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utils:find-claude-plugin-root

General0 installsUpdated 1d ago
Curateddiegosouzapw

This skill should be used when the user needs to locate a plugin's installation path, when ${CLAUDE_PLUGIN_ROOT} doesn't expand in markdown files, or when invoked via /utils:find-claude-plugin-root. Generates a CPR resolver script at /tmp/cpr.py.

SKILL.md preview

---
name: utils:find-claude-plugin-root
description: This skill should be used when the user needs to locate a plugin's installation path, when ${CLAUDE_PLUGIN_ROOT} doesn't expand in markdown files, or when invoked via /utils:find-claude-plugin-root. Generates a CPR resolver script at /tmp/cpr.py.
version: 0.1.0
---

# Find Claude Plugin Root

This skill generates a Python resolver script at `/tmp/cpr.py` that locates a plugin's installation directory by reading `~/.claude/plugins/installed_plugins.json`.

## Problem It Solves

`${CLAUDE_PLUGIN_ROOT}` environment variable doesn't expand in markdown command files, making it impossible to reference plugin scripts and resources. This is a known issue: https://github.com/anthropics/claude-code/issues/9354

## Solution

Generate a Python script that:
1. Accepts plugin name as argument
2. Tries `${CLAUDE_PLUGIN_ROOT}` first (backwards compatible)
3. Reads installed_plugins.json and searches for exact match
4. If no exact match, finds similar plugin names (fuzzy matching)
5. Outputs the plugin installation path to stdout
6. Saves to `/tmp/cpr.py` (ephemeral, no project pollution)

## Usage

Invoke this skill before executing plugin scripts:

```bash
# Generate the resolver
Skill(skill="utils:find-claude-plugin-root")

# Use it to find a plugin and execute its scripts
PLUGIN_ROOT=$(python3 /tmp/cpr.py readme-and-co)
python "$PLUGIN_ROOT/scripts/populate_license.py" --license MIT
```

## Implementation

### Step 1: Create the CPR resolver Python script

```bash
cat > /tmp/cpr.py << 'CPREOF'
#!/usr/bin/env python3
"""
Claude Plugin Root (CPR) Resolver

Usage: python3 /tmp/cpr.py <plugin-name>
Returns: absolute path to plugin installation directory

Searches for plugins in ~/.claude/plugins/installed_plugins.json with fuzzy matching.
"""

import json
import os
import sys
from pathlib import Path
from difflib import SequenceMatcher


def similarity(a, b):
    """Calculate similarity ratio between two strings."""
    return SequenceMatcher(None, a.lower(), b.lower()).ratio()


def find_plugin_root(plugin_name):
    """
    Find plugin installation directory.

    Returns: (plugin_root_path, match_type)
        match_type: 'env_var', 'exact', 'fuzzy', or None
    """
    # Try CLAUDE_PLUGIN_ROOT first (backwards compatible)
    env_root = os.environ.get('CLAUDE_PLUGIN_ROOT')
    if env_root and os.path.isdir(env_root):
        return env_root.rstrip('/'), 'env_var'

    # Read installed_plugins.json
    plugins_file = Path.home() / '.claude' / 'plugins' / 'installed_plugins.json'

    if not plugins_file.exists():
        return None, None

    try:
        with open(plugins_file, 'r') as f:
            data = json.load(f)
            plugins = data.get('plugins', {})
    except (OSError, json.JSONDecodeError):
        return None, None

    # Try exact match first (case-insensitive)
    for key, value in plugins.items():
        if plugin_name.lower() in key.lower():
            # Handle list or dict value
            if isinstance(value, list) and len(value) > 0:
                value = value[0]
            install_path = value.get('installPath', '').rstrip('/')
            if install_path and os.path.isdir(install_path):
                return install_path, 'exact'

    # Try fuzzy matching if no exact match
    matches = []
    for key, value in plugins.items():
        # Extract just the plugin name from key (e.g., "owner/plugin-name" -> "plugin-name")
        key_parts = key.split('/')
        plugin_part = key_parts[-1] if key_parts else key
        # Also handle @ separator (e.g., "plugin-name@plugin-name")
        plugin_part = plugin_part.split('@')[0]

        ratio = similarity(plugin_name, plugin_part)
        if ratio > 0.6:  # 60% similarity threshold
            # Handle list or dict value
            if isinstance(value, list) and len(value) > 0:
                value = value[0]
            install_path = value.get('installPath', '').rstrip('/')
            if install_path