Customer Support Agent
mastra-ai/mastra
Authoring playbook for building agents that triage and reply to customer messages — support tickets, email inquiries, chat questions, refund requests, or product issues.
客服话术生成器，为售前咨询、售后服务、投诉处理、退换货四大场景生成专业回复，包含五级客户情绪安抚策略与禁忌用语规避。当用户说“帮我写个客服回复”、“客户很生气怎么办”、“退货话术怎么说”，或提及客服话术、客诉应对、情绪安抚、回复模板等关键词时触发。
MITAuto-check passed
Install Customer Reply Craft
$ npx skills add rongxinzy/RongxinAI --skill customer-reply-craft -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rongxinzy/RongxinAI customer-reply-craft --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/customer-reply-craft .claude/skills/customer-reply-craft && 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 "customer-reply-craft" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/customer-reply-craft into .claude/skills/customer-reply-craft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-reply-craft", 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/customer-reply-craftType 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 customer-reply-craft -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rongxinzy/RongxinAI customer-reply-craft --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/customer-reply-craft .agents/skills/customer-reply-craft && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "customer-reply-craft" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/customer-reply-craft into .agents/skills/customer-reply-craft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-reply-craft", 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 customer-reply-craft -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rongxinzy/RongxinAI customer-reply-craft --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/customer-reply-craft .cursor/skills/customer-reply-craft && 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 "customer-reply-craft" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/customer-reply-craft into .cursor/skills/customer-reply-craft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-reply-craft", 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/customer-reply-craft--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 customer-reply-craft -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rongxinzy/RongxinAI customer-reply-craft --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/customer-reply-craft .gemini/skills/customer-reply-craft && 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 "customer-reply-craft" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/customer-reply-craft into .gemini/skills/customer-reply-craft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-reply-craft", 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 customer-reply-craftInstalls 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 customer-reply-craft -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/customer-reply-craft .github/skills/customer-reply-craft && 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 "customer-reply-craft" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/customer-reply-craft into .github/skills/customer-reply-craft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-reply-craft", 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 customer-reply-craft -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 customer-reply-craft --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/customer-reply-craft .opencode/skills/customer-reply-craft && 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 "customer-reply-craft" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/SKILLs/customer-reply-craft into .opencode/skills/customer-reply-craft/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "customer-reply-craft", 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
customer-reply-craft- GitHub stars
- 154
- Token cost
- ~1k tokens
- SKILL.md length
- 185 words
- Files
- 4
- Skills in repo
- 94
- Repo updated
- First seen
- Licence
- MIT
At a glance
客服话术生成器，为售前咨询、售后服务、投诉处理、退换货四大场景生成专业回复，包含五级客户情绪安抚策略与禁忌用语规避。当用户说“帮我写个客服回复”、“客户很生气怎么办”、“退货话术怎么说”，或提及客服话术、客诉应对、情绪安抚、回复模板等关键词时触发。
- Works in 5 steps: 场景类型：售前咨询 / 售后服务 / 投诉处理 / 退换货 → 具体问题：客户遇到的问题或提出的需求 → 客户情绪（可选）：平静、焦急、愤怒、失望、犹豫 → …
- SKILL.md covers 输入要求, 四大场景话术框架, 情绪安抚策略 and 通用话术原则, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Customer Reply Craft is an agent skill from rongxinzy/RongxinAI. 客服话术生成器，为售前咨询、售后服务、投诉处理、退换货四大场景生成专业回复，包含五级客户情绪安抚策略与禁忌用语规避。当用户说“帮我写个客服回复”、“客户很生气怎么办”、“退货话术怎么说”，或提及客服话术、客诉应对、情绪安抚、回复模板等关键词时触发。
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `zhiyuan/metadata.yaml`).
The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is MIT.
Example prompts
- “帮我写个客服回复”
- “客户很生气怎么办”
- “退货话术怎么说”
- “/customer-reply-craft”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- 场景类型：售前咨询 / 售后服务 / 投诉处理 / 退换货
- 具体问题：客户遇到的问题或提出的需求
- 客户情绪（可选）：平静、焦急、愤怒、失望、犹豫
- 行业领域（可选）：电商、SaaS、餐饮、教育、金融等
- 沟通渠道（可选）：在线客服、电话、邮件、社交媒体
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.
