Ads Copywriter
claude-office-skills/skills
Multi-platform ad copy generation for Google Ads, Meta/Facebook, TikTok, LinkedIn with A/B testing variants
广告创意写作与优化技能，覆盖标题、描述、正文及完整广告方案的生成与迭代，适用于Google Ads、Meta、LinkedIn、TikTok、Twitter/X等主流付费广告平台。当用户需要撰写广告文案、进行创意生成、标题撰写，或请求批量生产广告变体、基于数据进行创意测试与效果优化时触发。
Install Ad Copywriter
$ npx skills add rongxinzy/RongxinAI --skill ad-copywriter -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rongxinzy/RongxinAI ad-copywriter --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SKILLs/ad-copywriter .claude/skills/ad-copywriter && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ad-copywriter" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/ad-copywriter into .claude/skills/ad-copywriter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-copywriter", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/ad-copywriterType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add rongxinzy/RongxinAI --skill ad-copywriter -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rongxinzy/RongxinAI ad-copywriter --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SKILLs/ad-copywriter .agents/skills/ad-copywriter && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ad-copywriter" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/ad-copywriter into .agents/skills/ad-copywriter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-copywriter", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rongxinzy/RongxinAI --skill ad-copywriter -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rongxinzy/RongxinAI ad-copywriter --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SKILLs/ad-copywriter .cursor/skills/ad-copywriter && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ad-copywriter" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/ad-copywriter into .cursor/skills/ad-copywriter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-copywriter", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/rongxinzy/RongxinAI.git --path SKILLs/ad-copywriter--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add rongxinzy/RongxinAI --skill ad-copywriter -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rongxinzy/RongxinAI ad-copywriter --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SKILLs/ad-copywriter .gemini/skills/ad-copywriter && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ad-copywriter" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/ad-copywriter into .gemini/skills/ad-copywriter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-copywriter", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install rongxinzy/RongxinAI ad-copywriterInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add rongxinzy/RongxinAI --skill ad-copywriter -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .github/skills && cp -r skills-src/SKILLs/ad-copywriter .github/skills/ad-copywriter && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ad-copywriter" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/ad-copywriter into .github/skills/ad-copywriter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-copywriter", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rongxinzy/RongxinAI --skill ad-copywriter -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rongxinzy/RongxinAI ad-copywriter --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SKILLs/ad-copywriter .opencode/skills/ad-copywriter && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ad-copywriter" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/ad-copywriter into .opencode/skills/ad-copywriter/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ad-copywriter", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ad-copywriter- GitHub stars
- 154
- Token cost
- ~1.4k tokens
- SKILL.md length
- 298 words
- Files
- 6 (incl. references)
- Skills in repo
- 94
- Repo updated
- First seen
- Licence
- MIT
At a glance
广告创意写作与优化技能，覆盖标题、描述、正文及完整广告方案的生成与迭代，适用于Google Ads、Meta、LinkedIn、TikTok、Twitter/X等主流付费广告平台。当用户需要撰写广告文案、进行创意生成、标题撰写，或请求批量生产广告变体、基于数据进行创意测试与效果优化时触发。
- Works in 8 steps: 平台与格式 → 产品与卖点 → 受众与意图 → …
- Tasks that involve Paid advertising
- SKILL.md covers 开始之前, 工作模式, 平台规格 and 广告视觉素材生成, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ad Copywriter is an agent skill from rongxinzy/RongxinAI. 广告创意写作与优化技能，覆盖标题、描述、正文及完整广告方案的生成与迭代，适用于Google Ads、Meta、LinkedIn、TikTok、Twitter/X等主流付费广告平台。当用户需要撰写广告文案、进行创意生成、标题撰写，或请求批量生产广告变体、基于数据进行创意测试与效果优化时触发。
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/generative-tools.md`, `references/platform-specs.md` and `zhiyuan/metadata.yaml`).
It sits in Marketing & SEO, covering Paid advertising and Copywriting. It works with Google Ads, LinkedIn, TikTok and X (Twitter). The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is MIT.
When your agent uses it
- Tasks that involve Paid advertising
- Tasks that involve Copywriting
Example prompts
- “/ad-copywriter”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 9c64865. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are csv).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ad Copywriter loads about 1.4k tokens when it runs, and up to ~7.8k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 298 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from rongxinzy/RongxinAI at commit 9c64865, republished under its MIT licence (© rongxinzy). 298 words, ~1,381 tokens.
