This analyzes web fiction rankings from Chinese platforms like Qidian, Fanqie, and Jinjiang to spot market trends and hot genres. It either scrapes live data using browser-cdp, takes user-provided screenshots, or falls back to historical knowledge. The output is structured reports showing genre distribution, word count patterns, title conventions, and emerging tropes with actual book examples. It's designed for authors trying to figure out what's working right now before committing to a long-form project. The coolest part is how it distinguishes between platforms: Qidian optimizes for subscription reads, Fanqie for completion rates, Jinjiang for collections and reader donations. Each needs different success metrics.
npx -y skills add worldwonderer/oh-story-claudecode --skill story-long-scan --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