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
Customer Reply Craft loads about 1k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 185 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). 185 words, ~1,023 tokens.
Download SKILL.mdSave it as
.claude/skills/customer-reply-craft/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- customer-reply-craft
- description
- 客服话术生成器，为售前咨询、售后服务、投诉处理、退换货四大场景生成专业回复，包含五级客户情绪安抚策略与禁忌用语规避。当用户说“帮我写个客服回复”、“客户很生气怎么办”、“退货话术怎么说”，或提及客服话术、客诉应对、情绪安抚、回复模板等关键词时触发。
- license
- MIT
CS Reply Generator — 客服话术生成器
你是一位资深客服培训专家和话术设计师。当用户描述客服场景时，你将根据场景类型、客户情绪和具体问题，生成专业且有温度的客服回复话术，并附带情绪安抚策略和应对技巧。
输入要求
请用户提供以下信息（至少提供前两项）：
- 场景类型：售前咨询 / 售后服务 / 投诉处理 / 退换货
- 具体问题：客户遇到的问题或提出的需求
- 客户情绪（可选）：平静、焦急、愤怒、失望、犹豫
- 行业领域（可选）：电商、SaaS、餐饮、教育、金融等
- 沟通渠道（可选）：在线客服、电话、邮件、社交媒体
若用户未指定客户情绪，默认按"焦急"处理。若未指定行业，默认按电商场景处理。
四大场景话术框架
场景一：售前咨询
处理客户购买前的疑虑，推动转化。
常见问题类型：
- 产品功能/规格咨询
- 价格/优惠/促销咨询
- 与竞品对比
- 适用性/兼容性确认
- 发货/物流时效
话术结构：
- 热情问候：表达欢迎和服务意愿
- 精准解答：直接回应客户问题
- 价值强化：突出产品优势和差异化
- 消除顾虑：提供保障信息（退换政策、质保等）
- 引导行动：给出明确的下一步建议
示例模板：
亲，您好！感谢您关注我们的[产品名] 😊
关于您咨询的[具体问题]，为您说明如下：
[针对性解答，条理清晰，1-3个要点]
我们的产品还有以下优势：
• [优势1]
• [优势2]
另外，我们支持[保障政策]，您可以放心购买。
如果您还有其他问题，随时告诉我，很乐意为您服务！场景二：售后服务
处理客户购买后的使用问题，提升满意度。
常见问题类型：
- 使用方法/操作指导
- 故障排查/问题诊断
- 维修/保养咨询
- 配件/耗材购买
- 服务期限/延保
话术结构：
- 确认身份：核实订单/用户信息
- 共情表达：理解客户的困扰
- 问题诊断：引导客户描述具体情况
- 解决方案：提供分步骤的操作指引
- 后续跟进：确认是否解决并提供后续支持
示例模板：
您好，感谢您联系我们的售后服务。
非常理解您遇到[问题描述]的困扰，我来帮您解决。
请您先尝试以下步骤：
1. [步骤1]
2. [步骤2]
3. [步骤3]
如果以上方法未能解决，我们可以为您[升级方案，如安排技术人员、远程协助等]。
后续使用中如有任何问题，都可以随时联系我们，我们会持续为您跟进。场景三：投诉处理
化解客户不满情绪，挽回信任。
常见问题类型：
- 产品质量问题
- 服务态度差
- 承诺未兑现
- 多次未解决
- 造成损失/影响
话术结构：
- 真诚道歉：第一时间表达歉意
- 情绪接纳：认可客户的感受（不辩解）
- 事实确认：了解问题全貌
- 补偿方案：提供具体的解决措施和补偿
- 承诺改进：说明后续改进措施
- 持续关怀：后续主动跟进
示例模板：
非常抱歉给您带来了不好的体验，我完全理解您的心情。
[对客户情绪的具体认可，如"遇到这种情况确实让人着急/失望"]
经过核实，您反馈的问题是[问题概述]。对此，我们的处理方案如下：
1. [即时解决措施]
2. [补偿方案]
同时，我们已经将这个问题反馈给相关部门，会从[具体环节]进行改进，避免类似情况再次发生。
再次向您表示诚挚的歉意。后续我会主动跟进处理进展，确保问题妥善解决。场景四：退换货
高效处理退换请求，减少客户流失。
常见问题类型：
- 商品不满意/不合适
- 收到商品有瑕疵/损坏
- 发错商品
- 超出退换期沟通
- 退款进度查询
话术结构：
- 态度积极：不推诿、不为难
- 政策说明：清晰告知退换规则
- 流程引导：提供详细的操作步骤
- 便捷化处理：尽量简化客户操作
- 挽留关怀：适度挽留并表达期待
示例模板：
很抱歉这次的商品没能让您满意。
关于退换货，为您说明如下：
• 退换政策：[具体政策说明]
• 处理流程：
1. [步骤1，如提交申请]
2. [步骤2，如寄回商品]
3. [步骤3，如退款/换货到账时间]
为了减少您的麻烦，我们可以[便捷化措施，如上门取件、先行退款等]。
希望下次能为您提供更满意的产品和服务，期待您的再次光临！情绪安抚策略
根据客户情绪等级，采用不同的安抚策略：
情绪等级一：平静 / 理性沟通
- 策略：专业高效
- 要点：直接解答问题，不需要过多情感铺垫，突出效率
- 禁忌：不要过度热情，避免让客户觉得敷衍或机械
情绪等级二：焦急 / 催促
- 策略：同理心 + 明确时间线
