PM-Skills MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PM_SKILLS_PATH | No | Path to custom skills directory | (embedded) |
| PM_PERSONAS_PATH | No | Path to persona library resources | (auto) |
| PM_SKILLS_FORMAT | No | Default output format | full |
| PM_SKILLS_INCLUDE_EXAMPLES | No | Include examples by default | false |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| pm_list_skillsA | List all available PM-Skills tools. Returns a categorized list of all PM-Skills tools organized by workflow phase and classification. Use this tool to discover which skills are available before invoking specific skill tools. Returns: Markdown formatted list of all skills with their tool names and descriptions. |
| pm_list_resourcesA | List all available PM-Skills MCP resources. Returns a categorized list of all skill instructions, templates, and examples available as MCP resources. Resources can be accessed via
Returns: Markdown formatted list of all resources organized by type with their URIs. |
| pm_list_personasA | List all available persona library entries. Returns persona resources grouped by category, with resource URIs for direct retrieval via Returns:
Markdown formatted list of persona references from |
| pm_validateA | Validate a PM artifact against its skill template. Checks that an output document contains the expected sections from a skill's template. Args:
Returns: Validation result with section checklist and suggestions for improvement. |
| pm_search_skillsA | Search PM-Skills by keyword. Searches across skill names, descriptions, and content to find relevant skills for your needs. Args:
Returns: Markdown formatted list of matching skills with relevance context. |
| pm_cache_statsA | Get PM-Skills cache statistics. Shows performance metrics for the skill content cache including hit rate, cache size, and TTL settings. Useful for monitoring server performance and debugging cache behavior. Returns: Markdown formatted cache statistics. |
| pm_workflow_feature_kickoffA | Feature Kickoff workflow - Complete workflow for kicking off a new feature, from problem definition through implementation-ready requirements. Effort Level: standard Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_lean_startupA | Lean Startup Validation workflow - Build-Measure-Learn cycle for validating product hypotheses through experimentation. Effort Level: comprehensive Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_triple_diamondA | Triple Diamond workflow - Comprehensive end-to-end workflow following the Triple Diamond framework from discovery through delivery. Effort Level: comprehensive Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_quick_prdA | Quick PRD workflow - Streamlined workflow for rapidly creating a PRD when the problem and solution are already well-understood. Effort Level: quick Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_experiment_cycleA | Experiment Cycle workflow - Complete experimentation workflow from hypothesis through learning capture. Effort Level: standard Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_customer_discoveryA | Customer Discovery workflow - Transform raw research into a clear, validated problem worth solving. Effort Level: standard Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_sprint_planningA | Sprint Planning workflow - Prepare sprint-ready stories with edge case coverage from a backlog or PRD. Effort Level: quick Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_product_strategyA | Product Strategy workflow - Frame a major strategic initiative with competitive context and documented decisions. Effort Level: comprehensive Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_post_launch_learningA | Post-Launch Learning workflow - Set up measurement, evaluate results, and capture learnings after a feature ships. Effort Level: comprehensive Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_stakeholder_alignmentC | Stakeholder Alignment workflow - Build a compelling case for leadership buy-in before committing resources. Effort Level: standard Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_workflow_technical_discoveryA | Technical Discovery workflow - Evaluate technical feasibility and document architecture decisions. Effort Level: standard Steps:
Use this tool to get a complete workflow plan. The AI client orchestrates execution by calling each step's tool in sequence. Args:
Returns: Markdown workflow plan with steps, guidance, and execution instructions. |
| pm_list_workflowsA | List all available PM-Skills workflows. Workflows are pre-defined sequences of skills for common PM workflows like feature kickoff, lean validation, and experimentation. Use this tool to discover available workflows before invoking a specific workflow tool. Returns: Markdown formatted list of all workflows with their descriptions and steps. |
| pm_list_promptsA | List all available PM-Skills MCP prompts. Prompts are conversation starters that help you begin common PM workflows with appropriate context. Use this tool to discover available prompts. Then use MCP's Returns: Markdown formatted list of all prompts with their descriptions. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| feature-kickoff | Start a complete feature kickoff workflow. This prompt guides you through the full feature development process: 1. Problem Statement - Define the problem being solved 2. Hypothesis - Create a testable hypothesis 3. Solution Brief - Outline the proposed solution 4. PRD - Document comprehensive requirements 5. User Stories - Break down into implementable stories Best for: Starting work on new features, transitioning from discovery to delivery. |
| lean-validation | Start a Lean Startup validation workflow. This prompt guides you through the Build-Measure-Learn cycle: 1. Hypothesis - Define a testable hypothesis with success criteria 2. Experiment Design - Design an experiment to test the hypothesis 3. Instrumentation Spec - Specify data collection requirements (optional) 4. Experiment Results - Document and analyze outcomes 5. Pivot Decision - Decide whether to pivot, persevere, or iterate Best for: Validating risky assumptions, testing product-market fit, data-driven decisions. |
| quick-prd | Start a streamlined PRD creation workflow. This prompt provides a fast path to a PRD when requirements are clear: 1. Problem Statement - Briefly document the problem 2. PRD - Create comprehensive requirements Best for: Small features, time-constrained situations, when discovery is already complete. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| pm-skills-skill-resources | |
| pm-skills-persona-resources |
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