How to Navigate the pm-skills Repository: A Complete Guide to Claude Code Plugins

To navigate the pm-skills repository effectively, start at the root README to identify domains, drill down into plugin directories containing .claude-plugin/ folders, explore skills/ and commands/ subdirectories, and use the validate_plugins.py script to verify structure and cross-references.

The pm-skills repository is a curated collection of Claude Code plugins that encapsulate product management "skills" and associated "commands." Understanding how to navigate this repository allows you to quickly locate specific plugins, validate their structure, and understand relationships between skills and commands. The repository follows a strict hierarchical pattern that repeats across every domain, making navigation predictable once you understand the conventions.

Understanding the Repository Architecture

The repository organizes content across five distinct levels, each with specific responsibilities and file paths.

Root Level contains repository metadata including README.md, CLAUDE.md, and validate_plugins.py. These files provide the high-level overview, licensing information, and the validation tool that sanity-checks the entire collection.

Domain Level represents logical groupings of related plugins such as pm-product-discovery/, pm-execution/, and pm-ai-shipping/. These directories help you focus on specific product management areas without navigating unrelated content.

Plugin Level contains self-contained Claude Code plugins recognized by the presence of a .claude-plugin/ directory containing a plugin.json manifest. Each plugin includes its own README, skills directory, and commands directory.

Skill Level houses reusable knowledge artifacts written in Markdown with front-matter, located at skills/<skill-name>/SKILL.md. These files describe capabilities including optional triggers and detailed descriptions.

Command Level stores concrete Claude commands that invoke one or more skills at commands/<command-name>.md. These files contain front-matter specifying descriptions and argument hints while referencing specific skills.

Step-by-Step Navigation Workflow

Follow this systematic approach to locate and validate any plugin in the repository.

1. Start at the root README (README.md) to identify available domains and high-level organization.

2. Select a domain that matches your needs (e.g., pm-market-re research/ for market analysis) and open its README for domain-specific navigation shortcuts.

3. Locate the plugin directory by identifying folders containing .claude-plugin/plugin.json manifests. This JSON file defines the plugin metadata required by Claude.

4. Review the plugin README for quick links to available skills and commands, plus installation instructions.

5. Explore skills by opening files at skills/<skill-name>/SKILL.md. For example, examine the user-segmentation skill to understand specific product management methodologies.

6. Examine commands at commands/<command-name>.md to see how skills are invoked. The research-users.md command demonstrates how to trigger the user-segmentation skill.

7. Validate the plugin using the validator script to ensure all cross-references are intact and the structure conforms to the Claude specification.

8. Check cross-references between commands and skills to ensure consistency—the validator flags missing references automatically.

Validating Structure with validate_plugins.py

The validator script serves as both a diagnostic tool and a navigational aid, automatically discovering plugins by searching for .claude-plugin/ folders.

Running the Validator

Execute the script from the repository root to generate a color-coded report:

python3 validate_plugins.py .

The discovery logic in lines 81-86 of validate_plugins.py walks the directory tree, identifies plugins, and validates manifests, skills, and commands.

Interpreting the Output

The print_report function (lines 70-124 of validate_plugins.py) produces structured output showing:

• Plugin names with skill/command counts
• Manifest validation warnings (e.g., missing homepage fields)
• Skill-specific metrics (e.g., word counts)
• Command issues (e.g., short descriptions)
• Cross-reference verification

Example output for a healthy plugin:

 Plugin Collection Validator — Report
 ┌─ pm-market-research  [8 skills, 3 commands]  ✓ PASS (2 warnings)
   Manifest:
     ⚠ WARN: Missing recommended field: homepage
   Skills with issues:
     user-segmentation:
       ℹ Word count: 421
   Commands with issues:
     research-users.md:
       ⚠ WARN: Description is very short (12 chars)
   Cross-references:
     ℹ No missing skill references
 └─────────────────────────────────────────────────────────────────────────────────

Programmatic Exploration Techniques

For advanced navigation, interact with the repository structure programmatically.

Listing Skills Programmatically

The validator builds skill lists by iterating through the skills/ directory. You can replicate this logic (as implemented in lines 24-33 of validate_plugins.py) to enumerate available skills:

import os, json
from pathlib import Path

def list_skills(plugin_dir: str):
    skills_dir = Path(plugin_dir) / "skills"
    return [p.name for p in skills_dir.iterdir() if p.is_dir()]

print(list_skills("pm-market-research"))

# → ['user-segmentation', 'user-personas', 'sentiment-analysis', ...]

Finding Commands by Skill Reference

To locate which commands invoke a specific skill, search command files for references:

rg "\*\*user-segmentation\*\* skill" -g "commands/*.md"

This reveals exactly which command files link to the user-segmentation skill, helping you understand the plugin's internal dependencies.

Essential Files for Navigation

Understanding these critical files accelerates your ability to navigate the pm-skills repository:

• README.md (root): The entry point listing all domains and providing high-level repository overview.
• CLAUDE.md: Contains the official Claude Code plugin specification that defines the structure expected throughout the repository.
• validate_plugins.py: The central validation script that demonstrates expected directory layouts and verifies plugin integrity.
• pm-market-research/README.md: An example domain README showing navigation patterns and quick links to domain-specific resources.
• pm-market-research/.claude-plugin/plugin.json: A sample manifest file required by Claude to recognize and load the plugin.
• pm-market-research/skills/user-segmentation/SKILL.md: A representative skill file demonstrating front-matter conventions and documentation standards.
• pm-market-research/commands/research-users.md: A sample command file illustrating how skills are referenced and invoked.

Summary

• The pm-skills repository organizes Claude Code plugins into a five-level hierarchy: Root, Domain, Plugin, Skill, and Command.
• Always begin navigation at the root README.md, then drill down through domains to specific plugin directories containing .claude-plugin/ folders.
• Skills reside in skills/<name>/SKILL.md files while commands live at commands/<name>.md.
• Run python3 validate_plugins.py . to verify plugin structure and identify cross-reference issues automatically.
• The validator's discovery logic (lines 81-86) and skill validation (lines 24-33) provide reliable patterns for programmatic exploration.

Frequently Asked Questions

What is the fastest way to find a specific skill in the pm-skills repository?

Navigate to the appropriate domain directory (e.g., pm-market-research/), open the plugin's README for quick links, then access the skill directly at skills/<skill-name>/SKILL.md. Alternatively, use the validate_plugins.py script to list all skills across the repository, or use grep to search for skill names within Markdown files.

How do I verify that a plugin is properly configured before using it?

Execute python3 validate_plugins.py . from the repository root. This script checks for the presence of required plugin.json manifests in .claude-plugin/ directories, validates that all referenced skills exist, verifies README completeness, and reports any structural errors or warnings in a color-coded format.

What is the relationship between skills and commands in the repository structure?

Skills are reusable knowledge artifacts documented in SKILL.md files that describe product management capabilities and methodologies. Commands are concrete invocation points stored as .md files in the commands/ directory that reference one or more skills to perform specific actions. Commands rely on skills for implementation logic, while skills remain independent and reusable across multiple commands.

Where can I find the official Claude Code plugin specification?

The CLAUDE.md file in the repository root contains the official specification that defines the expected structure for plugins, including the format for plugin.json manifests, skill front-matter requirements, and command file conventions. This document governs how the validate_plugins.py script checks plugin integrity.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
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}