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create-proposal创建提案

Agent Skill

create-proposal 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

329

周安装

14

GitHub Stars

9

下载量

115
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:create-proposal(创建提案)
来源仓库:https://github.com/aiagentwithdhruv/skills
仓库路径:skills/create-proposal
安装命令:
npx skills add https://github.com/aiagentwithdhruv/skills --skill create-proposal
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/aiagentwithdhruv/skills --skill create-proposal

简介

生成 PandaDoc 提案,支持结构化数据或销售通话转录。

  • 适用于客户提案创建和商务流程自动化。create-proposal 属于待分类类 Skill,可作为该场景下的辅助能力补充。
  • 从通话中提取关键信息并映射到标准提案模板。
  • 安装需确认 PandaDoc API 配置和脚本依赖项。
  • 输出为草稿形式,需经人工审核后发送给客户。

SKILL.md

Proposal Generation

Goal

Create PandaDoc proposals for clients, either from structured information or by extracting details from sales call transcripts.

Inputs (One of the following)

Option A: Structured Data

  • Client First Name, Last Name, Email, Company
  • Project Title
  • 4 Key Problems (brief)
  • 4 Key Benefits (brief)
  • Project Duration
  • Investment Breakdown (Month 1, Month 2, Month 3+)

Option B: Call Transcript

  • Sales call transcript to extract all details from

Scripts

  • ./scripts/create_proposal.py - Creates PandaDoc proposal via API
  • ./scripts/read_sheet.py - Read client data from sheets if needed

Process

1. Gather Information

  • If user provides structured data, use directly
  • If user provides transcript, extract:

- Client info (name, company, email) - Project context and title - 4 main problems/pain points - 4 proposed solutions/benefits - Financial terms (duration, value, costs)

  • Ask for any missing critical information

2. Generate Content

Expand the 4 problems and 4 benefits into strategic paragraphs:

Problem Expansion Guidelines:

  • Use direct "you" language (not third-person)
  • Focus on revenue impact and dollar amounts
  • Be specific and actionable
  • Example: "Right now, your top-of-funnel is converting very poorly to booked meetings..."

Benefit Expansion Guidelines:

  • Address the client directly
  • Emphasize ROI and payback period
  • Focus on concrete deliverables

Also generate:

  • Slide Footer: "Confidential | [Company] Strategic Initiative | [Date]"
  • Contract Footer: "[Company]-[ProjectTitle]-[YYYY-MM]"
  • Created Date: Current date (YYYY-MM-DD)

3. Execute Proposal Creation

python3 ./scripts/create_proposal.py <<'EOF'
{
  "client": {
    "firstName": "...",
    "lastName": "...",
    "email": "...",
    "company": "..."
  },
  "project": {
    "title": "...",
    "problems": {
      "problem01": "[Expanded Problem 1]",
      "problem02": "[Expanded Problem 2]",
      "problem03": "[Expanded Problem 3]",
      "problem04": "[Expanded Problem 4]"
    },
    "benefits": {
      "benefit01": "[Expanded Benefit 1]",
      "benefit02": "[Expanded Benefit 2]",
      "benefit03": "[Expanded Benefit 3]",
      "benefit04": "[Expanded Benefit 4]"
    },
    "monthOneInvestment": "...",
    "monthTwoInvestment": "...",
    "monthThreeInvestment": "..."
  },
  "generated": {
    "slideFooter": "...",
    "contractFooterSlug": "...",
    "createdDate": "..."
  }
}
EOF

4. Send Follow-Up Email

Use Gmail to send HTML follow-up email:

  • Subject: "Re: [Brief Project Context] Discussion"
  • Opening: Thank them for discussing challenges
  • Body: 2-4 numbered sections with bold headers
  • Each section: Description + "Steps:" bullet points
  • Closing: "I'll send you a full proposal shortly..."
  • Signature: "Thanks, Nick"

5. Notify User

  • Provide the PandaDoc "internalLink" for review
  • Confirm follow-up email was sent

Output

  • PandaDoc proposal URL (for editing/review)
  • Follow-up email sent to client

Environment

Requires in .env:

PANDADOC_API_KEY=your_key

Schema

Inputs

NameTypeRequiredDescription
client_first_namestringYesClient first name
client_last_namestringYesClient last name
client_emailstringYesClient email address
client_companystringYesClient company name
project_titlestringYesProject title
problemsarrayYes4 key problems (brief)
benefitsarrayYes4 key benefits (brief)
investment_breakdownobjectYesMonth 1, Month 2, Month 3+ pricing
call_transcriptstringNoAlternative: sales call transcript to extract details from

Outputs

NameTypeDescription
pandadoc_urlstringPandaDoc internal link for review
email_sentbooleanWhether follow-up email was sent

Credentials

NameSource
PANDADOC_API_KEY.env

Composable With

Skills that chain well with this one: onboarding-kickoff, welcome-email

Cost

PandaDoc API call (free tier available)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.08%
按下载量换算39

Claude

33.27%
按下载量换算38

Cursor

17.78%
按下载量换算20

Gemini CLI

10.26%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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