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Product Launch

CommunityPopular
cbrock84
product-launch

Takes something built and gets it into the market — tiering the launch to match what it actually warrants, sequencing internal readiness before external announcement, preparing sales and support to answer the questions it creates, choosing the date for a reason, and measuring adoption rather than announcement reach. Use this to plan a launch, right-size one that is consuming more than it deserves, work out why a released feature nobody uses was launched loudly, or run the weeks after launch day.

Overview

Publishercbrock84
Repositoryheadcount
Skill nameproduct-launch
Stars
2K
Forks
316
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cbrock84 on GitHub. Read the source before you install it.

Installation

Install the Product Launch 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/cbrock84/headcount/tree/main/plugins/marketing/skills/product-launch
  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/cbrock84/headcount.git /tmp/headcount
mkdir -p .claude/skills
cp -r /tmp/headcount/plugins/marketing/skills/product-launch .claude/skills/product-launch
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Launch 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 Product Launch 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 Product Launch 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.

Product launch

A launch is not an announcement. The announcement is the cheapest part and the part most likely to be mistaken for the whole thing, which is how features get press coverage and no adoption.

Tier the launch before planning it

Not everything deserves the same treatment, and treating everything as major is how a team burns its own attention and its audience's.

  • Tier one — changes the story you tell about the product, or opens a new segment. Full motion: positioning work, press, sales enablement, customer communication, campaign.
  • Tier two — meaningful to existing customers, not a new story. In-product announcement, documentation, a note to affected accounts, sales briefing.
  • Tier three — improvement. Release notes and nothing else.

Agree the tier before work starts, and expect the pull toward tier one from whoever built it. Effort spent above the tier is taken from somewhere else, usually from the next launch.

Sequence internal readiness ahead of the announcement

The order matters and gets reversed constantly. Support and sales find out from the announcement, then spend launch week answering questions they were never briefed on, badly.

Before anything external: documentation exists, support can answer the top questions, sales knows who it is for and who it is not for, pricing and packaging are decided and configured, and the thing works for the accounts that will try it first.

Have someone outside the team use it from scratch. The team cannot see the first-run experience any more, and the first-run experience is what everyone else gets.

Decide who it is for, and say who it is not for

A launch aimed at everyone lands on no one. Name the segment, the problem it solves, and what changes for them — and say explicitly who should not use it yet. Sales will otherwise sell it to whoever asks, and the earliest customers will be the worst-fit ones.

Pick a date for a reason, and defend the criteria over the date

Launch dates get set by an event, a quarter, or a promise. Whatever fixes it, write down the criteria that must hold to launch on it — quality bar, documentation, support readiness — and treat those as the real gate.

Launching before support readiness is the most expensive way to save a week. The cost lands as a bad first impression on exactly the customers most interested in the thing.

Plan the days after, not just the day

Most launch plans end on launch day, which is where the work starts. Schedule the follow-through: a second wave for people who missed the first, in-product prompts for users who have not tried it, outreach to accounts that fit, and a check on the questions arriving in support.

Watch the first support tickets closely. They are the fastest signal about what the launch got wrong, and they arrive before any dashboard moves.

Measure adoption, not announcement

Reach, impressions and press mentions measure the announcement. What matters is whether the intended people are using the thing and whether it did what the roadmap claimed.

Decide the number before launch — how many of which accounts, doing what, by when. A launch evaluated on engagement metrics chosen afterward is always a success and teaches you nothing.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Announce externally before support and sales can answer the obvious questions.
  • Run a tier-one motion for a tier-three change because the team is proud of it.
  • Launch to everyone because narrowing the audience feels like reducing the impact.
  • Report launch success in reach when the goal was adoption.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Product Launch AI skill do?

Takes something built and gets it into the market — tiering the launch to match what it actually warrants, sequencing internal readiness before external announcement, preparing sales and support to answer the questions it creates, choosing the date for a reason, and measuring adoption rather than announcement reach. Use this to plan a launch, right-size one that is consuming more than it deserves, work out why a released feature nobody uses was launched loudly, or run the weeks after launch day.

Why use Product Launch on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cbrock84/headcount/tree/main/plugins/marketing/skills/product-launch. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Product Launch?

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 Product Launch?

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

Is the Product Launch AI skill free?

Yes. It is published on GitHub by cbrock84 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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