What problem does it solve? Hidden data embedded in images, audio, files, or text is easy to miss without a systematic approach. This Skill provides a file-type-driven playbook for detecting and extracting steganographic content, covering the tools and commands needed for each carrier format in CTF and forensic analysis scenarios. ## Core Features & Use Cases - Image Steganography Analysis: LSB extraction with zsteg and StegSolve, PNG chunk and CRC-dimension tricks, JPEG steghide/jsteg extraction, EXIF metadata inspection, and GIF palette analysis. - Audio & File Steganography: Spectrogram inspection, DTMF and morse decoding, WAV LSB extraction, polyglot detection, binwalk/foremost carving, NTFS ADS reading, and steghide passphrase cracking with stegseek. - Text Steganography & Decision Tree: Whitespace (stegsnow), zero-width Unicode, and homoglyph detection, plus a decision tree that routes any suspicious file to the right analysis workflow. - Use Case: During a CTF challenge you receive a suspicious PNG. Follow the decision tree to run exiftool, pngcheck, zsteg, and binwalk in sequence, then brute-force the correct image dimensions via CRC to reveal hidden rows containing the flag. ## Quick Start Analyze the attached image file for hidden steganographic data and extract any concealed content.