Download SKILL.mdSave it as
.claude/skills/ad-copywriter/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- ad-copywriter
- description
- 广告创意写作与优化技能，覆盖标题、描述、正文及完整广告方案的生成与迭代，适用于Google Ads、Meta、LinkedIn、TikTok、Twitter/X等主流付费广告平台。当用户需要撰写广告文案、进行创意生成、标题撰写，或请求批量生产广告变体、基于数据进行创意测试与效果优化时触发。
- license
- MIT
- metadata.version
- 1.1.0
广告创意
你是一名资深的效果广告创意策略师。你的目标是大规模生成高转化的广告创意——标题、描述和正文，驱动点击和转化——并根据真实投放数据进行迭代优化。
开始之前
收集以下信息（如果用户未提供，请主动询问）：
1. 平台与格式
- 投放平台？（Google Ads、Meta、LinkedIn、TikTok、Twitter/X）
- 广告格式？（搜索自适应广告RSA、展示广告、信息流、快拍/Stories、视频）
- 是否有现有广告需要迭代，还是从零开始？
2. 产品与卖点
- 推广什么？（产品、功能、免费试用、演示、引流物料）
- 核心价值主张是什么？
- 与竞品相比有何差异化优势？
3. 受众与意图
- 目标受众是谁？
- 处于什么认知阶段？（问题感知、方案感知、产品感知）
- 什么痛点或需求在驱动他们？
4. 投放数据（迭代时）
- 当前在跑哪些素材？
- 哪些标题/描述表现最好？（点击率CTR、转化率、ROAS）
- 哪些表现不佳？
- 已测试过哪些角度或主题？
5. 限制条件
- 品牌调性指南或禁用词？
- 合规要求？（行业法规、平台政策）
- 必须包含的元素？（品牌名、商标符号、免责声明）
工作模式
本技能支持两种模式：
模式一：从零创建
全新开始时，基于产品信息、受众洞察和平台最佳实践，生成一整套广告创意。
模式二：数据驱动迭代
当用户提供投放数据（CSV、粘贴文本或 API 导出）时，分析哪些素材有效，识别高转化素材的共性，生成新变体——既延伸优胜主题，又探索新角度。
核心循环：
拉取投放数据 → 识别优胜模式 → 生成新变体 → 校验规格 → 交付平台规格
平台会拒绝或截断超出字符限制的素材，因此交付前务必验证每条文案是否符合规格。
Google Ads（自适应搜索广告）
| 元素 | 限制 | 数量 |
|---|---|---|
| 标题 | 30字符 | 最多15条 |
| 描述 | 90字符 | 最多4条 |
| 显示URL路径 | 每段15字符 | 2段 |
RSA 规则：
- 标题必须能独立使用，且任意组合都合理
- 仅在必要时固定标题位置（固定会降低系统优化空间）
- 至少包含一条关键词导向标题
- 至少包含一条利益点导向标题
- 至少包含一条行动号召（CTA）标题
Meta 广告（Facebook/Instagram）
| 元素 | 限制 | 说明 |
|---|---|---|
| 正文 | 可见125字符（最多2,200） | 开头部分最关键 |
| 标题 | 建议40字符 | 图片下方 |
| 描述 | 建议30字符 | 标题下方 |
| 显示链接 | 40字符 | 可选 |
LinkedIn 广告
| 元素 | 限制 | 说明 |
|---|---|---|
| 引言文本 | 建议150字符（最多600） | 图片上方 |
| 标题 | 建议70字符（最多200） | 图片下方 |
| 描述 | 建议100字符（最多300） | 部分版位展示 |
TikTok 广告
| 元素 | 限制 | 说明 |
|---|---|---|
| 广告文案 | 建议80字符（最多100） | 视频上方 |
| 展示名称 | 40字符 | 品牌名 |
Twitter/X 广告
| 元素 | 限制 | 说明 |
|---|---|---|
| 推文文本 | 280字符 | 广告文案 |
| 标题 | 70字符 | 卡片标题 |
| 描述 | 200字符 | 卡片描述 |
详细规格和格式变体参见 references/platform-specs.md。
广告视觉素材生成
图片和视频广告素材可使用 AI 生成工具和代码化视频渲染。完整指南参见 references/generative-tools.md，涵盖：
- 图片生成 — Flux、Ideogram 等工具，用于静态广告图片
- 视频生成 — Veo、Kling、Runway、Seedance、Higgsfield 等工具，用于视频广告
- 语音与音频 — ElevenLabs、Cartesia 等，用于配音、声音克隆、多语言
- 代码化视频 — Remotion，用于模板化、数据驱动的大规模视频
- 平台图片规格 — 各广告版位的正确尺寸
- 成本对比 — 100+广告变体在各工具上的定价
规模化生产推荐流程：
- 用 AI 工具生成主力创意（探索性、高质量）
- 基于优胜模式构建 Remotion 模板
- 用 Remotion 配合数据批量生产变体
- 持续迭代——AI 探索新角度，Remotion 实现规模化
广告文案生成
第一步：确定切入角度
在撰写单条标题之前，先建立3-5个不同的切入角度——用户点击的不同动机。每个角度应触及不同的心理驱动因素。
常见角度分类：
| 类别 | 角度示例 |
|---|---|
| 痛点 | "别再把时间浪费在X上" |
| 结果 | "Y天内实现Z" |
| 社会认同 | "加入10,000+团队的行列…" |
| 好奇心 | "顶尖公司都在用的X秘诀" |
| 对比 | "不同于X，我们做到了Y" |
| 紧迫感 | "限时福利：免费获取X" |
| 身份认同 | "专为[特定角色/人群]打造" |
| 反常识 | "为什么[常见做法]行不通" |
第二步：针对每个角度生成变体
针对每个角度生成多个变体。变化维度：
- 用词 — 同义词、主动语态 vs. 被动语态
- 具体程度 — 数字 vs. 笼统说法
- 语气 — 直述 vs. 提问 vs. 祈使
- 结构 — 短促有力 vs. 完整利益陈述
第三步：校验规格
交付前，逐条检查所有素材是否符合平台字符限制。标记超限内容，并提供精简后的替代版本。
第四步：按上传格式整理
以与广告平台上传要求对应的结构化格式呈现素材。
基于投放数据迭代
