content-creator

content-creator is a skill for Claude Code, Codex from chengkj99/kj-skills. It costs 162 tokens per session (4,015 once invoked), scanned A, original, MIT.

A content-creation workflow that turns supplied material, a clear angle, or an existing draft into articles, short-video scripts, or Xiaohongshu notes. It emphasizes a central insight, factual claims, and a natural writing style.

In plain words
What is it for?
Use it to turn recordings into articles, expand ideas, revise drafts, analyze competitor articles, or adapt writing for video and Xiaohongshu.
Why use it?
It provides structure for developing and adapting content while avoiding invented experiences, figures, conversations, or results.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the kj-skills plugin — 34 skills, 1 command, 1 hook shipped together

Good fit Use it to turn recordings into articles, expand ideas, revise drafts, analyze competitor articles, or adapt writing for video and Xiaohongshu.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chengkj99/kj-skills/content-creator
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add chengkj99/kj-skills --skill content-creator
Clone the repo
git clone --depth 1 https://github.com/chengkj99/kj-skills

Made for: Claude Code, Codex.

Or install kj-skills, the plugin that ships this one along with the rest of its 34 skills, 1 command, 1 hook.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-creator

README.md
[![agentmods](https://agentmods.dev/badge/skills/chengkj99/kj-skills/content-creator/github.svg)](https://agentmods.dev/skills/chengkj99/kj-skills/content-creator)
Your own site
<a href="https://agentmods.dev/skills/chengkj99/kj-skills/content-creator"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/content-creator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for content-creator

Your own site · 80×15
<a href="https://agentmods.dev/skills/chengkj99/kj-skills/content-creator"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/content-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 162 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,015 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00162 $0.04015
Opus 5 $0.00081 $0.02008
Sonnet 5 $0.00032 $0.00803
Haiku 4.5 $0.00016 $0.00402

Measured 11d ago against content hash a0e24ec5a924, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

content-creator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/content-creator/SKILL.md · 261 lines

How it starts

The opening of the file, as written. The whole thing — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.

内容创作者 (Content Creator)

概述

本 Skill 提供一套标准化工作流,基于「AI 编程实战」方法论,从人设、结构、深度拆解到最终封装,全链路支持高质量内容生产

三条铁律,缺一不可:

  1. 真实性铁律:不得为了人设、情绪、戏剧性或说服力补造第一人称经历、故事、对话、耗时、次数、数据、用户反馈或结果。只有用户素材或可追溯来源支持时才能当作真事写;否则改为客观表述、条件句或明确标注的假设示例。
  2. 洞见铁律:每篇文章必须有一个让人「哦,原来如此」的核心洞见。不是整合大众观点,是穿透本质的那一刀。文章没有洞见,写再多也只是热闹。
  3. 人味铁律:真实 > 完美。所有内容必须经过「去AI味」检查,但“人味”只能来自真实立场、具体判断、自然节奏和有证据的亲历,不能靠假故事伪装。

与完整内容闭环的边界

本 Skill 是正文生产引擎:接收已经明确的角度、素材或初稿,完成洞见深化、结构、成稿和封装。

如果用户要求同时完成用户问题调研、已有内容查重、外部证据与时效核验、研究配图、双视角评审、知识沉淀决策和下一篇连载,使用 research-backed-content-loop 作为总控,再由它在正文阶段调用本 Skill。不要把完整内容项目压缩成一次直接起草。


工作流决策树

分析输入类型,选择对应工作流:

  • 录音/转录稿 → 工作流 A(录音转文章)
  • 想法/热点/一句话 → 工作流 B(灵感孵化)
  • 已有文章/初稿 → 工作流 C(文章改编/润色)
  • 文章转视频 → 工作流 D(视频脚本)
  • 文章转小红书 → 工作流 F(小红书矩阵)
  • 竞品文章拆解 → 工作流 E(深度拆解)

所有生成类工作流(A/B/C)结束后,必须执行 Package Phase(封装)。


工作流 A:录音转文章

目标:将口语素材转化为2000字左右、有核心洞见、逻辑严密的专业文章。

阶段一:清洗(Clean)

去除口语冗余、重复、语气词。提炼出原始素材中的核心观点句(每个观点用一句话写下来,为下一阶段准备)。

输出流畅版.md + 一份「核心观点提炼清单」。

阶段二:深度重构(Deep Structure)

这是文章质量的决定性阶段。

  1. 洞见挖掘(必须先做):

    • 从「核心观点提炼清单」中找到最反常识、最有价值的那一个。
    • 问自己:「如果读者没看这篇文章,他们能想到这个结论吗?」如果答案是「能」,说明洞见不够,需要继续挖掘。
    • 参考 references/深度论证框架.md 的「5层深度论证法」,确认洞见深度。
  2. 结构选型:引用 references/文章结构.md,选择最能承载这个洞见的结构模式。

  3. 饱和式论证

    • 每个核心观点必须用「论点 → 案例 → 原理 → 反例 → 结论」五步完整论证。
    • 若素材不足,可以补充逻辑连接、概念解释和明确标注的作者分析;不得补造事实、案例、亲历、引语、数据或结果。需要事实支撑时,先补充可追溯来源或明确标记待核实。
    • 文章必须包含至少一处「颠覆直觉」的分析(读者看到这里会停下来,重新读一遍)。
  4. 文章节奏设计:按照「开场高能 → 中段转折 → 收尾升华」安排能量起伏,避免平铺直叙。

阶段三:洞见质检(Insight QA)⭐️

这是新增的质量关卡,防止「结构正确但内容平庸」。

对文章进行以下逐项检查:

  • 洞见唯一性:文章是否有一个让人「哦!」的核心洞见?这个洞见是否贯穿全文?
  • 论证完整性:每个核心论点是否都有案例+原理+反例的支撑?还是只有结论?
  • 反直觉设计:文章至少有一处「大家以为是X,其实是Y」的反转。有吗?在哪里?
  • 深度检验:把文章的核心观点提炼成一句话,这句话是「描述现象」还是「解释机制」?后者才是真深度。
  • 读者收获感:读完这篇文章,读者能得到一个「以前不知道、现在知道了」的认知升级吗?

如果任何一项回答是「否」,必须回到阶段二继续深化,不能跳过。

阶段四:润色(Refine)

  • 引用 references/人设.mdreferences/金句.md 确认风格调性。
  • 应用「反爹味」原则,加入类比和口语化表达。
  • 执行完整去AI味检查:引用 references/remove-ai-tone-guide.md,检查全部 14 个核心检查项(含新增的洞见真实性和论证完整性检查)。
  • 发现问题,立即修复,修复后再输出。

Read the full file on GitHub · 261 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 261 lines · 162 tokens per session scan A a0e24ec5a924

Subscribe to this mod's changes

content-creator is a skill published in the GitHub repository chengkj99/kj-skills (14 stars, last pushed 10d ago), licensed MIT. It adds 162 tokens to every session and 4,015 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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