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Pitch Packager

Community
Neeeophytee
pitch-packager

Package a finished piece of work (spec, prototype, implementation notes) into a single document that gets reviewers to understanding and approval fast. Use when the user needs buy-in, a review, or a shareable summary of what was built and why.

Overview

PublisherNeeeophytee
Repositoryfinding-unknowns-skills
Skill namepitch-packager
Stars
353
Forks
28
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 Neeeophytee on GitHub. Read the source before you install it.

Installation

Install the Pitch Packager 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/Neeeophytee/finding-unknowns-skills/tree/main/skills/pitch-packager
  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/Neeeophytee/finding-unknowns-skills.git /tmp/finding-unknowns-skills
mkdir -p .claude/skills
cp -r /tmp/finding-unknowns-skills/skills/pitch-packager .claude/skills/pitch-packager
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pitch Packager 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 Packager 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 Packager 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.

Pitch packager

Reviewers start with the same unknowns the builder started with, plus one more: whether the builder accounted for the failure points an expert would probe. A good pitch doc kills both in one read.

Steps

  1. Collect the artifacts: the spec or plan, the prototype or demo, the implementation notes, and the diff. Ask for a demo recording or screenshots if any user-facing behavior changed — lead with that.
  2. Structure the document in reading order for a skeptic:
    • The demo — what it looks like working, first. A GIF or screenshot beats prose.
    • The problem and the bet — two paragraphs max: what this solves and the approach chosen over the alternatives.
    • What an expert would ask — the 3-5 hard questions a reviewer in this domain would raise (edge cases, scale, failure modes, migration), each answered honestly, including "not handled, here's why that's acceptable for now."
    • Deviations from plan — lifted straight from implementation-notes, because surprises found in review cost trust.
    • What's NOT in this change — scope fences, so the review doesn't sprawl.
  3. Keep it one page. Link out to the spec, notes, and diff rather than inlining them.
  4. Match the medium to the venue: a Slack-pasteable doc, a PR description, or a standalone HTML page — ask which if unclear.

Guardrails

  • Never oversell: a pitch that hides a known weakness converts one approval into a permanent credibility loss.
  • The "what an expert would ask" section is the heart. If it's easy to write, the questions aren't hard enough.
  • If the work isn't actually ready, the honest pitch is a status update, and saying so is part of this skill.

Frequently asked questions

What does the Pitch Packager AI skill do?

Package a finished piece of work (spec, prototype, implementation notes) into a single document that gets reviewers to understanding and approval fast. Use when the user needs buy-in, a review, or a shareable summary of what was built and why.

Why use Pitch Packager on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Neeeophytee/finding-unknowns-skills/tree/main/skills/pitch-packager. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pitch Packager?

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 Packager?

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

Is the Pitch Packager AI skill free?

Yes. It is published on GitHub by Neeeophytee 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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