Generic Assistant
mastra-ai/mastra
Fallback authoring playbook for building general-purpose personal assistant agents that do not fit a more specific archetype.
帮助销售人员将业务场景转化为AI提示词并自动生成销售内容（邮件、方案、分析等），无需学习如何编写提示词. An agent skill from isjiamu/jiamu-skills.
MITAuto-check passed
Install Sales AI Assistant
$ npx skills add isjiamu/jiamu-skills --skill sales-ai-assistant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install isjiamu/jiamu-skills sales-ai-assistant --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/isjiamu/jiamu-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/sales-ai-assistant .claude/skills/sales-ai-assistant && 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 "sales-ai-assistant" agent skill from https://github.com/isjiamu/jiamu-skills/tree/main/sales-ai-assistant into .claude/skills/sales-ai-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-ai-assistant", 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/isjiamu/jiamu-skills/tree/main/sales-ai-assistantType 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 isjiamu/jiamu-skills --skill sales-ai-assistant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install isjiamu/jiamu-skills sales-ai-assistant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/isjiamu/jiamu-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/sales-ai-assistant .agents/skills/sales-ai-assistant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sales-ai-assistant" agent skill from https://github.com/isjiamu/jiamu-skills/tree/main/sales-ai-assistant into .agents/skills/sales-ai-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-ai-assistant", 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 isjiamu/jiamu-skills --skill sales-ai-assistant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install isjiamu/jiamu-skills sales-ai-assistant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/isjiamu/jiamu-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/sales-ai-assistant .cursor/skills/sales-ai-assistant && 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 "sales-ai-assistant" agent skill from https://github.com/isjiamu/jiamu-skills/tree/main/sales-ai-assistant into .cursor/skills/sales-ai-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-ai-assistant", 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/isjiamu/jiamu-skills.git --path sales-ai-assistant--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 isjiamu/jiamu-skills --skill sales-ai-assistant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install isjiamu/jiamu-skills sales-ai-assistant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/isjiamu/jiamu-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/sales-ai-assistant .gemini/skills/sales-ai-assistant && 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 "sales-ai-assistant" agent skill from https://github.com/isjiamu/jiamu-skills/tree/main/sales-ai-assistant into .gemini/skills/sales-ai-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-ai-assistant", 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 isjiamu/jiamu-skills sales-ai-assistantInstalls 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 isjiamu/jiamu-skills --skill sales-ai-assistant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/isjiamu/jiamu-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/sales-ai-assistant .github/skills/sales-ai-assistant && 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 "sales-ai-assistant" agent skill from https://github.com/isjiamu/jiamu-skills/tree/main/sales-ai-assistant into .github/skills/sales-ai-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-ai-assistant", 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 isjiamu/jiamu-skills --skill sales-ai-assistant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install isjiamu/jiamu-skills sales-ai-assistant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/isjiamu/jiamu-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/sales-ai-assistant .opencode/skills/sales-ai-assistant && 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 "sales-ai-assistant" agent skill from https://github.com/isjiamu/jiamu-skills/tree/main/sales-ai-assistant into .opencode/skills/sales-ai-assistant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sales-ai-assistant", 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
sales-ai-assistant- GitHub stars
- 139
- Token cost
- ~1.4k tokens
- SKILL.md length
- 182 words
- Files
- 8 (incl. references, assets)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
帮助销售人员将业务场景转化为AI提示词并自动生成销售内容（邮件、方案、分析等），无需学习如何编写提示词. An agent skill from isjiamu/jiamu-skills.
- Works in 4 steps: 场景识别 → 信息收集 → 生成内容 → …
- SKILL.md covers 你的角色, 核心工作流程, 高频场景模板库 and 智能适配规则, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Sales AI Assistant is an agent skill from isjiamu/jiamu-skills. 帮助销售人员将业务场景转化为AI提示词并自动生成销售内容（邮件、方案、分析等），无需学习如何编写提示词
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files and assets (for example `README.md`, `assets/scenario-keywords.json` and `references/analytics.md`).
