Teaser logo

Teaser

OrganizationPopular
anthropics
teaser

Draft anonymous one-page company teasers for sell-side M&A processes. Creates a compelling summary without revealing the company's identity, designed to gauge buyer interest before NDA execution. Triggers on "teaser", "blind teaser", "anonymous profile", "one-pager for process", or "draft teaser for sell-side".

Overview

Publisheranthropics
Repositoryfinancial-services
Skill nameteaser
Stars
38.4K
Forks
5.5K
Bundled files
Instructions only
LicenseApache-2.0
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 anthropics on GitHub. Read the source before you install it.

Installation

Install the Teaser 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.
    https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/investment-banking/skills/teaser
  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/anthropics/financial-services.git /tmp/financial-services
mkdir -p .claude/skills
cp -r /tmp/financial-services/plugins/vertical-plugins/investment-banking/skills/teaser .claude/skills/teaser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Teaser 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 Teaser 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 Teaser 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.

Teaser

Workflow

Step 1: Gather Inputs

  • Company description (what they do, how they make money)
  • Sector / industry
  • Key financial metrics: revenue, EBITDA, growth rate, margins
  • Geographic footprint
  • Key selling points (3-5 highlights)
  • What to anonymize vs. disclose
  • Target buyer audience (strategic, financial, or both)

Step 2: Teaser Structure

One page, professionally formatted:

Header

  • Deal code name (e.g., "Project [Name]")
  • Sector descriptor (e.g., "Leading Specialty Industrial Services Platform")
  • "Confidential — For Discussion Purposes Only"

Company Description (2-3 sentences)

  • What the company does, without naming it
  • Market position (e.g., "a leading provider of...", "a top-3 player in...")
  • Geography (region-level, not city-specific)

Investment Highlights (4-6 bullet points)

  • Market leadership / positioning
  • Revenue quality (recurring %, retention, diversification)
  • Growth profile and trajectory
  • Margin profile and expansion opportunity
  • Management team strength
  • Strategic value / synergy potential

Financial Summary (table or key metrics)

MetricValue
Revenue$XXM
Revenue GrowthXX% CAGR
EBITDA$XXM
EBITDA MarginXX%
EmployeesXXX

Transaction Overview (2-3 sentences)

  • What's being offered (100% sale, majority stake, growth equity)
  • Indicative timeline
  • Contact information for expressions of interest

Step 3: Anonymization Check

Ensure the teaser doesn't inadvertently identify the company:

  • No company name, brand names, or product names
  • No specific city (use region: "Southeast US", "Midwest")
  • No named customers or partners
  • No employee count if it's too distinctive
  • Revenue ranges instead of exact figures if the sector is small
  • No logos, screenshots, or identifiable imagery

Step 4: Output

  • Word document (.docx) — one page, clean formatting
  • PDF version for distribution
  • Optional PowerPoint version (single slide)

Important Notes

  • The teaser's job is to generate interest, not close a deal — keep it tight and compelling
  • Less is more — a good teaser makes buyers want to sign the NDA to learn more
  • Use aspirational but accurate language — "leading", "differentiated", "high-growth" are fine if true
  • Include enough financial detail to qualify serious buyers but not so much that tire-kickers waste your time
  • Always have the client and legal review before distribution
  • Track who receives the teaser — it becomes the outreach log for the process

Frequently asked questions

What does the Teaser AI skill do?

Draft anonymous one-page company teasers for sell-side M&A processes. Creates a compelling summary without revealing the company's identity, designed to gauge buyer interest before NDA execution. Triggers on "teaser", "blind teaser", "anonymous profile", "one-pager for process", or "draft teaser for sell-side".

Why use Teaser on TypingMind?

Because you install it once and use it with any model. Teaser 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 Teaser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/investment-banking/skills/teaser. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Teaser?

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 Teaser?

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

Is the Teaser AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 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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