A comprehensive reference for spotting AI-generated text, built from academic research and real-world detection patterns. Covers vocabulary fingerprints like "delve" and "tapestry," structural tells like uniform sentence length and tricolon abuse, plus model-specific artifacts (ChatGPT's turn0search markers, Grok's XML tags). The methodology is layered: scan for technical artifacts first, then analyze vocabulary clusters, structure, and citations. Includes false positive prevention guidance since non-native speakers get flagged at 61% rates. Useful when you need to verify authorship or understand how detection actually works beyond vague "it sounds robotic" intuition. Requires 200+ words and multiple signals for reliable results.
npx -y skills add mike-coulbourn/claude-vibes --skill ai-writing-detection --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
supercent-io/skills-template
supercent-io/skills-template
huangjia2019/claude-code-engineering
reactjs/react.dev
reactjs/react.dev