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Technical Writing

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backnotprop
technical-writing

Layered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.

Overview

Publisherbacknotprop
Repositorypstack
Skill nametechnical-writing
Stars
3.2K
Forks
227
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 backnotprop on GitHub. Read the source before you install it.

Installation

Install the Technical Writing 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/backnotprop/pstack/tree/main/skills/technical-writing
  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/backnotprop/pstack.git /tmp/pstack
mkdir -p .claude/skills
cp -r /tmp/pstack/skills/technical-writing .claude/skills/technical-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Technical Writing 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 Technical Writing 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 Technical Writing 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.

Technical writing

Write so a tired engineer understands on the first read. Apply all four layers.

Three rules sit above the layers:

  • Cut every word that does no work. If the sentence survives without a word, the word goes. "In order to" is "to". "It is important to note that" is nothing.
  • Use the short, everyday word. "Use", not "utilize". "Help", not "facilitate". "Do", not "perform". A long word has to buy its length with precision.
  • When a rule makes a sentence worse, fix the sentence another way or leave it alone. A sentence that follows every rule and sounds like a machine wrote it has failed.

The codebase is the word list. Write the real symbol, file, flag, or command name, not a synonym or a description of it.

Don't invent jargon. Use the words a developer would say out loud: "move", "delete", "a budget that only decreases", not "evacuate", "ratchet", or "endgame". A named pattern is fine when the doc says what it means the first time. Propose a new offender and its replacement as an addition to unslop's abstract-metaphor rule in your reply, with the diff. Don't edit that skill.

Vary the rhythm

A doc can obey every layer and still read machine-written: every sentence clipped short, no view anywhere, nothing specific.

  • Mix sentence lengths on purpose. Short sentences land a point. Longer ones carry a fact with its condition or consequence.
  • One thought per sentence does not mean one length per sentence. Split the sentence that carries two thoughts. Keep the long sentence that carries one.
  • Have a view where the mode allows it. Explanation weighs trade-offs, so say what you make of them instead of listing pros and cons. Reference stays dry.
  • Be specific over sterile. Not "schema changes can cause issues" but "a column rename fails the build".

Pick the mode first (Diátaxis)

One document, one mode. Two questions pick it: does the content inform action (doing) or understanding (thinking), and does it serve learning or work?

  • Action + learning: tutorial.
  • Action + work: how-to.
  • Understanding + work: reference.
  • Understanding + learning: explanation.

Use the compass on a whole document or on one sentence.

Tutorial: learning by doing. The learner's success is your job, not theirs. Open by saying what the learner will build, not what they will "learn". Every step produces a visible result, early and often. Tell them what they should see: the expected output, the prompt change, the log line. Cut explanation to one clause and a link. Stay concrete. Write as "we", in commands: "First, do x. Now, do y."

How-to: steps to a goal. Solve a problem a person has, not an operation the machine can perform. Assume competence and skip teaching. Action only: no digressions, no background, no completeness for its own sake. Link those instead. Allow forks and judgment: "If you want x, do y." Name the guide by the task: "How to calibrate the radar array", not "Radar array calibration".

Reference: facts for lookup. Only describe. No instruction, no persuasion, no opinion. Be dry, complete, and sure. State facts, options, limits, and errors with no hedging. Mirror the structure of the thing described, so code and docs can be navigated together. Put material where readers expect it. Generate from code where possible.

Explanation: understanding and why. One bounded topic, readable away from the product. Each title should tolerate an implicit "About..." in front. Anchor on a real why question. Give context: design decisions, history, constraints, alternatives. Opinion is allowed here and nowhere else.

Don't mix modes: no reference tables inside a tutorial, no tutorial hand-holding inside reference, no arguing inside a how-to. Split and link instead.

