── skills/                   # Embedded PM skills (flat, copied from pm-skills v2.x)
│   ├── deliver-prd/          # Example: phase-prefixed skill directories
│   ├── define-hypothesis/    # Each skill has SKILL.md + references/
│   ├── discover-interview-synthesis/
│   └── ...                   # 40 skills total
├── docs/                     # Documentation
│   ├── getting-started.md    # Complete setup and first-use guide
│   ├── integration-guide.md  # Client-specific configuration
│   ├── customization.md      # Using custom skills with MCP
│   ├── migration-guide.md    # Moving between file-based and MCP
│   ├── architecture.md       # Technical internals for contributors
│   ├── releases/             # Shipped release notes
│   └── reference/            # Reference documentation
│       ├── project-structure.md
│       └── repository-governance.md
├── tests/                    # Vitest test suites (81 tests)
├── scripts/                  # Build and utility scripts
├── dist/                     # Compiled JavaScript output
├── .github/                  # CI/CD workflows
│   └── workflows/            # ci.yml, publish.yml, codeql.yml
├── pm-skills-source.json     # Pinned pm-skills repo/ref/version metadata
├── AGENTS.md                 # Agent discovery file
├── CONTRIBUTING.md           # Contribution guidelines
├── SECURITY.md               # Security policy
└── CHANGELOG.md              # Version history

Previous Release Details

v2.5.2 - Public release-doc readability cleanup. v2.5.1 - Canonical AGENTS/claude continuity path. v2.5.0 - Persona skill tool (pm_persona), two-axis classification model (phase + classification), embed validation hardening. Tool count: 38.

v2.4.3 - Release metadata/link alignment patch. v2.4.2 - Governance + structure-doc alignment. v2.4.1 - Version/pin parity patch. v2.4.0 - Adopted direct version tracking with pm-skills. Added pm-skills-source.json for reproducible embeds. Resource URI contract tests. Tool count: 36.

v2.1.0 - Flat skill structure alignment with pm-skills v2.x. Resource URIs flattened. v1.1.0 - Comprehensive documentation suite, platform compatibility. v1.0.0 - First stable release: 36 tools, caching, community governance. v0.1.x - Initial implementation: MCP server, CI/CD, npm packaging.

Changelog

See CHANGELOG.md for full version history.

Version

Date

Highlights

2.9.3

2026-05-05

Security patch: Dependabot alert cleanup (8 alerts closed). Catalog frozen at v2.9.2 build.

2.9.2

2026-05-04

Maintenance-mode declaration. 40 skills embedded; final new-skill embedding under active development.

2.9.0

2026-04-06

Workflow-tool parity with pm-skills (11 workflows), 59 tools total

2.8.0

2026-04-03

Lifecycle skill embedding (Create, Validate, Iterate)

2.7.0

2026-03-22

2 new skill tools (pm_acceptance_criteria, pm_pm_skill_builder), 27 skills, 40 tools

2.6.0

2026-03-04

Maintenance: pm-skills v2.6.0 version/source-pin parity

2.5.0

2026-03-02

Persona tool + taxonomy contract updates + embed hardening

2.4.0

2026-02-16

Direct version tracking + pinned source metadata

2.1.0

2026-01-27

Flat skill structure alignment with pm-skills v2.x

1.0.0

2026-01-21

First stable release: 36 tools, caching, governance

0.1.0

2026-01-20

Initial MCP server implementation

Roadmap

See the open issues for planned features.

  • Core MCP server with all 40 PM skills

  • Workflow tools (11 workflows)

  • MCP resources for direct skill access

  • MCP prompts for guided workflows

  • Automated npm publishing

  • Skill versioning and compatibility tracking

  • Additional workflows

  • Custom skill contribution support


Development

Testing

The project uses Vitest for testing with 81 tests across multiple test files.

