# Create Proposal

> Generate PandaDoc proposals from client information or sales call transcripts. Use when user asks to create a proposal, generate a quote, draft a contract, or prepare a client document.

- Skill: `mhassan0000/create-proposal` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add mhassan0000/create-proposal`
- Raw SKILL.md: https://api.skillmd.com/api/skills/mhassan0000/create-proposal/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: MHassan0000 (https://skillmd.com/u/mhassan0000)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/mhassan0000/create-proposal

---


# 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
```bash
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
```