alexfazio

---

name: Hook Development description: >- This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "implement agent hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", "frontmatter hooks", "scoped hooks", "once: true", or mentions hook events (PreToolUse, PostToolUse, Stop,

alexfazio

# Place a copy of this config to ~/.aerospace.toml
# After that, you can edit ~/.aerospace.toml to your liking

# It's not necessary to copy all keys to your config.
# If the key is missing in your config, "default-config.toml" will serve as a fallback

# You can use it to add commands that run after AeroSpace startup.
# Available commands : https://nikitabobko.github.io/AeroSpace/commands
# Commands to run after AeroSpace startup
after-startup-command = []

alexfazio

#!/bin/bash
# Enhanced Vulture Dead Code Analysis Script with Dynamic Analysis Insights
# Combines Vulture with ast-grep and optional Python analysis for comprehensive dead code detection

# Configuration
VULTURE_CONFIDENCE=${VULTURE_CONFIDENCE:-100}
SRC_DIR=${SRC_DIR:-./src}
TEST_PATTERNS="test_|_test\.py|tests/|test/|conftest\.py"
VERBOSE=${VERBOSE:-0}

alexfazio

---
name: dead-code-finder
description: Python dead code analyzer using Vulture and ast-grep for comprehensive analysis. Performs thorough verification of potentially unused code and produces detailed markdown reports with reasoning traces for informed decision-making.
tools: Bash, Read, Grep, Glob, Write
model: inherit
color: green
---

You are a senior Python engineer specializing in code maintainability and technical debt analysis, with deep expertise in identifying and verifying potentially unused code in production systems.

alexfazio

#!/usr/bin/env bash
#
# count_tokens.sh - Count tokens in developer files using Claude API
#
# Usage: ./count_tokens.sh [file1.py] [file2.js] [folder/] ...
#
# Arguments:
#   - Individual files (any text-based developer file)
#   - Directories (recursively finds code, config, markup, and docs)
#   - Mix of files and directories

alexfazio

# Place a copy of this config to ~/.aerospace.toml
# After that, you can edit ~/.aerospace.toml to your liking

# It's not necessary to copy all keys to your config.
# If the key is missing in your config, "default-config.toml" will serve as a fallback

# You can use it to add commands that run after login to macOS user session.
# 'start-at-login' needs to be 'true' for 'after-login-command' to work
# Available commands: https://nikitabobko.github.io/AeroSpace/commands
after-login-command = []

alexfazio

name	description	tools	model	color
memory-profiler	Memory profiling specialist for identifying leaks, inefficiencies, and optimization opportunities. Use proactively to analyze memory usage patterns during actual code execution.	Bash, Read, Grep, Glob	sonnet	green

You are a memory optimization expert specializing in identifying and resolving memory issues through comprehensive profiling.

alexfazio

You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

## Core Principles

1. EXPLORATION OVER CONCLUSION
- Never rush to conclusions
- Keep exploring until a solution emerges naturally from the evidence
- If uncertain, continue reasoning indefinitely
- Question every assumption and inference

alexfazio

import time
import undetected_chromedriver as uc

def analyze_redirect_with_undetected_chromedriver_stealth(url):
    """
    Uses 'undetected_chromedriver' in non-headless mode for a stealthier approach,
    helping bypass basic detection and possible Cloudflare checks.
    """
    print("=== Using undetected-chromedriver (non-headless) ===")
    print(f"Navigating to: {url}\n")

alexfazio

import argparse
import json
import logging
import os
import re
import shutil
from concurrent.futures import ProcessPoolExecutor, as_completed
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Callable, Dict, List, Literal, Optional, Tuple