Write sentences to the reader (Google developer style)

  • Talk to the reader as "you", in the present tense. "Will" only for things that genuinely happen later.
  • Say who does what: "the compiler checks", not "is checked". Passive is fine only when the actor is unknown or beside the point.
  • Write instructions as commands: "Click Submit." State facts plainly. Never "should be done".
  • Put the condition before the instruction: "To delete the document, click Delete."
  • Put the common case first. Exceptions after.
  • Sound like a knowledgeable friend. No buzzwords, no figurative language, no "please" in instructions, and never "simply", "easy", or "quickly" in a procedure. If it were simple, the reader would not be here.
  • Don't pre-announce ("we will soon support...") and don't start consecutive sentences with the same phrase.
  • Link with words that say where the link goes: the page title or a short description. Never "click here". Prefer a sentence of context on the page over a link off it.
  • Headings carry the point, not just the topic ("Pick the mode first", not "Modes"). Sentence case. A task heading is a bare verb phrase ("Create an instance"). A concept heading is a noun phrase. One h1 per page, no skipped levels.
  • Numbered lists for sequences, bullets for everything else. Introduce a list with a complete sentence. Keep items parallel.
  • Code goes in code font. UI elements go in bold. Use serial commas. Drop "etc." and say up front that a list is partial.

Make statements load one at a time (STE rules)

  • One instruction per sentence. One thought per sentence everywhere else.
  • Split instructions longer than about 20 words and other sentences longer than about 25.
  • Put the warning or condition before the step it guards: "If hot oil touches your skin, injuries can occur."
  • Keep "the" and "a": "Remove backup file" reads two ways. "Remove the backup file" reads one.
  • Give each word one meaning and one job, then keep it. If "check" means inspect, don't also use it for restrain.
  • Pick one word per action and stick to it: "start", not "start" here and "initiate" there.
  • Write procedures as direct commands, never as narration and never in the passive: "Install the component", not "the component must be installed".
  • Avoid "-ing" words where you can.

Leave no sentence open to two readings (Global English)

  • Keep words like "only" and "not" next to the word they change: "only fails on growth" and "fails only on growth" say different things.
  • Break up long noun strings: "the proto import budget check script" becomes "the script that checks the proto-import budget".
  • Make every "it", "they", and "this" point at one obvious thing. Repeat the noun when in doubt. Never use "this" or "which" to point at a whole clause.
  • Don't drop verbs: "Phase 1 moves the converters and Phase 2 the runtime" leaves Phase 2 without one. Give it one.
  • Keep the small words that show structure, such as "that" in "Ensure that the switch is off". Never trade clarity for word count.
  • Repeat the article in a series when it prevents a misread: "the client and the host", not "the client and host", when they are two things.
  • Say which parts "and" or "or" joins when a sentence can group two ways. "Both...and", "either...or", and "if...then" are free disambiguators.
  • Use periods, not semicolons. Replace an em dash with a new sentence.
  • Make text in parentheses a full grammatical unit or its own sentence. Never form plurals with "(s)".
  • No slashes: write "a, b, or both" instead of "a/b" or "and/or".
  • Call each thing by one name, everywhere. A doc that says "the gate", "the ratchet", and "the budget check" for one thing teaches three things. Don't churn what didn't change.
  • Skip idioms, colloquialisms, Latin abbreviations, and metaphors.

Voice and repo specifics

  • Apply the unslop skill to every doc this skill touches. That skill owns the slop-pattern catalog: AI vocabulary, filler, hedging, formatting tells.
  • PR descriptions and commit messages are writing too. Every layer except Diátaxis applies to them. A PR body is a briefing that a reviewer can read in under a minute. Do not paste swarm logs, SHA lists, or metric tables. Link them.
  • Product UI strings are not documentation. Use your product's copy guidelines for those.
  • Indent code snippets with tabs. Write real paths. Make every count or tree claim true at the commit that lands it, and include the command that regenerates it.

Worked example

Before:

Configuration of the proto import ratchet budget script parameters is performed via budget.json. Note that it's important to remember that running with --write, which updates the committed budget to reflect the current count, should only be done when lowering it. If exceeded, CI fails.

After:

budget.mjs reads the committed budget from budget.json and counts the files that import protos. If the count exceeds the budget, CI fails. Run budget.mjs --write only to lower the budget.

Frequently asked questions

What does the Technical Writing AI skill do?

Layered technical-writing standard: Diátaxis structure, Google developer style sentences, STE instruction rules, Global English syntax. Use for /technical-writing or when writing or reviewing docs, RFCs, readmes, PR descriptions, or commit messages.

Why use Technical Writing on TypingMind?

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

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

Which AI models can use Technical Writing?

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 Technical Writing?

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

Is the Technical Writing AI skill free?

Yes. It is published on GitHub by backnotprop 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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