MEDDPICC-based deal qualification worksheet — guide Deal through structured qualification of any opportunity and produce a filled card + recommended next action.

MITAuto-check: notesEducation

Install Deal Qualify

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill deal-qualify -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace deal-qualify --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/bundle/revenue-team/skills/deal-qualify .claude/skills/deal-qualify && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
deal-qualify
GitHub stars
2.8k
Token cost
~1.4k tokens
SKILL.md length
392 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

MEDDPICC-based deal qualification worksheet — guide Deal through structured qualification of any opportunity and produce a filled card + recommended next action.

  • Works in 5 steps: Gather Deal Context → Run the MEDDPICC Worksheet → Score the Deal → …
  • Asked to qualify this deal
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Deal Qualify is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Education, covering Educational content. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to qualify this deal
  • Run MEDDPICC on this opportunity
  • Should we pursue this
  • Is this deal real

Example prompts

  • “qualify this deal”
  • “run MEDDPICC on this opportunity”
  • “should we pursue this”
  • “/deal-qualify”

Requirements

  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, AskUserQuestion

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather Deal Context
  2. Run the MEDDPICC Worksheet
  3. Score the Deal
  4. Identify the Critical Gap
  5. Produce the Qualification Card

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Deal Qualify loads about 1.4k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 392 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 392 words, ~1,378 tokens.

Download SKILL.mdSave it as .claude/skills/deal-qualify/SKILL.md (or your agent's skills folder).
name
deal-qualify
description
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".
allowed-tools
Read, Bash, Glob, Grep, AskUserQuestion
version
0.1.0
author
tonone-ai <hello@tonone.ai>
license
MIT

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)?
Show full SKILL.md (163 more words)Show less
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.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/ai-agency/tonone/bundle/revenue-team/skills/deal-qualify of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

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Categories

Questions about Deal Qualify

What does Deal Qualify do?

MEDDPICC-based deal qualification worksheet — guide Deal through structured qualification of any opportunity and produce a filled card + recommended next action. Deal Qualify is an agent skill from jeremylongshore/tons-of-skills-marketplace. MEDDPICC-based deal qualification worksheet — guide Deal through structured qualification of any opportunity and produce a filled card + recommended next action.

When should I use Deal Qualify?

Deal Qualify fits situations like: asked to qualify this deal; run MEDDPICC on this opportunity; should we pursue this; is this deal real.

How do I install Deal Qualify in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deal-qualify -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/bundle/revenue-team/skills/deal-qualify in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/deal-qualify in your project. Claude Code loads it when a task matches its description.

How do I install Deal Qualify in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deal-qualify -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/bundle/revenue-team/skills/deal-qualify in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/deal-qualify in your project. Codex loads it when a task matches its description.

Can I use Deal Qualify in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill deal-qualify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deal-qualify, .gemini/skills/deal-qualify, .github/skills/deal-qualify and .opencode/skills/deal-qualify in your project.

What does Deal Qualify need to run?

SKILL.md names no scripts, command-line tools or credentials: Deal Qualify is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, AskUserQuestion.

Does Deal Qualify access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Deal Qualify safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Deal Qualify use?

Deal Qualify is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deal Qualify use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Deal Qualify?

Skills that share tags, products or a category with Deal Qualify: OpenMAIC Setup and Extension (THU-MAIC/OpenMAIC, 40k stars), Codebase to Course (zarazhangrui/codebase-to-course, 5.7k stars), AI Engineering Project Tutor (rohitg00/ai-engineering-from-scratch, 67k stars) and Hung-Yi Lee Teaching Style (voidful/hung-yi-lee-skill, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deal Qualify?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.