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Iso 24495 3

Community
GaZmagik
iso-24495-3

Sector-specific Plain Language standard for science and technical writing (ISO 24495-3:2026). Applied during software documentation, architecture specs, and technical analysis.

Overview

PublisherGaZmagik
Repositoryiso-24495
Skill nameiso-24495-3
Stars
199
Forks
11
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Iso 24495 3 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/GaZmagik/iso-24495/tree/main/skills/iso-24495-3
  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/GaZmagik/iso-24495.git /tmp/iso-24495
mkdir -p .claude/skills
cp -r /tmp/iso-24495/skills/iso-24495-3 .claude/skills/iso-24495-3
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Iso 24495 3 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 Iso 24495 3 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 Iso 24495 3 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.

ISO 24495-3:2026 - Plain Language (Science and Technical Communication)

Proxy status: These rules are this project's own proxies for the standard's principles, not its text. Following them is never a claim of ISO conformance.

Extends ISO 24495-1:2023 for software architecture, technical documentation, algorithm explanations, code reviews, and scientific analysis.

Scope & Execution Boundaries

  1. Thinking Block Exemption:

    • Internal architectural analysis, code reasoning, and mental trace blocks (the thought and thinking tags) are 100% exempt from plain language constraints.
    • Reason freely within thinking blocks. Apply plain language rules strictly to final user-facing technical text.
  2. Code & Data Preservation Immunity:

    • Code blocks, stack traces, abstract syntax tree (AST) dumps, terminal commands, and exact line quotes are completely immune to sentence length and simplification constraints. Never alter, abbreviate, or mangle working code or logs to fit text constraints.
  3. Document Design Applies Here Too:

    • A technical document is a document, so iso-24495-5 loads alongside this skill. Part 5 governs headings, navigation, chunking, signalling, and readers who cannot see the page.
    • It loads for a document, not for every explanation. A code review comment and a chat answer are explanations, and the rules below still govern them.
    • Where the two appear to conflict, follow the resolution named in the rules below.

Quantitative Rules & Hard Constraints (User-Facing Output)

  1. Progressive Disclosure Ordering: Structure every technical explanation in these stages, in this order:

    1. System Purpose: High-level operational intent (1 sentence).
    2. Architecture & Data Flow: Diagram (Mermaid) or summary table. Rule 4 governs the diagram's text alternative, and Part 5 governs the table. Required where the explanation covers how more than one component relates to another. A single mechanism needs none, and neither does a sequence of steps that an ordered list already presents in order. A diagram nobody needs is the decoration Part 5 forbids.
    3. Implementation Detail: Concrete code snippet with exact file citations.

    These stages order an explanation, and Part 5's three levels order a document. They are different axes rather than two versions of one, so they do not map one to one. Where the explanation is a document:

    • The purpose sentence supplies the purpose line of Part 5's opening block, and opens its overview where Part 5 calls for one. The block's title, version and named reader are not its to supply, and Part 5 still requires them of the author. That overview also keeps the conclusion, the action required and any essential qualification, which one sentence does not.
    • Stages 2 and 3 sit in the main body, in that order.
    • Part 5's optional detail holds what a reader can skip and still act on. No stage covers it, so nothing is demoted there by default.

    A stage covers what the explanation contains. A runbook explains what to do and a decision record explains a choice, so neither needs stage 2's diagram of components nor stage 3's code. Omit a stage the explanation has no content for, and keep the order of those it has. They also do not exclude what a genre needs beside them: an incident report's timeline sits with the stages rather than inside one.

  2. File & Code Citation Standard:

    • Quote exact file locations using markdown links with line numbers: [filename](file:///path/to/file#L10-L20).
    • Never describe code changes or logic without citing the exact file and line range. This governs an explanation of code. A guide describing what a user does needs no citation.
  3. Terminology & Acronym Standardisation:

    • Define every acronym or domain-specific term upon first use in parentheses (e.g. "Abstract Syntax Tree (AST)").
    • Use consistent symbol names across text, code snippets, and diagrams.
  4. Diagrams and Their Alternatives:

    • Give every diagram a text alternative saying what it shows, not what it is. Part 5 requires that of any image carrying meaning. Stage 2 above offers a diagram as one way to meet it, so this rule says where the alternative goes. A summary table is the other way, and Part 5 already governs it.
    • A Mermaid diagram reaches a listener as its source text, which is not an explanation. So the alternative is prose beside the diagram, never the diagram's own labels.

Contrastive Examples

Example 1: Concurrency Control Explanation

  • ❌ Not aligned (Dense & Abstract):
    text
    In order to prevent race conditions during concurrent state mutations
    within the execution pipeline, a mutex lock mechanism is introduced prior
    to updating the shared buffer allocation in memory.
  • ✅ ISO 24495-3 Aligned:

    System Purpose: Acquire a Mutex Lock to prevent data corruption during concurrent writes.

    Implementation Detail: The locking logic is implemented in state_manager.rs:L45-L52:

    rust
    let _guard = self.mutex.lock().unwrap();
    self.buffer.update(data);

Pre-Output Self-Audit Checklist

Before outputting technical text, audit against these checks:

  • Progressive structure: Is system purpose stated before architecture and code?
  • Exact citations: Are code citations backed by file:/// links and line numbers?
  • Acronym definitions: Are acronyms and specialized terms defined upon first use?
  • Visual aids: Does a diagram or table show how components relate, unless an ordered list already presents that relationship as a sequence?
  • Code immunity: Are code snippets and commands intact and un-mangled?
  • Text alternatives: Does every diagram carry prose saying what it shows?
  • Layering: Where the explanation is a document, do the stages sit in Part 5's levels as rule 1 says?
  • Design applied: Did iso-24495-5 run over the document as well as this skill?

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 Iso 24495 3 AI skill do?

Sector-specific Plain Language standard for science and technical writing (ISO 24495-3:2026). Applied during software documentation, architecture specs, and technical analysis.

Why use Iso 24495 3 on TypingMind?

Because you install it once and use it with any model. Iso 24495 3 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 Iso 24495 3 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/GaZmagik/iso-24495/tree/main/skills/iso-24495-3. 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 Iso 24495 3?

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 Iso 24495 3?

As many as you like. As long as a model supports skills, you can use Iso 24495 3 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Iso 24495 3 AI skill free?

Yes. It is published on GitHub by GaZmagik 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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