# Run all tests
npm test

# Watch mode for development
npm run test:watch

# Generate coverage report
npm run test:coverage

Test coverage includes:

  • Skill loader and parser

  • Tool handler and response formatting

  • Workflow execution

  • Prompt registration

  • Output validation

  • Server initialization

Code Quality

# Lint with ESLint
npm run lint

# Auto-fix lint issues
npm run lint:fix

# Format with Prettier
npm run format

# Check formatting
npm run format:check

# Type check
npx tsc --noEmit

CI/CD

The project uses GitHub Actions for continuous integration and deployment:

CI Workflow (.github/workflows/ci.yml)

  • Triggers on push/PR to main

  • Tests on Node.js 18, 20, and 22

  • Runs lint, format check, type check, and tests

  • Clones pm-skills at the pinned ref from pm-skills-source.json and embeds skills for testing

Publish Workflow (.github/workflows/publish.yml)

  • Triggers on GitHub release creation

  • Auto-publishes to npm with provenance

  • Uses npm automation token for authentication

  • Embeds skills from the same pinned pm-skills ref declared in pm-skills-source.json

CodeQL Workflow (.github/workflows/codeql.yml)

  • Security scanning for JavaScript/TypeScript

  • Runs on push to main and weekly schedule


Security

We take security seriously. This project includes:

  • CodeQL Analysis - Automated security scanning on every push

  • Dependabot - Automated dependency updates for npm and GitHub Actions

  • Vulnerability Reporting - See SECURITY.md for our security policy

To report a vulnerability, please email security concerns privately rather than opening a public issue. See SECURITY.md for details.


Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make will benefit everybody else and are greatly appreciated.

How to Contribute

Quick contribution steps:

  1. Fork the Project

  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)

  3. Commit your Changes using Conventional Commits (git commit -m 'feat: add amazing feature')

  4. Push to the Branch (git push origin feature/AmazingFeature)

  5. Open a Pull Request

Please read our CONTRIBUTING.md for detailed guidelines.

Reporting Bugs

Please try to create bug reports that are:

  • Reproducible - Include steps to reproduce the problem

  • Specific - Include as much detail as possible (version, environment, etc.)

  • Unique - Do not duplicate existing opened issues

  • Scoped - One bug per report


About

Author

Howdy, I'm Jonathan Prisant, a product leader/manager/nerd in the church technology space who gets unreasonably excited about understanding + solving problems, serving humans, designing elegant systems, and getting stuff done. I enjoy optimizing and scaling workflows more than is probably healthy... NOT because I'm particularly fond of "business process definition", but because I think in systems and value the outcomes of increased "effectiveness and efficiency" (i.e. doing less of the boring work and more of the work I actually enjoy).

I am a follower of Jesus Christ, grateful husband to my beloved, proud (and exhausted) dad of 4 humans of various sizes and ages, D&D geek, 3d printing enthusiast, formerly-consistent strength trainer, smart home enthusiast, insatiable learner, compulsive tech-experimenter, writer-of-words that aggregate into sentences and paragraphs, and a bunch of other stuff too. I have too many projects going on across too many domains and need better self control, but hopefully you find this open-source repo helpful and useful.

If PM-Skills has helped you ship better products, consider giving the repo a star and sharing it with your team.

License

Distributed under the Apache License 2.0. See LICENSE for more information.

This means you can:

  • Use PM-Skills MCP commercially

  • Modify and distribute

  • Use privately

  • Include in proprietary software

The only requirements are attribution and including the license notice.

Security

We take security seriously. This project includes:

  • CodeQL Analysis - Automated security scanning on every push

  • Dependabot - Automated dependency updates for npm and GitHub Actions

  • Vulnerability Reporting - See SECURITY.md for our security policy

To report a vulnerability, please email security concerns privately rather than opening a public issue.

Acknowledgments

  • PM-Skills - The skill library that powers this MCP server. All 40 PM skills, templates, and examples come from pm-skills (embedded catalog frozen at the v2.9.2 build under maintenance mode).

  • Model Context Protocol - The protocol that makes this possible

  • Anthropic - For creating MCP and Claude


Community

Have ideas for making PM-Skills MCP even better? Here are some ways to contribute and connect:

Feature Ideas

Spread the Word

  • Give the repo a star if you find it useful

  • Share PM-Skills MCP with your team

  • Write about how you use PM-Skills MCP in your workflow

Feedback


A
license - permissive license
-
quality - not tested
C
maintenance

Maintenance

Maintainers
Response time
6dRelease cycle
17Releases (12mo)
Issues opened vs closed

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/product-on-purpose/pm-skills-mcp'

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