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Long-Form Web Novel Ranking Scan

Scrapes and aggregates bestseller/new-release rankings from major Chinese web-novel platforms to extract market trends and viable story-topic candidates.

Content & WritingIntermediate★ 7,438⑂ 1,067AI score 8/10Last updated: Oct 10, 2026

What it does

  • Collects ranking and new-release data from Qidian, Fanqie, Jinjiang, Qimao and Ciweimao using a priority ladder: bundled scraper scripts → user-pasted rankings/links/screenshots → built-in trend knowledge (clearly flagged as hypotheses only).
  • Stores raw boards in a dated 扫榜/{YYYYMMDD}/ folder, then runs aggregate-rank.js to compress everything into one short table: genre distribution, share of titles, median heat and word count, hot tags, title-naming patterns, cross-board overlap.
  • Produces an author-facing report: genre heat ranking, emerging-genre signals, classic-genre momentum, newly extracted character setups / opening hooks / tropes, and three directions worth pursuing.
  • Writes a 选题决策.md decision file with 2–3 recommended topics framed as: why it can break out → market validation → differentiation → feasibility, failure risk, verification action.
  • Enforces guardrails: sparse samples (<15 titles, <10 on small platforms) cannot be rated "high" feasibility, and knowledge-only mode is capped at "medium".

Who it's for

  • Authors publishing (or planning to publish) long-form serials on Chinese web-novel platforms
  • Editors and content planners who need per-platform genre competition data
  • Content teams doing recurring web-novel market research

Examples

  1. Run /story-long-scan, answer "Qidian" → it loads the Qidian reference, scrapes the boards, aggregates, and outputs a market report.
  2. "Scan Qimao new releases" → analysis switches to free-reading metrics (heat, hot-list rank) appropriate to that platform.
  3. Paste your own ranking list → it normalizes the entries into the standard file format, aggregates, and runs the same report and topic-decision flow.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/zenstory-ai/oh-story-claudecode/HEAD/skills/story-long-scan/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the skills/story-long-scan folder from the GitHub repo zenstory-ai/oh-story-claudecode into my ~/.claude/skills/story-long-scan/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/zenstory-ai/oh-story-claudecode.git && mkdir -p ~/.claude/skills && cp -r oh-story-claudecode/skills/story-long-scan ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal.
  2. Clone the repo: git clone https://github.com/zenstory-ai/oh-story-claudecode.git
  3. Create the skills folder: mkdir -p ~/.claude/skills
  4. Copy the skill: cp -r oh-story-claudecode/skills/story-long-scan ~/.claude/skills/
  5. Verify that the references/ and scripts/ subfolders came along — the aggregation script is required.
  6. Make sure Node.js is installed: run node -v.
  7. For platforms that need a browser session, start Chrome first with /browser-cdp.
  8. Restart Claude Code and type /story-long-scan to begin.
View source on GitHub ↗License: MIT