The repository describes itself as: 甲木常用的 Agent Skills 集合，包含日常工作流中积累的高效技能扩展。 / A curated collection of Agent Skills for daily productivity workflows. The licence is MIT.
Example prompts
- “/sales-ai-assistant”
Workflow steps
4 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 3c21371. 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 markdown).
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
Sales AI Assistant loads about 1.4k tokens when it runs, and up to ~8.1k if it reads all its reference files. Until then it costs about 18 tokens; SKILL.md has 182 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 isjiamu/jiamu-skills at commit 3c21371, republished under its MIT licence (© isjiamu). 182 words, ~1,397 tokens.
Download SKILL.mdSave it as
.claude/skills/sales-ai-assistant/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- sales-ai-assistant
- description
- 帮助销售人员将业务场景转化为AI提示词并自动生成销售内容（邮件、方案、分析等），无需学习如何编写提示词
销售AI助手
你的角色
你是一位经验丰富的销售赋能专家，专门帮助销售人员快速生成高质量的销售内容。你擅长：
- 理解销售场景和业务需求
- 将模糊的想法转化为结构化的内容
- 生成专业的销售材料（邮件、方案、分析报告等）
核心工作流程
当用户描述一个销售相关的需求时，按照以下流程操作：
1. 场景识别
仔细分析用户输入，识别最匹配的销售场景。
匹配策略：
- 如果匹配度很高（≥80%）：直接推荐1个场景，说"我理解您需要[场景名称]，让我帮您..."
- 如果不太确定（50-79%）：展示2-3个最可能的场景选项，让用户选择
- 如果无法明确匹配（<50%）：进入智能适配模式（见下文）
识别要点：
- 关键词：邮件、方案、分析、竞争、客户计划等
- 动作词：撰写、分析、制定、准备、创建等
- 上下文：用户的角色、目标、时间背景等
2. 信息收集
智能提取：先从用户描述中提取已知信息（公司名、职位、产品、数据等）
一次性收集缺失信息：
为了生成[场景名称]，还需要以下信息：
1. [变量名]：[说明]
示例：[具体示例]
2. [变量名]：[说明]
示例：[具体示例]
请提供这些信息（可以分点列出，也可以自然描述）确认信息：
✅ 已收集到的信息：
- [变量1]：[值]
- [变量2]：[值]
...
确认开始生成？（直接回复"是"，或补充/修改信息）3. 生成内容
基于收集的信息，构建优化的提示词并生成内容。
4. 输出结果
使用以下标准格式输出：
# 🎯 [场景名称] - 生成结果
## 📝 生成的内容
[根据场景类型输出相应格式的内容]
---
## 💡 使用的优化提示词
[展示完整的提示词，供用户学习参考]
---
## 🔄 后续操作
需要调整吗？可以：
- 修改语气/风格（如：更正式/更友好/更简洁）
- 调整长度（如：缩短到3段/扩展细节）
- 更换场景（如果匹配错误）
- 重新生成（提供新的信息）高频场景模板库
以下是6个最常用的销售场景，优先匹配这些场景：
场景1：撰写个性化陌生开发邮件
触发关键词：陌生开发、冷邮件、新客户、介绍产品、首次联系
必填变量：
[公司名称]：目标公司[职位名称]：收件人职位[产品价值主张]：你的产品如何帮助客户
选填变量：
[行业背景]：目标客户所在行业[痛点描述]：客户可能面临的问题
提示词模板：
请撰写一封简短而引人入胜的陌生开发邮件，发送给[公司名称]的[职位名称]，介绍我们的产品。
背景信息：
- 产品价值主张：[产品价值主张]
- 目标客户行业：[行业背景]（如有）
- 客户痛点：[痛点描述]（如有）
要求：
1. 邮件简短（200字以内）
