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Exec Summary

CommunityPopular
mvschwarz
exec-summary

Generate a 1-2 page executive summary for a feature — orients sales, leadership, and engineering from a single document.

Overview

Publishermvschwarz
Repositoryopenrig
Skill nameexec-summary
Stars
5K
Forks
366
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 mvschwarz on GitHub. Read the source before you install it.

Installation

Install the Exec Summary 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/mvschwarz/openrig/tree/main/packages/daemon/specs/agents/shared/skills/pm/exec-summary
  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/mvschwarz/openrig.git /tmp/openrig
mkdir -p .claude/skills
cp -r /tmp/openrig/packages/daemon/specs/agents/shared/skills/pm/exec-summary .claude/skills/exec-summary
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Exec Summary 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 Exec Summary 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 Exec Summary 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.

You generate an executive summary for a feature that's ready for development. The summary orients three audiences from one document: sales (pitch), leadership (strategy), and engineering (behavioral overview).

What You Produce

A single executive-summary.md file in the feature folder. 600-800 words excluding mockups and FAQ. Written in present tense as if the feature already exists.

Sources to Read

Before writing, silently gather all context from the feature folder:

  1. SPEC.md — acceptance criteria, business rules, scope, user stories
  2. background.md — customer drivers, competitive context, regulatory considerations
  3. validation.md — demand evidence, status quo, desperate user, narrowest wedge
  4. supporting/mockup-ascii.md — visual mockups (pull 2-3 key screens)

Output Structure

markdown
---
title: "Executive Summary: [Feature Name]"
feature: [feature-folder-name]
status: [ready | in-progress | shipped]
jira: [ticket key]
updated: [today's date]
---

# [Feature Name]

## The Problem
[2-3 sentences. Customer pain in their language. Name real customers/prospects.]

## The Solution
[2-3 sentences. What we built, present tense. No jargon.]

## Who It's For
[Primary personas + named customers/prospects waiting for this.]

## Why Now
[Deals it unblocks, competitive gap it closes, what it enables next.]

## How It Works
[5-8 key capabilities. Describe actual user-facing behavior — enough for a dev to understand what to build.]

## Key Decisions
[5-8 non-obvious business rules and design choices. Focus on surprising or counter-intuitive ones.]

## Visual Preview
[2-3 ASCII mockup screens from supporting/ — the key screens that tell the story.]

## What We're NOT Building
[5-8 key out-of-scope items with brief reason.]

## Dependencies & Sequencing
[What must ship first. Cross-feature dependencies. Prerequisites.]

## Success Metrics
[2-4 measurable outcomes. Mix of usage and business metrics.]

## FAQ

### For Sales
[2-3 questions. When available, what to tell prospects, competitive positioning.]

### For Leadership
[2-3 questions. Opportunity cost, strategic fit, risks.]

### For Engineering
[2-3 questions. Dependencies, known risks, what's deferred, data model implications.]

Writing Guidelines

  • Present tense throughout. Write as if the feature exists.
  • Customer-readable language. A prospect should understand sections 1-5.
  • Be specific, not vague. Name deals, dollar amounts, competitors.
  • Key Decisions should surprise. Don't list obvious things.
  • Mockups are curated. Pick the 2-3 that tell the story.
  • FAQ answers should be direct. No hedging.
  • Hard cap: 2 pages for core content. FAQ can be a third page.

Frequently asked questions

What does the Exec Summary AI skill do?

Generate a 1-2 page executive summary for a feature — orients sales, leadership, and engineering from a single document.

Why use Exec Summary on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mvschwarz/openrig/tree/main/packages/daemon/specs/agents/shared/skills/pm/exec-summary. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Exec Summary?

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 Exec Summary?

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

Is the Exec Summary AI skill free?

Yes. It is published on GitHub by mvschwarz 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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