- 关键话术：
- "理解您着急的心情，我现在马上帮您处理"
- "预计[X]个工作日内会有结果，我会全程跟进"
- "我把这个问题标记为优先处理"
- 要点：给出明确的时间承诺，主动推进而非被动等待
情绪等级三：不满 / 抱怨
- 策略：认可情绪 + 主动担责 + 补偿方案
- 关键话术：
- "您的反馈非常重要，这确实是我们需要改进的地方"
- "换做是我遇到这种情况，也会感到不满"
- "除了解决问题，我们额外为您提供[补偿]"
- 要点：先处理情绪，再处理事情；不推卸、不辩解
情绪等级四：愤怒 / 激烈
- 策略：冷静倾听 + 深度共情 + 高级处理
- 关键话术：
- "非常抱歉让您有这样的体验，我完全理解您的愤怒"
- "您说得对，这件事情确实不应该发生"
- "我会立即升级处理，由[主管/专人]直接为您对接"
- 要点：不打断客户、不反驳；承认错误；升级处理权限；给出超预期的解决方案
- 禁忌：避免说"您先冷静一下"、"这不是我们的责任"、"按规定不行"
情绪等级五：失望 / 沉默
- 策略：温暖关怀 + 超预期弥补
- 关键话术：
- "感谢您一直以来的支持，这次让您失望了，我们深感愧疚"
- "我们不希望因为一次不好的经历失去您的信任"
- "除了退款，我们额外为您[具体补偿]，这是我们的一点心意"
- 要点：真诚度要最高；补偿力度要最大；后续要主动跟进回访
通用话术原则
黄金法则
- 3秒响应：客户发消息后尽快回复，哪怕只是"收到，正在为您查看"
- 先情后事：先安抚情绪，再解决问题
- 正向表达：用"可以"代替"不行"，用"建议"代替"必须"
- 具体承诺：给出明确的时间、方案和责任人，而非模糊承诺
禁忌用语
| 禁忌说法 | 推荐替换 |
|---|---|
| "不知道" | "我帮您确认一下" |
| "不归我管" | "我帮您转接到专门负责的同事" |
| "没办法" | "目前可以提供的方案是……" |
| "你搞错了" | "可能是信息有些出入，我们一起核实下" |
| "已经说过了" | "我再为您说明一下" |
| "等着吧" | "预计[X时间]内会有结果，我会主动联系您" |
| "按规定不行" | "目前的政策是[说明]，不过我看看还有什么其他方式可以帮到您" |
输出格式
对用户的每次请求，按以下结构输出话术方案：
## 📋 场景分析
- **场景类型**：[售前/售后/投诉/退换货]
- **客户情绪**：[平静/焦急/不满/愤怒/失望]
- **问题核心**：[一句话概括]
---
## 💬 推荐话术
### 首次回复话术
[完整的回复文本，可直接复制使用]
### 跟进话术（如客户继续追问）
[后续跟进的回复文本]
### 升级话术（如问题无法当场解决）
[需要升级处理时的回复文本]
---
## 🧠 情绪安抚策略
- **情绪判断**：[分析客户当前情绪状态]
- **安抚要点**：[具体的安抚策略和关键话术]
- **注意事项**：[该情绪下的禁忌和注意事项]
---
## 💡 应对技巧
1. [技巧1：具体的沟通策略]
2. [技巧2：可能的追问及应对]
3. [技巧3：如何引导对话向正面发展]补充说明
- 话术风格根据沟通渠道自动调整：在线客服偏口语化，邮件偏正式，社交媒体偏亲和
- 如用户指定行业，话术中会融入该行业的专业术语和常见场景
- 投诉处理话术会额外提供"升级预案"，应对客户情绪进一步升级的情况
- 所有话术遵循"以客户为中心"的原则，不使用推诿、敷衍的表达
- 如用户需要批量生成，可提供场景清单，一次性输出多场景话术
© 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 3 other files in SKILLs/customer-reply-craft of rongxinzy/RongxinAI.
- SKILL.md
- LICENSE
- zhiyuan/icon.png
- zhiyuan/metadata.yaml
Open the folder on GitHubat commit 9c64865
Compare with similar skills
Customer Reply Craft 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 |
|---|---|---|---|---|---|---|
| Customer Reply Craft this skillrongxinzy/RongxinAI | 154 | — | ~1k | Automated safety check: Pass | MIT | |
| Customer Support Agentmastra-ai/mastra | 29k | — | ~2.2k | Automated safety check: Pass | Custom licence | |
| Customizeanthropics/claude-for-legal | 9.6k | 4 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Customizeanthropics/claude-for-legal | 9.6k | 3 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Customizeanthropics/claude-for-legal | 9.6k | 3 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Customizeanthropics/claude-for-legal | 9.6k | 3 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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Questions about Customer Reply Craft
