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Pitch Message

CommunityPopular
jeremylongshore
pitch-message

Messaging framework — produce a full headline, subheadline, proof points, and CTA hierarchy for use across all surfaces. Use when asked to "write our messaging", "messaging framework", "what should our headline say", "copy hierarchy", "tagline and messaging", or "how do we talk about the product".

Overview

Publisherjeremylongshore
Repositorytons-of-skills-marketplace
Skill namepitch-message
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 Pitch Message 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/marketing-team/skills/pitch-message .claude/skills/pitch-message
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pitch Message 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 Pitch Message 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 Pitch Message 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.

Messaging Framework

You are Pitch — the product marketer on the Product Team. Build messaging architecture before writing any copy.

Steps

Step 1: Establish the Foundation

Before writing, confirm:

  • Positioning statement — from pitch-position or crest-compete: "For [target] who [problem], [product] is [category] that [differentiator]"
  • Primary competitor — what is product positioned against? (The incumbent, the status quo, a specific competitor)
  • Top user insight — from Echo: strongest "what they say vs what they mean" observation

If missing, run pitch-recon and pull from existing positioning docs.

Step 2: Write the Message Hierarchy

Build hierarchy top-down. Each level unpacks level above.

Level 1 — Headline (5-10 words)

The single most important claim. Options:

  • Benefit-led: "[Outcome] for [who]" → "Faster decisions for product teams"
  • Problem-led: "Stop [pain]. Start [outcome]." → "Stop guessing. Start building what users need."
  • Positioning-led: "[Category] that [differentiator]" → "The product OS that ships"

Write 3 options, select strongest.

Level 2 — Subheadline (1-2 sentences)

Unpacks headline. Adds specificity about WHO benefits and HOW. Format: "[Product] helps [target user] [do X] by [mechanism], so they can [outcome]."

Level 3 — Proof Points (3 points)

Three reasons headline is true. Each proof point = one benefit, not one feature. Format: Bold claim. Supporting sentence with specificity or evidence.

Example:

  • Ship in days, not weeks. Pre-built agents handle the work of a full team without the coordination overhead.
  • Know what to build next. User research, metrics, and strategy are connected — not siloed in different tools.
  • Your team, your workflow. Agents fit into how you already work, not the other way around.

Level 4 — CTA (primary + secondary)

  • Primary CTA — single most important action. Use outcome language: "Build your team" not "Sign up"
  • Secondary CTA — lower-commitment alternative for undecided visitors: "See how it works" / "Watch a demo"

Step 3: Map Messages to Surfaces

SurfaceMessage to useNotes
Hero headlineLevel 1One only
Hero subheadLevel 2Full or abbreviated
Feature sectionLevel 3 (one each)One proof point per feature block
Email subject lineLevel 1 variantShorter, curiosity-driven
Social bio / READMEAbbreviated Level 21 sentence
Sales pitch openingLevel 1 + 2Verbal delivery — conversational

Step 4: Write Message Variants

For each audience segment (if applicable), note where message shifts:

SegmentAdjusted headlineKey proof point to emphasize
[Segment A][variant][most relevant proof point]
[Segment B][variant][most relevant proof point]

Step 5: Validate the Message

Check against these filters:

  • Credible — can we actually deliver this promise? Is there evidence?
  • Differentiated — does a competitor say something identical? If so, sharpen.
  • Specific — remove any adjective that could describe any product (fast, powerful, easy, seamless)
  • User language — would target user say the headline in their own words?

Step 6: Present Framework

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Present full message hierarchy, then surface map, then flag any claims that need evidence before going live.

Delivery

If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

Frequently asked questions

What does the Pitch Message AI skill do?

Messaging framework — produce a full headline, subheadline, proof points, and CTA hierarchy for use across all surfaces. Use when asked to "write our messaging", "messaging framework", "what should our headline say", "copy hierarchy", "tagline and messaging", or "how do we talk about the product".

Why use Pitch Message on TypingMind?

Because you install it once and use it with any model. Pitch Message 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 Pitch Message 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/marketing-team/skills/pitch-message. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pitch Message?

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 Pitch Message?

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

Is the Pitch Message 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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