重要前提
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Sales by danielmiessler/personal_ai_infrastructure
npx skills add https://github.com/danielmiessler/personal_ai_infrastructure --skill Sales执行前,请检查用户自定义配置位于: ~/.claude/skills/PAI/USER/SKILLCUSTOMIZATIONS/Sales/
如果此目录存在,则加载并应用其中找到的任何 PREFERENCES.md 文件、配置或资源。这些将覆盖默认行为。如果目录不存在,则使用技能默认设置。
当此技能被调用时,在进行任何其他操作之前,您必须发送此通知。
发送语音通知:
curl -s -X POST http://localhost:8888/notify
-H "Content-Type: application/json"
-d '{"message": "Running the WORKFLOWNAME workflow in the Sales skill to ACTION"}' \
/dev/null 2>&1 &
输出文本通知:
正在运行 Sales 技能中的 WorkflowName 工作流以执行 ACTION...
此步骤不可省略。在技能被调用时立即执行此 curl 命令。
将产品文档转化为引人入胜的销售叙事和视觉资产。
接收技术文档、产品信息或功能描述,并生成:
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
PRODUCT DOCUMENTATION
↓
[1] STORY EXPLANATION — 提取叙事脉络(真正的价值是什么?)
↓
[2] EMOTIONAL REGISTER — 这应该唤起什么感觉?(惊奇、决心、希望等)
↓
[3] VISUAL CONCEPT — 从叙事 + 情感中衍生出场景
↓
[4] GENERATE ASSETS — 创建视觉 + 叙事组合包
↓
SALES-READY OUTPUT
Workflows/Create-sales-package.md完整的处理流程。 接收产品文档并生成:
Workflows/Create-narrative.md仅生成故事。 将技术文档转化为引人入胜的叙事。
Workflows/Create-visual.md仅生成视觉内容。 为现有叙事创建炭笔素描艺术。
输入: 关于 AI 代码审查工具的技术文档
输出:
此技能结合了:
目标: 销售团队获得与其所售产品高度相关、清晰、简洁且有效的材料。
示例 1:从文档生成完整销售组合包
User: "create a sales package for this product" [provides docs]
→ 使用 storyexplanation 提取叙事脉络
→ 确定情感基调(惊奇、决心、希望)
→ 生成炭笔素描视觉 + 叙事 + 谈话要点
示例 2:仅生成销售叙事
User: "turn this technical doc into a sales pitch"
→ 阅读文档并提取价值主张
→ 创建第一人称的 8-24 点故事性解释
→ 返回可用于销售脚本的对话式叙事
示例 3:为现有叙事生成视觉资产
User: "create a visual for this sales story"
→ 分析叙事的情感核心
→ 从故事 + 情感中衍生出场景概念
→ 生成带有透明背景的炭笔手势素描
每周安装量
46
代码仓库
GitHub 星标数
10.7K
首次出现
2026年2月15日
安全审计
安装于
github-copilot45
gemini-cli44
codex44
kimi-cli43
amp43
opencode43
Before executing, check for user customizations at: ~/.claude/skills/PAI/USER/SKILLCUSTOMIZATIONS/Sales/
If this directory exists, load and apply any PREFERENCES.md, configurations, or resources found there. These override default behavior. If the directory does not exist, proceed with skill defaults.
You MUST send this notification BEFORE doing anything else when this skill is invoked.
Send voice notification :
curl -s -X POST http://localhost:8888/notify
-H "Content-Type: application/json"
-d '{"message": "Running the WORKFLOWNAME workflow in the Sales skill to ACTION"}' \
/dev/null 2>&1 &
Output text notification :
Running the WorkflowName workflow in the Sales skill to ACTION...
This is not optional. Execute this curl command immediately upon skill invocation.
Transform product documentation into compelling sales narratives and visual assets.
Takes technical documentation, product information, or feature descriptions and produces:
PRODUCT DOCUMENTATION
↓
[1] STORY EXPLANATION — Extract the narrative arc (what's the real value?)
↓
[2] EMOTIONAL REGISTER — What feeling should this evoke? (wonder, determination, hope, etc.)
↓
[3] VISUAL CONCEPT — Derive scene from narrative + emotion
↓
[4] GENERATE ASSETS — Create visual + narrative package
↓
SALES-READY OUTPUT
Workflows/Create-sales-package.mdThe complete pipeline. Takes product docs and produces:
Workflows/Create-narrative.mdJust the story. Converts technical docs into compelling narrative.
Workflows/Create-visual.mdJust the visual. Creates charcoal sketch art for existing narrative.
Input: Technical documentation about AI code review tool
Output:
This skill combines:
The goal: Sales teams get materials that are highly tied to what they're selling, clear, succinct, and effective.
Example 1: Full sales package from docs
User: "create a sales package for this product" [provides docs]
→ Extracts narrative arc using storyexplanation
→ Determines emotional register (wonder, determination, hope)
→ Generates charcoal sketch visual + narrative + talking points
Example 2: Sales narrative only
User: "turn this technical doc into a sales pitch"
→ Reads documentation and extracts value proposition
→ Creates 8-24 point story explanation in first person
→ Returns conversational narrative ready for sales scripts
Example 3: Visual asset for existing narrative
User: "create a visual for this sales story"
→ Analyzes narrative for emotional core
→ Derives scene concept from story + emotion
→ Generates charcoal gestural sketch with transparent background
Weekly Installs
46
Repository
GitHub Stars
10.7K
First Seen
Feb 15, 2026
Security Audits
Gen Agent Trust HubFailSocketPassSnykWarn
Installed on
github-copilot45
gemini-cli44
codex44
kimi-cli43
amp43
opencode43
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58,500 周安装