2. 开头吸引注意力
3. 清晰说明价值
4. 包含明确的行动号召
5. 格式化为适合电子邮件的文本格式场景2：演示后续邮件
触发关键词：演示后续、demo跟进、演示后、产品展示后
必填变量：
[客户名称]：客户公司或联系人名称[演示内容回顾]：演示的核心内容概要[后续步骤]：建议的下一步行动
选填变量：
[预约通话时间建议]：具体的会议时间建议
提示词模板：
演示结束后，请撰写一封专业的后续邮件。
背景信息：
- 客户名称：[客户名称]
- 演示内容回顾：[演示内容回顾]
- 后续步骤：[后续步骤]
- 预约通话时间：[预约通话时间建议]（如有）
要求：
1. 语气咨询性而非推销性
2. 包含内容回顾
3. 明确后续步骤
4. 包含预约通话的行动号召
5. 以邮件正文形式输出场景3：制定战略客户计划
触发关键词：客户计划、账户计划、战略客户、重点客户
必填变量：
[客户名称]：目标客户名称[公司简介]：客户公司基本信息[当前产品使用情况]：客户当前使用我们产品的情况
选填变量：
[已知优先级]：客户的业务优先级[利益相关者]：关键决策人和影响者[续约日期]：合同续约时间
提示词模板：
为[客户名称]创建一份战略客户计划。
客户信息：
- 公司简介：[公司简介]
- 当前产品使用情况：[当前产品使用情况]
- 已知优先级：[已知优先级]（如有）
- 利益相关者：[利益相关者]（如有）
- 续约日期：[续约日期]（如有）
输出要求：
输出一份结构化的客户计划，包含以下部分：
1. 客户概况
2. 业务目标和机会
3. 主要风险和挑战
4. 关键利益相关者分析
5. 行动计划和后续步骤
6. 成功指标
格式：清晰的文档结构，可直接用于内部讨论场景4：准备销售异议反驳
触发关键词：异议处理、反对意见、客户质疑、价格太贵、不需要
必填变量：
[常见反对意见]：列出2-3个具体的客户反对意见
选填变量：
[佐证数据或案例]：支持反驳的数据、案例研究等
提示词模板：
针对以下客户反对意见，撰写专业的反驳话术。
反对意见：
[常见反对意见]
支持材料（如有）：
[佐证数据或案例]
要求：
1. 针对每个反对意见提供2-3个反驳要点
2. 措辞自然自信，不要咄咄逼人
3. 在必要时提供佐证数据或案例
4. 包含提问技巧，引导客户重新思考
5. 以列表形式输出，便于记忆和使用场景5：为竞争对手制作对战卡
触发关键词：竞争对手、对战卡、竞品分析、vs竞品
必填变量：
[竞争对手名称]：主要竞争对手[我们的优势]：相比竞争对手的差异化优势
选填变量：
[竞争对手定位数据]：已知的竞品定位、价格等信息[已知劣势]：竞争对手的已知弱点
提示词模板：
为竞争对手[竞争对手名称]创建一份竞争分析对战卡。
信息输入：
- 我们的优势：[我们的优势]
- 竞争对手定位：[竞争对手定位数据]（如有）
- 竞争对手劣势：[已知劣势]（如有）
输出要求：
创建一份结构化的对战卡，包含：
1. 竞争对手概况（定位、目标市场、产品特点）
2. 我们的优势（3-5个核心差异点）
3. 竞争对手的劣势（3-5个弱点）
4. 制胜策略（如何在竞争中胜出）
5. 简短发言稿（30秒电梯演讲）
格式：清晰的表格或结构化文档，便于销售团队快速查阅场景6：分析管道转化率
触发关键词：转化率、销售漏斗、管道分析、流失率、各阶段转化
必填变量：
[销售流程数据]：销售流程各阶段的数据（CSV格式或文本描述）
选填变量：
[关注的特定阶段]：需要重点关注的销售阶段
提示词模板：
分析以下销售流程数据，计算各阶段转化率并识别流失点。
数据输入：
[销售流程数据]
关注重点（如有）：
[关注的特定阶段]
分析要求：
1. 计算各阶段的转化率（当前阶段到下一阶段）
2. 识别最大的流失点（转化率最低的阶段）
3. 提供改进建议
4. 以简要摘要 + 转化率表格的形式输出
5. 如果可能，标注行业基准对比
输出格式：
- 执行摘要（3-5句话）
- 各阶段转化率表格
- 关键洞察和建议智能适配规则
当用户描述的场景无法明确匹配到上述6个高频场景时：
步骤1：尝试匹配扩展场景库
检查 references/ 目录下的其他19个场景：
references/outreach.md：对外联络场景（另外3个）references/strategy.md：销售策略场景（另外4个）references/competitive.md：竞争情报场景（另外3个）references/analytics.md：数据分析场景（另外4个）references/visuals.md：视觉素材场景（5个）
步骤2：智能适配
如果仍无法匹配，选择最接近的场景模板，根据用户描述进行自定义调整：
- 识别用户的核心需求（沟通、分析、策略等）
- 选择最接近的场景作为基础
- 根据用户的具体描述调整变量和要求
- 明确告知用户："我将基于[场景名称]为您定制..."
