Close a specific deal — diagnose why a deal is stalling, write a tailored proposal, design the closing sequence, or navigate procurement.

MITAuto-check: notesBusiness, Finance & HR

Install Deal Close

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace deal-close --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/skills/deal-close .claude/skills/deal-close && 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-close
GitHub stars
2.8k
Token cost
~1.2k tokens
SKILL.md length
473 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Close a specific deal — diagnose why a deal is stalling, write a tailored proposal, design the closing sequence, or navigate procurement.

  • Works in 4 steps: Map the Deal → MEDDPICC Gap Analysis → Diagnose the Stall Pattern → …
  • A specific deal is stuck
  • SKILL.md covers Steps and Delivery
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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

Its SKILL.md is about 1.2k 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 Business, Finance & HR, covering Vendor and procurement management. 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

  • A specific deal is stuck
  • How do I close this
  • Write a proposal for this customer
  • Help me get to yes

Example prompts

  • “how do I close this”
  • “write a proposal for this customer”
  • “help me get to yes”
  • “/deal-close”

Requirements

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

Workflow steps

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

  1. Map the Deal
  2. MEDDPICC Gap Analysis
  3. Diagnose the Stall Pattern
  4. Produce Closing Artifact

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 (its code samples are markdown).

    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 Close loads about 1.2k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 473 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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). 473 words, ~1,213 tokens.

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

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.

Show full SKILL.md (169 more words)Show less

"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.

© 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/skills/deal-close of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Deal Close next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Deal Close compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deal Close this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.2kAutomated safety check: NotesMIT
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Scorecard Matrixpnp/sharepoint-skills133—~1.9kAutomated safety check: PassMIT
Oma Imagefirst-fluke/oh-my-agent1.3k—~2kAutomated safety check: PassMIT
Buyer Job Intent Analysiselvisun/newsjack1.5k—~1.4kAutomated safety check: PassMIT
Master Builderibuilder/massing122—~2.6kAutomated safety check: PassMIT

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Questions about Deal Close

What does Deal Close do?

Close a specific deal — diagnose why a deal is stalling, write a tailored proposal, design the closing sequence, or navigate procurement. Deal Close is an agent skill from jeremylongshore/tons-of-skills-marketplace. Close a specific deal — diagnose why a deal is stalling, write a tailored proposal, design the closing sequence, or navigate procurement.

When should I use Deal Close?

Deal Close fits situations like: A specific deal is stuck; how do I close this; write a proposal for this customer; help me get to yes.

How do I install Deal Close in Claude Code?

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

How do I install Deal Close in Codex?

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

Can I use Deal Close 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-close -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-close, .gemini/skills/deal-close, .github/skills/deal-close and .opencode/skills/deal-close in your project.

What does Deal Close need to run?

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

Does Deal Close 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 Close 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 Close use?

Deal Close 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 Close use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Close?

Skills that share tags, products or a category with Deal Close: Serenity Alpha (haskaomni/serenity-skill, 633 stars), Scorecard Matrix (pnp/sharepoint-skills, 133 stars), Oma Image (first-fluke/oh-my-agent, 1.3k stars) and Buyer Job Intent Analysis (elvisun/newsjack, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deal Close?

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.