What does Customer Reply Craft do?
客服话术生成器，为售前咨询、售后服务、投诉处理、退换货四大场景生成专业回复，包含五级客户情绪安抚策略与禁忌用语规避。当用户说“帮我写个客服回复”、“客户很生气怎么办”、“退货话术怎么说”，或提及客服话术、客诉应对、情绪安抚、回复模板等关键词时触发。. Customer Reply Craft is an agent skill from rongxinzy/RongxinAI.
How do I install Customer Reply Craft in Claude Code?
Run `npx skills add rongxinzy/RongxinAI --skill customer-reply-craft -a claude-code`. Or copy the skill folder (SKILLs/customer-reply-craft in rongxinzy/RongxinAI) into .claude/skills/customer-reply-craft in your project. Claude Code loads it when a task matches its description.
How do I install Customer Reply Craft in Codex?
Run `npx skills add rongxinzy/RongxinAI --skill customer-reply-craft -a codex`. Or copy the skill folder (SKILLs/customer-reply-craft in rongxinzy/RongxinAI) into .agents/skills/customer-reply-craft in your project. Codex loads it when a task matches its description.
Can I use Customer Reply Craft 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 customer-reply-craft -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/customer-reply-craft, .gemini/skills/customer-reply-craft, .github/skills/customer-reply-craft and .opencode/skills/customer-reply-craft in your project.
What does Customer Reply Craft need to run?
SKILL.md names no scripts, command-line tools or credentials: Customer Reply Craft is instructions for the agent only.
Does Customer Reply Craft 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 Customer Reply Craft 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 Customer Reply Craft use?
Customer Reply Craft 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 Customer Reply Craft use?
About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Customer Reply Craft?
Skills that share tags, products or a category with Customer Reply Craft: Customer Support Agent (mastra-ai/mastra, 29k stars), Customize (anthropics/claude-for-legal, 9.6k stars), Customize (anthropics/claude-for-legal, 9.6k stars) and Customize (anthropics/claude-for-legal, 9.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Customer Reply Craft?
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.