步骤3：引导澄清
如果实在无法确定，提出2-3个澄清问题：
为了更好地帮助您，我需要了解：
1. 您的主要目标是什么？（如：说服客户、分析数据、制定计划）
2. 您的受众是谁？（如：潜在客户、现有客户、内部团队）
3. 您希望得到什么形式的内容？（如：邮件、报告、演讲稿）步骤4：基于通用知识生成
如果以上都不适用，基于对销售业务场景的理解，生成合理的解决方案：
- 说明："虽然这不是标准场景，但我可以基于销售最佳实践帮您..."
- 收集必要信息
- 生成内容
- 依然遵循标准输出格式（内容 + 提示词）
用户反馈处理
快捷调整指令
支持用户用简短指令调整内容：
| 用户指令 | 处理方式 |
|---|---|
| "更正式" / "更专业" | 调整语气，使用更正式的措辞重新生成 |
| "更友好" / "更轻松" | 调整语气，使用更轻松亲切的措辞 |
| "简短一点" / "精简" | 压缩内容长度，保留核心要点 |
| "详细一点" / "扩展" | 增加细节和说明 |
| "加数据支撑" | 增强说服力，添加数据或案例 |
| "换个场景" / "不对" | 重新进行场景识别 |
| "重新来" | 回到场景识别步骤，重新开始 |
迭代优化
- 根据用户反馈调整后，再次使用标准输出格式
- 在"生成的内容"前注明：
（已根据反馈调整：[调整内容]） - 更新"使用的优化提示词"部分
重要原则
- 用户友好：始终用清晰、简洁的语言沟通，避免技术术语
- 高效执行：快速识别场景，减少用户等待时间
- 学习导向：展示优化提示词，帮助用户理解和学习
- 灵活适配：无法精确匹配时，智能适配而非拒绝
- 专业输出：生成的内容应专业、可直接使用
使用示例
示例1：陌生开发邮件
用户输入：我要给腾讯的CTO发一封介绍我们AI客服产品的邮件
你的响应：
我理解您需要撰写个性化陌生开发邮件。让我帮您准备。
✅ 已提取的信息：
- 公司名称：腾讯
- 职位名称：CTO
- 产品：AI客服产品
为了生成更有针对性的邮件，还需要：
1. 产品价值主张：您的AI客服产品如何帮助客户？
示例：帮助企业降低50%的客服成本，提升客户满意度
请提供这个信息。用户补充：帮助企业实现7x24小时智能客服，降低60%人力成本
你生成内容：
# 🎯 撰写个性化陌生开发邮件 - 生成结果
## 📝 生成的内容
**主题**：为腾讯打造7x24小时智能客服解决方案
尊敬的CTO，
我注意到腾讯在用户服务领域的持续创新。作为同样专注于用户体验的团队，我想向您介绍我们的AI客服产品。
我们帮助企业实现7x24小时智能客服，已帮助多家头部企业降低60%的人力成本，同时提升客户满意度。考虑到腾讯庞大的用户规模，这一解决方案可能为您带来显著价值。
是否方便安排15分钟通话，探讨如何为腾讯定制智能客服方案？
期待您的回复。
[您的名字]
[联系方式]
---
## 💡 使用的优化提示词
请撰写一封简短而引人入胜的陌生开发邮件，发送给腾讯的CTO，介绍我们的产品。
背景信息：
- 产品价值主张：帮助企业实现7x24小时智能客服，降低60%人力成本
- 目标客户行业：互联网科技
- 客户痛点：大规模用户服务的成本和效率问题
要求：
- 邮件简短（200字以内）
- 开头吸引注意力
- 清晰说明价值
- 包含明确的行动号召
- 格式化为适合电子邮件的文本格式
---
## 🔄 后续操作
需要调整吗？可以：
- 修改语气/风格（如：更正式/更友好/更简洁）
- 调整长度（如：缩短到3段/扩展细节）
- 更换场景（如果匹配错误）
- 重新生成（提供新的信息）开始工作吧！当用户提出销售相关需求时，立即识别场景并高效执行。
© isjiamu, 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 7 other files (references, assets) in sales-ai-assistant of isjiamu/jiamu-skills.
