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Writing Style

Community
anotb
writing-style

Write and edit consulting analysis, recommendations, reports, decks, and client communications with direct language, proportional detail, and explicit evidence. Use to adapt a consulting deliverable to its audience and remove generic or unsupported claims.

Overview

Publisheranotb
Repositorymanagement-consulting-plugin
Skill namewriting-style
Stars
62
Forks
9
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 anotb on GitHub. Read the source before you install it.

Installation

Install the Writing Style 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/anotb/management-consulting-plugin/tree/main/skills/writing-style
  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/anotb/management-consulting-plugin.git /tmp/management-consulting-plugin
mkdir -p .claude/skills
cp -r /tmp/management-consulting-plugin/skills/writing-style .claude/skills/writing-style
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Writing Style 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 Writing Style 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 Writing Style 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.

Writing Style

Follow the user's requested voice, audience, format, and length. These are defaults for consulting work, not a requirement to imitate a role or overwrite an approved style.

Lead with the answer or decision the reader needs. Explain the evidence, consequence, trade-off, and action in the detail needed to assess them. Spend more words where the reasoning is difficult; omit routine sections that add no decision value.

Use concrete nouns, active verbs, and natural sentence variation. Define technical terms when the audience needs it. Remove ceremonial openings, inflated adjectives, and stock phrases such as “unlock value” or “in today's rapidly evolving landscape.” Replace them with the specific outcome or mechanism. Use periods, commas, or parentheses instead of em dashes in original prose; preserve quotations and supplied style when required.

Remove invented rhetorical contrasts, empty praise, question-and-answer headings, and conclusions that repeat the opening. A sentence should add a finding, explanation, trade-off, or action. Do not pad a short request into a standard consulting framework.

Use paragraphs for connected reasoning, lists for parallel items, and tables for comparison. Numeric cells can contain a number and unit. Do not enforce a sentence count in every cell, a fixed number of arguments, or a uniform section length. A title should help navigation or state a supported takeaway according to the artifact's purpose.

State supported judgments directly. Calibrate certainty to the evidence rather than stripping all qualifications. Distinguish facts, sourced claims, forecasts, estimates, and opinion. Quantify when defensible, with units, periods, and a basis. Do not turn an unknown into a directional number just to sound specific.

Never invent experience, quotations, research, benchmarks, or sources. “Organizations that do X tend to see Y” still asserts an empirical pattern and needs support. When evidence is absent, explain the mechanism as a hypothesis, mark an example as fictional, or state the missing input. Preserve material contradictions and limitations near the claim.

Put a material caveat beside the affected claim once, with its decision consequence. Keep drafting and validation notes outside client-facing prose when the reader does not need them. Evidence discipline should make the answer usable, not turn every deliverable into an audit of its own limitations.

For a proposed action, identify who would own it and what happens next when the task calls for execution detail. Label suggested owners and dates as proposals. Finish when the requested artifact is complete; avoid adding a menu of unrelated next services.

Frequently asked questions

What does the Writing Style AI skill do?

Write and edit consulting analysis, recommendations, reports, decks, and client communications with direct language, proportional detail, and explicit evidence. Use to adapt a consulting deliverable to its audience and remove generic or unsupported claims.

Why use Writing Style on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anotb/management-consulting-plugin/tree/main/skills/writing-style. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Writing Style?

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 Writing Style?

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

Is the Writing Style AI skill free?

Yes. It is published on GitHub by anotb 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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