当用户提供投放数据时，按以下流程操作：
第一步：分析优胜素材
查看表现最好的素材（按点击率CTR、转化率或ROAS——先确认用户最关注哪个指标），识别：
- 优胜主题 — 高转化素材涉及哪些话题或痛点？
- 优胜结构 — 疑问句？陈述句？祈使句？数字？
- 优胜用词 — 反复出现的特定词汇或短语？
- 字符利用率 — 高转化素材偏短还是偏长？
第二步：分析低效素材
查看表现最差的素材，识别：
- 无效主题 — 哪些角度没有引起共鸣？
- 低转化共性 — 太笼统？太长？语气不对？
第三步：生成新变体
创建新素材：
- 强化 优胜主题，换用新的表达方式
- 延伸 优胜角度为新的变体
- 测试 1-2个尚未探索的新角度
- 规避 低转化素材中发现的模式
第四步：记录迭代过程
跟踪每次迭代的发现和测试内容：
## 迭代日志
- 轮次：[编号]
- 日期：[日期]
- 高转化素材：[列表及指标]
- 优胜模式：[总结]
- 新变体：[数量] 条标题，[数量] 条描述
- 新测试角度：[列表]
- 淘汰角度：[列表]文案质量标准
高点击标题
好的标题：
- 具体（"报表时间缩短75%"）优于笼统（"节省时间"）
- 利益点（"更快上线代码"）优于功能点（"CI/CD流水线"）
- 主动语态（"自动生成你的报表"）优于被动语态（"报表被自动生成"）
- 尽量包含数字（"快3倍"、"5分钟内"、"10,000+团队"）
避免：
- 受众不认识的行业术语
- 没有具体支撑的空洞声明（"最好的"、"领先的"、"顶级的"）
- 全大写或过多标点
- 落地页无法兑现的标题党
高转化描述
描述应补充标题，而非重复标题。描述可用于：
- 添加证据（数字、用户证言、奖项）
- 消除顾虑（"无需信用卡"、"小团队永久免费"）
- 强化行动号召（"今天就开始免费试用"）
- 在真实的前提下营造紧迫感（"限前500名注册用户"）
输出格式
标准输出
按角度组织，附字符数：
## 角度：[痛点 — 手动报表]
### 标题（30字符上限）
1. "Stop Building Reports by Hand" (29)
2. "Automate Your Weekly Reports" (28)
3. "Reports Done in 5 Min, Not 5 Hr" (31) <- 超限，精简版如下
-> "Reports in 5 Min, Not 5 Hrs" (27)
### 描述（90字符上限）
1. "Marketing teams save 10+ hours/week with automated reporting. Start free." (73)
2. "Connect your data sources once. Get automated reports forever. No code required." (80)批量CSV输出
大规模生成（10+变体）时，提供CSV格式以便直接上传：
headline_1,headline_2,headline_3,description_1,description_2,platform
"Stop Manual Reporting","Automate in 5 Minutes","Join 10K+ Teams","Save 10+ hrs/week on reports. Start free.","Connect data sources once. Reports forever.","google_ads"迭代报告
迭代时附带总结：
## 效果总结
- 分析素材数：[X] 条标题，[Y] 条描述
- 最佳素材："[标题]" — [指标]：[数值]
- 最差素材："[标题]" — [指标]：[数值]
- 规律：[发现]
## 新素材
[分类整理的变体]
## 建议
- [暂停什么、放量什么、下一步测试什么]批量生成工作流
大规模广告创意生产（每轮生成100+变体）：
1. 拆分子任务
- 标题生成 — 聚焦提升点击率
- 描述生成 — 聚焦提升转化率
- 正文生成 — 聚焦提升互动率（Meta/LinkedIn）
2. 分批生成
- 第一批：核心角度（3-5个角度，每个5条变体）
- 第二批：针对表现最好的2个角度扩展变体
- 第三批：探索性角度（反常识、情感驱动、高度具体）
3. 质量过滤
- 移除超出字符限制的内容
- 移除重复或高度相似的内容
- 标记可能违反平台政策的内容
- 确保标题/描述组合搭配合理
常见错误
- 标题只在组合中才合理 — RSA标题会被随机组合展示
- 忽视字符限制 — 平台会无提示截断
- 变体千篇一律 — 要变角度，而不只是换措辞
- 缺少CTA标题 — RSA需要行动导向的标题来驱动点击；至少包含2-3条
- 描述过于笼统 — "了解更多关于我们的解决方案"浪费了展示位
- 凭直觉迭代 — 直觉不如数据可靠
- 一次测试太多变量 — 每轮测试只改一个变量
- 过早淘汰素材 — 至少积累1,000+次展示再下结论
工作流：分析与生成
1. 拉取近期广告投放数据（从广告平台导出或仪表盘获取）
2. 分析数据（识别高转化/低转化素材）
3. 将优胜模式输入本技能
4. 生成新变体
5. 上传至广告平台© rongxinzy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (references) in SKILLs/ad-copywriter of rongxinzy/RongxinAI.
- SKILL.md
- LICENSE
- references/generative-tools.md
- references/platform-specs.md
- zhiyuan/icon.png
- zhiyuan/metadata.yaml
Open the folder on GitHubat commit 9c64865
Compare with similar skills
Ad Copywriter next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ad Copywriter this skillrongxinzy/RongxinAI | 154 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Ads Copywriterclaude-office-skills/skills | 505 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Ad Creativeborghei/Claude-Skills | 891 | — | ~5.6k | Automated safety check: Pass | MIT | |
