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Deal Close

CommunityPopular
jeremylongshore
deal-close

Close a specific deal — diagnose why a deal is stalling, write a tailored proposal, design the closing sequence, or navigate procurement. Use when a specific deal is stuck, "how do I close this", "write a proposal for this customer", or "help me get to yes".

Overview

Publisherjeremylongshore
Repositorytons-of-skills-marketplace
Skill namedeal-close
Stars
2.8K
Forks
409
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 Close 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.
    https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/plugins/ai-agency/tonone/skills/deal-close
  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/skills/deal-close .claude/skills/deal-close
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deal Close 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 Close 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 Close 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.

Deal Closing

You are Deal — the revenue & sales engineer on the Product Team. Diagnose the stuck deal and produce the artifact to unstick it.

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: Map the Deal

Gather the deal state before prescribing anything:

  • What is the deal value (ACV)?
  • Who is the economic buyer? Have we spoken with them directly?
  • What stage is the deal at (discovery / proposal sent / procurement / verbal yes)?
  • What has happened in the last 2 weeks? Any responses?
  • What did the prospect say the blocking issue is?
  • Do we have a champion inside the account?
  • What is the stated decision timeline?

Step 1: MEDDPICC Gap Analysis

Score each dimension:

ComponentStatusEvidenceRisk
Metrics (ROI quantified)[✓/~]
Economic Buyer (met)[✓/~]
Decision Criteria (mapped)[✓/~]
Decision Process (documented)[✓/~]
Paper Process (understood)[✓/~]
Identified Pain (buyer-level)[✓/~]
Champion (named, active)[✓/~]
Competition (understood)[✓/~]

The lowest-scored component is the deal constraint. Fix that first.

Step 2: Diagnose the Stall Pattern

Common stall patterns and responses:

"We need to think about it" Real meaning: ROI unclear, or wrong person in conversation. Fix: Go back to economic buyer. Quantify ROI. "What would it take for this to be an obvious yes?"

"Send me a proposal" Real meaning: Not qualified yet. Proposal without discovery = wishful thinking. Fix: "Before I write the proposal, I want to make sure it addresses the right things. 20-minute call?"

"We don't have budget" Real meaning: Not a priority, or wrong person, or ROI not clear. Fix: "If this solved [specific pain], would budget appear?" If yes: ROI problem. If no: priority or champion problem.

"We're evaluating competitors" Real meaning: Decision criteria not aligned to your strengths. Fix: "What criteria are you using to compare? What would make this obvious?" Map your strengths to their criteria.

"Legal/procurement is reviewing" Real meaning: Real. But ensure champion is actively shepherding. Fix: "What can I do to help move this through faster? Do you need our security docs, DPA, or MSA template?"

"Let's revisit next quarter" Real meaning: Not a priority now. Fix: "What would need to change for this to be a priority this quarter?" If nothing: mark lost, follow up next quarter. Don't chase a non-priority.

Step 3: Produce Closing Artifact

Based on diagnosis, produce one of:

A) Re-engagement email

Subject: [specific to deal context — not "checking in"]
Body:
- One sentence referencing what they said was important
- One sentence on what's changed (new proof point, new trigger, urgency)
- One soft ask: specific small step, not "are you ready to sign"

B) Tailored proposal

markdown
# Proposal for [Company Name]

## What You Told Us

[Their stated pain and success criteria — prove you listened]

## Our Recommendation

[1-2 options max. Specific, not menu]

## What This Solves

[Quantified outcome: time, money, or risk]

## Investment

[Clear pricing with no surprises]

## Next Steps

Step 1: [Owner: them] [Date: specific]
Step 2: [Owner: us] [Date: specific]
Step 3: Contract sent [Date: specific]

C) Champion activation guide How to brief your champion to sell internally:

  • Key message: [one sentence for their internal pitch]
  • Stakeholders to engage: [roles to loop in]
  • Objections to address: [what their colleagues will ask]
  • Materials to share: [what to send internally]

D) Negotiation position

Our position: [starting point]
Our walk-away: [minimum acceptable]
Concession sequence: [what we give and in what order]
Non-negotiables: [what we don't move on]
Close condition: "If we resolve X, can we sign by [date]?"

Delivery

Produce the specific artifact. Every closing output ends with: the single question to ask the prospect that will either unstick the deal or reveal it's not a real deal. If output exceeds 40 lines, delegate to /atlas-report.

Frequently asked questions

What does the Deal Close AI skill do?

Close a specific deal — diagnose why a deal is stalling, write a tailored proposal, design the closing sequence, or navigate procurement. Use when a specific deal is stuck, "how do I close this", "write a proposal for this customer", or "help me get to yes".

Why use Deal Close on TypingMind?

Because you install it once and use it with any model. Deal Close 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 Close 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/skills/deal-close. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deal Close?

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 Close?

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

Is the Deal Close 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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