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WritingPowerShell

Competitor Analysis

by lornshrimp

Competitor Analysis is a Writing skill for Claude Code, published by lornshrimp in Lorn.NovelWriteSkills.

202 stars37 forkson lornshrimp/Lorn.NovelWriteSkillsAdded 2026/09/05+2% in starsRepository updated 2026/09/04
agent-skillsainovelskillswriting-assistant
Install in seconds
Install Competitor Analysis
Copy Competitor Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit 'https://github.com/lornshrimp/Lorn.NovelWriteSkills/tree/main/CommonSkills/%E9%80%9A%E7%94%A8-%E5%88%86%E6%9E%90%E7%AB%9E%E5%AF%B9%E4%BD%9C%E5%93%81' ~/.claude/skills/'%E9%80%9A%E7%94%A8-%E5%88%86%E6%9E%90%E7%AB%9E%E5%AF%B9%E4%BD%9C%E5%93%81'

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/lornshrimp/Lorn.NovelWriteSkills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
CommonSkills/通用-分析竞对作品/SKILL.md in lornshrimp/Lorn.NovelWriteSkills
Installs to
~/.claude/skills/%E9%80%9A%E7%94%A8-%E5%88%86%E6%9E%90%E7%AB%9E%E5%AF%B9%E4%BD%9C%E5%93%81
Collection
One of 25 skills cataloged from this repository
Category
Writing1227 skills

What Competitor Analysis does

Competitor Analysis helps compare top-novels against a four-layer framework covering market data, content, operations, and reader feedback. Use it to identify strong samples, gather evidence, and write per-book analysis reports for a target project.

Competitor Analysis is cataloged under Writing on DirSkills. Competitor Analysis comes from a repository tagged agent-skills, ai, novel, skills and writing-assistant.

Documentation

README

通用-分析竞对作品

题材路由:若 .github\题材专用Skills\ 目录存在对应的 <题材>-分析竞对作品 Skill,则:

  • 将题材特性骨架路由到 <题材>-分析竞对作品,该 Skill 位于 .github\题材专用Skills\ 目录。
  • 命中本技能时,必须优先强制加载当前 Skill 与 <题材>-分析竞对作品。

这不是“列一个书单”的轻量推荐动作,也不是只看简介后给几句泛泛感想的伪竞品分析,更不是把个人阅读好恶伪装成专业结论的文学赏析。

本 Skill 的目标,是把“同题材最强样本到底强在哪”拆成可检索、可举证、可落盘、可横比、可回用于当前项目的完整工作流:

  • 先用工作区现有研究与 Skill 体系生成本轮分析维度;
  • 再锁定目标平台同题材 TopN 候选池与正式深拆样本池;
  • 竞对分析/竞对资料/ 下已存在某些竞对作品的深入研究、章节正文摘要或历史资料摘记,也要一并纳入,作为本轮分析的补充参考;
  • 再按“市场数据层 → 内容创作层 → 运营策略层 → 受众反馈层”逐本深搜;
  • 最后在 竞对分析/ 中为每一部作品单独撰写详细竞对分析报告,并在需要时汇总横向总览与对当前项目的动作结论。

默认情况下,本 Skill 在起点中文网语境下必须优先回答以下三个商业问题:

  1. 该竞品在内容创作层做对了哪些精准踩中平台内容偏好的关键设计?
  2. 该竞品在流量运营层采用了哪些适配平台算法与用户生态的资源策略?
  3. 该竞品在受众心智层抢占了哪些未被充分覆盖的用户认知空白?

继续读取的 references(强制读取门禁)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Competitor Analysis

  • What else does lornshrimp publish alongside Competitor Analysis?

    Competitor Analysis is one of 25 skills that DirSkills catalogs from lornshrimp/Lorn.NovelWriteSkills, the repository it ships in. Its siblings there include Generic Scene Unit Execution, Novel Chapter Writing and Novel Project Initialization. Each one is a separate skill with its own page in this directory, installs the same way Competitor Analysis does, and is maintained by lornshrimp in that same repository. The rest of the collection is listed on the lornshrimp/Lorn.NovelWriteSkills page.

  • How does Competitor Analysis compare to other Writing skills?

    Competitor Analysis ranks #996 by stars among the 1227 Writing skills in this catalog. The most-starred ones next to it are Article Writing, Social Media Content Calendar and Knowledge Comic Creator. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Competitor Analysis against them. Open each page to compare what they document and how they install.

More from lornshrimp/Lorn.NovelWriteSkills

Competitor Analysis is one of 25 skills cataloged on DirSkills from lornshrimp/Lorn.NovelWriteSkills.

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Novel Project Initialization

Novel Project Initialization sets up a new novel project after platform and genre are chosen, before outlining. It creates the required Agents.md and a project initialization bluebook using research and competitor data.
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Platform Signing Evaluation Framework assesses a manuscript’s potential to pass platform review under a strict, conservative standard. Use it for staged acceptance checks, competitor comparison, hard-stop rules, and probability ranges before submitting.
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