agentleFS
Sign inStart free
whz39codingwhz39coding/zh-awesome-codex-skills/content-research-writer/SKILL.md

content-research-writer

Skill4 starsChanged 5 months agoNo licenceView on GitHub

通过资料研究、添加引用、优化开头、迭代大纲和逐段反馈来辅助撰写高质量内容，把独立写作变成协作式写作流程。Keywords: content writing, research, citations, outline.

72 other projects use a version of this, 59 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use llm-application-dev and twitter-algorithm-optimizer.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • pepebot-spaceSkill

    llm-application-dev

    Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.

    Also in 4 projects that use this

  • trendinuxSkill

    twitter-algorithm-optimizer

    Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.

    Also in 13 projects that use this

The file

Show its rules and text

We split this skill into the rules it gives an agent

20 rules. 20 are common, 0 are distinctive, and 0 are very specific to this project.

  • 20

    Common

    Most of the 68 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 68 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free