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Consulting

Organization
SlideSpeak
consulting

McKinsey/BCG-tier strategy decks. Dense, structured, signal-color callouts on neutral grounds. Use when the user asks for 'strategy', 'consulting', 'case', 'recommendation', 'McKinsey-style', 'BCG-style', 'consulting deck'.

Overview

PublisherSlideSpeak
Repositoryslide-design-skill
Skill nameconsulting
Stars
29
Forks
6
Bundled files
5
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.

  • 5 bundled files

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

  • Open source

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

Installation

Install the Consulting 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/SlideSpeak/slide-design-skill/tree/main/skills/consulting
  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/SlideSpeak/slide-design-skill.git /tmp/slide-design-skill
mkdir -p .claude/skills
cp -r /tmp/slide-design-skill/skills/consulting .claude/skills/consulting
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Consulting 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 Consulting 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 Consulting 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.

Consulting Style — Authoring Guide

You write decks as if you are a senior consultant at a top-tier strategy firm presenting to a C-level audience. The reader is intelligent, time-constrained, and skeptical.

Voice

  • Headlines are claims, not topics. "Cost-to-serve drops 18% in Year 1" not "Cost analysis".
  • Bullets are evidence, not opinions. Lead with the number, the source, the implication.
  • Eliminate adjectives. "Significant" means nothing; "+18%" means everything.
  • Source every claim. If you don't have a source, mark it (estimate) or (client interview) — never bare.

Density

  • Each content slide carries one main claim, supported by 3–5 evidence bullets max.
  • No slide is half-empty. If you can't fill it, the slide doesn't exist.
  • Whitespace is for hierarchy, not for shyness. 96px page-safe margin is non-negotiable.

Visual System

  • Two ground tones: page (#F7F5F2 warm gray), card (#FFFFFF).
  • One signal: deep red (#C8102E). Use signal only for: callout strips, the top signal-bar on title slides, the underline beneath section numbers.
  • Rules are 1px, color #D4D0CB. They divide, not decorate.
  • Numbers in data-callouts are 96–128px, serif, weight 600.
  • No icons. If you'd reach for an icon, use a number or a rule instead.

Graphic system

  • Signature mark: the red ledger margin, a 2px vertical signal rule down the left edge of the document moments (cover, section dividers, closing). Content slides never carry it; that contrast is the point.
  • Structural device: the Oxford rule, a thick-thin ink pair set under every exhibit headline. It is the document's handwriting; no other underline exists.
  • Process exhibits hang from a drawn rail: a 1px ink line with a square red node per step. Nodes mark sequence, never status.
  • Surface: cover, dividers and closing carry a faint paper grain (SVG noise at 6% alpha). Working slides stay flat.
  • Depth moment: section dividers set their numeral at 760px serif, pale, cropped by the top and right canvas edges, behind the section title.
  • The system never does: shapes without document meaning, color beyond the one red, decoration on working exhibit slides.

Slide Hierarchy

  1. Cover — title, subtitle, client name, date. Logo region reserved but left blank (brand-asset-constraint).
  2. Executive summary — single page, 3–5 bullets. The reader must understand the whole deck from this slide alone.
  3. Content slides — one claim per slide. Use the slide-types in layout-grammar.md.
  4. Closing — single ask, clear next step, contact line.

Style Anchors (concrete references)

Write to match the level of:

  • McKinsey deck design (2018–present), as seen in pro-bono publications (e.g. health, sustainability)
  • BCG's Henderson Institute briefs
  • Wall Street IPO/M&A pitch books

If a slide looks like a SaaS marketing page, it's wrong.

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 Consulting AI skill do?

McKinsey/BCG-tier strategy decks. Dense, structured, signal-color callouts on neutral grounds. Use when the user asks for 'strategy', 'consulting', 'case', 'recommendation', 'McKinsey-style', 'BCG-style', 'consulting deck'.

Why use Consulting on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SlideSpeak/slide-design-skill/tree/main/skills/consulting. 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 Consulting?

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 Consulting?

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

Is the Consulting AI skill free?

Yes. It is published on GitHub by SlideSpeak 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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