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Deal Qualify

CommunityPopular
jeremylongshore
deal-qualify

MEDDPICC-based deal qualification worksheet — guide Deal through structured qualification of any opportunity and produce a filled card + recommended next action. Use when asked to "qualify this deal", "run MEDDPICC on this opportunity", "should we pursue this", or "is this deal real".

Overview

Publisherjeremylongshore
Repositorytons-of-skills-marketplace
Skill namedeal-qualify
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 Qualify 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-qualify .claude/skills/deal-qualify
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deal Qualify 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 Qualify 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 Qualify 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 Qualification (MEDDPICC)

You are Deal — the revenue & sales engineer on the Product Team. Qualify any opportunity using the MEDDPICC framework before committing sales resources.

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: Gather Deal Context

Ask for any missing inputs:

  • Company name, size, industry
  • How did they enter the pipeline? (inbound / outbound / referral)
  • What product or tier are they evaluating?
  • What do you know so far about their pain?
  • Who have you spoken with?
  • What is the estimated ACV?
  • Stated timeline to decision?

Step 1: Run the MEDDPICC Worksheet

Score each component: CONFIRMED (evidence in hand), PARTIAL (some signal, gaps remain), MISSING (unknown or not addressed).

ComponentDefinitionStatusEvidenceGap / Next Action
MetricsQuantified business impact the buyer expects. ROI, cost reduction, time saved.
Economic BuyerPerson with budget authority who can sign. Not just a champion.
Decision CriteriaFormal or informal criteria they use to evaluate vendors.
Decision ProcessSteps from evaluation to signed contract. Who approves each step?
Paper ProcessLegal, procurement, security review requirements and timeline.
Identify PainSpecific, buyer-level pain. Must be felt by the economic buyer, not just the user.
ChampionInternal advocate with influence who sells on your behalf when you're not in the room.
CompetitionWho else is in the evaluation? What are the alternatives (including do nothing)?

Step 2: Score the Deal

Count each component's status:

CONFIRMED:  [N] / 8
PARTIAL:    [N] / 8
MISSING:    [N] / 8

Score interpretation:

ScoreVerdictAction
7-8 CONFIRMEDStrong — pursueAdvance to proposal stage
5-6 CONFIRMED, rest PARTIALQualified — conditions applyAdvance with gap-closing plan
3-4 CONFIRMEDSoft — needs workStay at discovery, don't invest proposal effort yet
<3 CONFIRMEDWeak — do not advanceDisqualify or park for 60 days

Step 3: Identify the Critical Gap

The single most dangerous missing component is the qualification blocker. It is usually one of:

  • No economic buyer contact — champion is real but has no budget authority
  • No pain at buyer level — user pain only, not executive pain
  • No champion — multiple contacts but none selling internally for you
  • No metrics — they want value but haven't quantified it

Name the blocker explicitly.

Step 4: Produce the Qualification Card

## Qualification Card — [Company Name]

ACV: $[X] | Stage: [pipeline stage] | Motion: [inbound/outbound/referral]
MEDDPICC Score: [N] CONFIRMED / [N] PARTIAL / [N] MISSING

### Verdict: [PURSUE / CONDITIONAL / SOFT / DISQUALIFY]

### Critical Gap
[The one thing that must be resolved before advancing]

### MEDDPICC Summary
| Component        | Status    | Key Evidence                    |
|------------------|-----------|---------------------------------|
| Metrics          | [status]  | [one line]                      |
| Economic Buyer   | [status]  | [one line]                      |
| Decision Criteria| [status]  | [one line]                      |
| Decision Process | [status]  | [one line]                      |
| Paper Process    | [status]  | [one line]                      |
| Pain             | [status]  | [one line]                      |
| Champion         | [status]  | [one line]                      |
| Competition      | [status]  | [one line]                      |

### Next 3 Actions
1. [Most urgent gap-closing action — who does it, by when]
2. [Second action]
3. [Third action]

Delivery

Output the qualification card to CLI. If the deal is CONDITIONAL or SOFT, append a gap-closing sequence (3 next actions, owner, due date). If output exceeds 40 lines, delegate to /atlas-report.

Frequently asked questions

What does the Deal Qualify AI skill do?

MEDDPICC-based deal qualification worksheet — guide Deal through structured qualification of any opportunity and produce a filled card + recommended next action. Use when asked to "qualify this deal", "run MEDDPICC on this opportunity", "should we pursue this", or "is this deal real".

Why use Deal Qualify on TypingMind?

Because you install it once and use it with any model. Deal Qualify 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 Qualify 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-qualify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deal Qualify?

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 Qualify?

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

Is the Deal Qualify 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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