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 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| 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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