| Apify Ads Intelligenceapify/awesome-skills | 266 | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | |
| Ad Copy Generatornicepkg/ai-workflow | 285 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Ad Creativecoreyhaines31/marketingskills | 54k | — | ~6.3k | Automated safety check: Pass | MIT |
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Questions about Ad Copywriter
What does Ad Copywriter do?
广告创意写作与优化技能，覆盖标题、描述、正文及完整广告方案的生成与迭代，适用于Google Ads、Meta、LinkedIn、TikTok、Twitter/X等主流付费广告平台。当用户需要撰写广告文案、进行创意生成、标题撰写，或请求批量生产广告变体、基于数据进行创意测试与效果优化时触发。. Ad Copywriter is an agent skill from rongxinzy/RongxinAI.
When should I use Ad Copywriter?
Ad Copywriter fits situations like: tasks that involve Paid advertising; tasks that involve Copywriting.
How do I install Ad Copywriter in Claude Code?
Run `npx skills add rongxinzy/RongxinAI --skill ad-copywriter -a claude-code`. Or copy the skill folder (SKILLs/ad-copywriter in rongxinzy/RongxinAI) into .claude/skills/ad-copywriter in your project. Claude Code loads it when a task matches its description.
How do I install Ad Copywriter in Codex?
Run `npx skills add rongxinzy/RongxinAI --skill ad-copywriter -a codex`. Or copy the skill folder (SKILLs/ad-copywriter in rongxinzy/RongxinAI) into .agents/skills/ad-copywriter in your project. Codex loads it when a task matches its description.
Can I use Ad Copywriter in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rongxinzy/RongxinAI --skill ad-copywriter -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ad-copywriter, .gemini/skills/ad-copywriter, .github/skills/ad-copywriter and .opencode/skills/ad-copywriter in your project.
What does Ad Copywriter need to run?
SKILL.md names no scripts, command-line tools or credentials: Ad Copywriter is instructions for the agent only.
Does Ad Copywriter access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ad Copywriter safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Ad Copywriter use?
Ad Copywriter is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ad Copywriter use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.4k tokens, read only when the agent opens those files.
What are the alternatives to Ad Copywriter?
Skills that share tags, products or a category with Ad Copywriter: Ads Copywriter (claude-office-skills/skills, 505 stars), Ad Creative (borghei/Claude-Skills, 891 stars), Apify Ads Intelligence (apify/awesome-skills, 266 stars) and Ad Copy Generator (nicepkg/ai-workflow, 285 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ad Copywriter?
rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.
Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.