Catches and removes the telltale signs that text came from an LLM: "delve into," "tapestry," "serves as," those three-item lists, the hedging that stacks qualifiers, the generic "exciting times ahead" conclusions. Built on 28 pattern detectors plus statistical analysis of burstiness and vocabulary diversity. Run it on drafts to get a score and specific suggestions, or use the always-on mode to bake the rules into your agent's system prompt so it never writes like a press release in the first place. The before/after examples are instructive: it's not about dumbing down, it's about writing with actual opinions and letting some natural mess back in.
npx -y skills add brandonwise/humanizer --skill humanizer --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
juliusbrussee/caveman
mattpocock/skills
shadcn/improve
obra/superpowers
forrestchang/andrej-karpathy-skills
vercel-labs/skills