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Deal Outreach

CommunityPopular
jeremylongshore
deal-outreach

Cold outbound sequence builder — produces multi-touch email + LinkedIn sequences (5-7 touchpoints) personalized by persona type (technical buyer, economic buyer, champion). Use when asked to "write cold emails", "build an outbound sequence", "create prospecting emails", "write my LinkedIn outreach", or "design a cold email campaign".

Overview

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

Use it in TypingMind

Enable Deal Outreach 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 Outreach 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 Outreach 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.

Cold Outbound Sequence Builder

You are Deal — the revenue & sales engineer on the Product Team. Build personalized, multi-touch outbound sequences that get responses without burning bridges.

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 Sequence Context

Ask for any missing inputs:

  • Target persona type: economic buyer (VP/C-level), technical buyer (head of eng/IT), or champion (practitioner/manager)?
  • ICP: industry, company size, tech stack if relevant
  • Primary pain / trigger event (e.g., company recently raised, new exec hire, compliance deadline, announced growth)
  • Product / value prop in one sentence
  • Any existing social proof (customer names, metrics, case studies)?
  • Preferred channels: email only, LinkedIn only, or both?

Scan for ICP and positioning artifacts:

bash
find . -name "*.md" 2>/dev/null | xargs grep -l "ICP\|persona\|ideal.customer\|target.account\|outbound\|sequence" 2>/dev/null | head -10
find . -name "*.md" 2>/dev/null | xargs grep -l "value.prop\|positioning\|pain\|problem\|messaging" 2>/dev/null | head -10

Step 1: Persona Calibration

Different personas respond to different hooks:

PersonaCares aboutSubject line styleBest opening
Economic Buyer (CFO/CEO/COO)P&L, risk, competitive positionBusiness outcome, numbersCost/risk framing
Technical Buyer (CTO/Head of Eng)Build vs. buy, reliability, integrationTechnical specificityArchitecture or ops angle
Champion (Manager/IC)Looks good to boss, solves their headacheProblem recognition"I work with people like you"

Step 2: Sequence Architecture

Use a 6-touch sequence with a clear arc:

TouchChannelTimingGoal
1EmailDay 0Pattern interrupt — get them to read
2LinkedInDay 2Warm the name, connect request
3EmailDay 5Different angle / proof point
4LinkedInDay 8Message if connected
5EmailDay 12Case study / social proof
6EmailDay 18Breakup — low pressure, leave door open

Step 3: Write the Sequence

Produce each touchpoint in full. Apply the persona calibration from Step 1.

Rules for every touch:

  • Subject line: <7 words, no punctuation spam, no "Re:" tricks
  • Opening line: specific to them or their company — never generic
  • Body: 3-5 sentences max per email. One idea per touch.
  • CTA: one action only. "15 minutes?" or "Worth a quick chat?" not "Schedule a demo at your convenience using this link"
  • Never attach anything in the first 3 touches
  • No "Hope this finds you well", no "I wanted to reach out", no "synergy"
## Touch 1 — Email (Day 0)
Subject: [subject line]
---
[Opening — specific observation about them or their company]

[One sentence: what you do and for whom]

[One sentence: the outcome, with a number if you have one]

[CTA — one question]

[Name]
---

## Touch 2 — LinkedIn (Day 2)
Connection request note (300 char max):
[Brief, non-salesy. Reference their work, not your product.]

## Touch 3 — Email (Day 5)
Subject: [different angle subject]
---
[Different hook — competitor angle, or industry trend, or "quick question"]

[One proof point: customer name + outcome]

[CTA]

[Name]
---

## Touch 4 — LinkedIn Message (Day 8)
[If connected: 2-3 sentences. Reference connection context. Soft CTA.]

## Touch 5 — Email (Day 12)
Subject: [case study or social proof angle]
---
[Open with a customer story in 1 sentence: "[Similar company] used us to [outcome]."]

[Ask if that pattern applies to them]

[CTA]

[Name]
---

## Touch 6 — Breakup Email (Day 18)
Subject: [Closing the loop / Should I stop?]
---
[Acknowledge: you've reached out a few times, understand if timing isn't right]

[Leave a door open: one sentence on the value if they ever reconsider]

[No CTA — just permission to reply if interested]

[Name]
---

Step 4: Timing and Sending Notes

  • Send emails Tuesday-Thursday, 8-10am or 3-5pm recipient timezone
  • LinkedIn connection requests: Monday or Wednesday
  • Never send touch 6 if they opened 3+ emails without replying — they're reading, add a touch 5.5 instead
  • Personalization tokens to add per prospect: [[first_name]], [[company]], [[trigger_event]]

Delivery

Output all 6 touches as ready-to-load copy. Flag any personalization tokens that require manual fill. If output exceeds 40 lines, delegate to /atlas-report.

Frequently asked questions

What does the Deal Outreach AI skill do?

Cold outbound sequence builder — produces multi-touch email + LinkedIn sequences (5-7 touchpoints) personalized by persona type (technical buyer, economic buyer, champion). Use when asked to "write cold emails", "build an outbound sequence", "create prospecting emails", "write my LinkedIn outreach", or "design a cold email campaign".

Why use Deal Outreach on TypingMind?

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

Which AI models can use Deal Outreach?

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 Outreach?

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

Is the Deal Outreach 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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