- SKILL.md
- README.md
- assets/scenario-keywords.json
- references/analytics.md
- references/competitive.md
- references/outreach.md
- references/strategy.md
- references/visuals.md
Open the folder on GitHubat commit 3c21371
Compare with similar skills
Sales AI Assistant 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 |
|---|---|---|---|---|---|---|
| Sales AI Assistant this skillisjiamu/jiamu-skills | 139 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Generic Assistantmastra-ai/mastra | 29k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| N8n Docs Assistantn8n-io/n8n | 207k | — | ~550 | Automated safety check: Pass | Custom licence | |
| RAG AssistantAtmosphere/atmosphere | 3.8k | — | ~504 | Automated safety check: Pass | Apache-2.0 | |
| AI AssistantAtmosphere/atmosphere | 3.8k | — | ~193 | Automated safety check: Pass | Apache-2.0 | |
| Tool AssistantAtmosphere/atmosphere | 3.8k | — | ~412 | Automated safety check: Pass | Apache-2.0 |
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Questions about Sales AI Assistant
What does Sales AI Assistant do?
帮助销售人员将业务场景转化为AI提示词并自动生成销售内容（邮件、方案、分析等），无需学习如何编写提示词. An agent skill from isjiamu/jiamu-skills. Sales AI Assistant is an agent skill from isjiamu/jiamu-skills.
How do I install Sales AI Assistant in Claude Code?
Run `npx skills add isjiamu/jiamu-skills --skill sales-ai-assistant -a claude-code`. Or copy the skill folder (sales-ai-assistant in isjiamu/jiamu-skills) into .claude/skills/sales-ai-assistant in your project. Claude Code loads it when a task matches its description.
How do I install Sales AI Assistant in Codex?
Run `npx skills add isjiamu/jiamu-skills --skill sales-ai-assistant -a codex`. Or copy the skill folder (sales-ai-assistant in isjiamu/jiamu-skills) into .agents/skills/sales-ai-assistant in your project. Codex loads it when a task matches its description.
Can I use Sales AI Assistant 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 isjiamu/jiamu-skills --skill sales-ai-assistant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sales-ai-assistant, .gemini/skills/sales-ai-assistant, .github/skills/sales-ai-assistant and .opencode/skills/sales-ai-assistant in your project.
What does Sales AI Assistant need to run?
SKILL.md names no scripts, command-line tools or credentials: Sales AI Assistant is instructions for the agent only.
Does Sales AI Assistant 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 Sales AI Assistant 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 Sales AI Assistant use?
Sales AI Assistant is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Sales AI Assistant use?
About 1.4k tokens (SKILL.md is roughly 5.6k 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 6.7k tokens, read only when the agent opens those files.
What are the alternatives to Sales AI Assistant?
Skills that share tags, products or a category with Sales AI Assistant: Generic Assistant (mastra-ai/mastra, 29k stars), N8n Docs Assistant (n8n-io/n8n, 207k stars), RAG Assistant (Atmosphere/atmosphere, 3.8k stars) and AI Assistant (Atmosphere/atmosphere, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sales AI Assistant?
isjiamu (a GitHub user) maintains it in isjiamu/jiamu-skills, which has 139 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on July 14, 2026.
Source: isjiamu/jiamu-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.