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Prp Technical Writing

CommunityPopular
Wirasm
prp-technical-writing

Writes and edits developer documentation that is easy to act on and hard to misread. Use when writing or reviewing a README, RFC, tutorial, how-to guide, reference document, or technical explanation, when the operator says "write the docs", "improve this README", "edit this RFC", or invokes /prp-technical-writing.

Overview

PublisherWirasm
Repositoryprp
Skill nameprp-technical-writing
Stars
2.2K
Forks
607
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Prp 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.
  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/Wirasm/prp.git /tmp/prp
mkdir -p .claude/skills
cp -r /tmp/prp/plugins/prp-core/skills/prp-technical-writing .claude/skills/prp-technical-writing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prp 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 Prp 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 Prp 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.

Write technical documentation

Write or edit substantial developer documentation for the intended reader and task.

Input: $ARGUMENTS

Scope

Treat requests to review, critique, or answer a question as read-only. Edit files only when the operator asks for a change.

Leave product UI copy to the product's copy rules. Leave ordinary commit messages and pull request descriptions to /prp-commit and /prp-pr unless the operator explicitly invokes this skill for an editorial pass.

1. Establish the source of truth

Read the repository guidance, requested draft, relevant source, and existing documentation before writing. Identify the reader, the action or understanding they need, and the authoritative sources for the document's claims.

Use the repository's real symbols, paths, flags, commands, and product terms. Do not invent behavior, results, measurements, or terminology to make the prose sound complete.

2. Choose the document mode

Before drafting, read references/document-modes.md. Choose the dominant mode for the unit the operator asked to write: the whole document, or one focused section within a mixed document. Split and link when a competing mode becomes substantial; do not split a useful example or small reference table merely for structural purity.

3. Write for the first read

Before writing or editing, read references/sentence-style.md. Use direct, concrete language and a natural rhythm. Preserve precise domain terms, but remove filler, invented metaphors, vague claims, and formulaic AI phrasing.

Organize the document around the reader's task or question. Keep background only when it changes what the reader understands or does.

4. Prove the document

Check every named symbol, path, flag, link, count, command, and expected result against the real source. Run examples and commands when doing so is safe and relevant. Otherwise state what remains unverified instead of presenting it as fact.

Confirm that procedures follow the actual user path and that reference material matches the authoritative implementation or schema.

5. Edit once more

Remove words that do no work. Resolve ambiguous pronouns, modifiers, and overloaded names. Split any sentence that makes the reader backtrack.

Ask, "What makes this sound generated?" Rewrite the remaining tells without making the prose sterile or changing its meaning.

Handoff

Report the documents reviewed or changed and the evidence used to verify them. Do not commit or open a pull request unless the operator asks.

Resources

  • references/document-modes.md — choose and shape tutorials, how-to guides, reference, and explanation
  • references/sentence-style.md — write plain, precise sentences and remove generated-sounding prose

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 Prp Technical Writing AI skill do?

Writes and edits developer documentation that is easy to act on and hard to misread. Use when writing or reviewing a README, RFC, tutorial, how-to guide, reference document, or technical explanation, when the operator says "write the docs", "improve this README", "edit this RFC", or invokes /prp-technical-writing.

Why use Prp Technical Writing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Wirasm/prp/tree/development/plugins/prp-core/skills/prp-technical-writing. 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 Prp 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 Prp Technical Writing?

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

Is the Prp Technical Writing AI skill free?

Yes. It is published on GitHub by Wirasm 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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