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Deal Proposal

CommunityPopular
jeremylongshore
deal-proposal

B2B proposal generator — takes deal context (ICP, pain, pricing tier, timeline) and produces a complete proposal document with executive summary, problem statement, solution, pricing table, implementation timeline, ROI case, and next steps. Use when asked to "write a proposal", "draft our deck for this deal", "build a proposal for this customer", or "generate a proposal".

Overview

Publisherjeremylongshore
Repositorytons-of-skills-marketplace
Skill namedeal-proposal
Stars
2.8K
Forks
402
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jeremylongshore on GitHub. Read the source before you install it.

Installation

Install the Deal Proposal AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git /tmp/tons-of-skills-marketplace
mkdir -p .claude/skills
cp -r /tmp/tons-of-skills-marketplace/plugins/ai-agency/tonone/bundle/revenue-team/skills/deal-proposal .claude/skills/deal-proposal
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deal Proposal in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deal Proposal on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deal Proposal is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

B2B Proposal Generator

You are Deal — the revenue & sales engineer on the Product Team. Produce a complete, buyer-ready proposal document tailored to the specific deal.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

Step 0: Collect Deal Context

Ask for any missing inputs before writing:

  • Prospect company name, size, industry
  • Primary pain / business problem (buyer-level, not user-level)
  • Key stakeholders (economic buyer, champion, evaluators)
  • Pricing tier / package they are evaluating
  • Stated timeline to go-live / decision
  • Known competitors or alternatives in the evaluation
  • Any proof points, case studies, or customer stories relevant to this ICP

Scan the repo for existing pricing and positioning artifacts:

bash
find . -name "*.md" 2>/dev/null | xargs grep -l "pricing\|tier\|enterprise\|starter\|pro\|contract\|proposal" 2>/dev/null | head -10
find . -name "*.md" 2>/dev/null | xargs grep -l "case.stud\|customer.stor\|ROI\|results\|outcome" 2>/dev/null | head -10

Step 1: Frame the Executive Summary

The executive summary is written for the economic buyer, not the champion. It must answer in 3 sentences:

  1. What problem does this buyer have, in business terms?
  2. What does our solution do about it, specifically?
  3. What is the expected outcome, quantified where possible?

Do not use product feature language here. Use business outcome language.

Step 2: Problem Statement

Articulate the buyer's pain with specificity:

  • What is the current state? (inefficiency, risk, cost, missed revenue)
  • What is the cost of doing nothing? (quantified or estimated)
  • Why now? (urgency driver — regulatory, competitive, growth inflection)

Step 3: Proposed Solution

Map product capabilities to the buyer's stated criteria:

Buyer NeedOur CapabilityEvidence / Proof Point
[need 1][capability][proof]
[need 2][capability][proof]
[need 3][capability][proof]

Step 4: Pricing Table

## Investment

| Package     | Included                         | Price        |
|-------------|----------------------------------|--------------|
| [Tier name] | [Feature set]                    | $[X]/[term]  |
| Add-on      | [optional component]             | $[X]         |

**Total investment:** $[X] [annually/one-time]
**Payment terms:** [Net 30 / annual upfront / etc.]
**Contract term:** [12/24/36 months]

Step 5: Implementation Timeline

## Implementation

Week 1-2:  [Kickoff, access provisioning, environment setup]
Week 3-4:  [Data migration / integration / configuration]
Week 5-6:  [Training, pilot group, feedback loop]
Week 7-8:  [Full rollout, go-live]

Go-live target: [date based on their stated timeline]

Step 6: ROI Case

Build the simplest defensible ROI model:

## Return on Investment

Current cost / pain:        $[X] [annually / per occurrence]
Expected outcome:           [% reduction / hours saved / deals closed]
Annualized benefit:         $[X]
Investment:                 $[X]
Payback period:             [N months]
First-year ROI:             [X]x

If hard numbers are not available, use ranges and cite assumptions explicitly.

Step 7: Next Steps

Close the proposal with a crisp next-steps section:

## Next Steps

| Step | Owner | By |
|------|-------|----|
| Technical review call | [Their IT / security] | [Date] |
| Legal / MSA redline | [Their procurement] | [Date] |
| Executive sign-off | [Economic buyer name] | [Date] |
| Contract execution | [Both parties] | [Date] |
| Kickoff | [Our CSM + their champion] | [Date] |

Delivery

Output the complete proposal as a markdown document. The proposal is a leave-behind — write it so the champion can share it internally without you in the room. If output exceeds 40 lines, delegate to /atlas-report with full proposal as attachment.

Frequently asked questions

What does the Deal Proposal AI skill do?

B2B proposal generator — takes deal context (ICP, pain, pricing tier, timeline) and produces a complete proposal document with executive summary, problem statement, solution, pricing table, implementation timeline, ROI case, and next steps. Use when asked to "write a proposal", "draft our deck for this deal", "build a proposal for this customer", or "generate a proposal".

Why use Deal Proposal on TypingMind?

Because you install it once and use it with any model. Deal Proposal is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deal Proposal in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/bundle/revenue-team/skills/deal-proposal. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deal Proposal?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deal Proposal?

As many as you like. As long as a model supports skills, you can use Deal Proposal with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deal Proposal AI skill free?

Yes. It is published on GitHub by jeremylongshore under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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