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Writing Skills

Community
thiientv
writing-skills

Creates or improves an Agent Skill by defining a precise trigger boundary, concise procedural instructions, progressive-disclosure references, deterministic helpers, routing evals, and validation evidence. Use when authoring or reviewing SKILL.md, skill metadata, bundled references, or skill packaging. Not for ordinary project documentation or application code.

Overview

Publisherthiientv
Repositorygodmode
Skill namewriting-skills
Stars
99
Forks
76
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 thiientv on GitHub. Read the source before you install it.

Installation

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

Use it in TypingMind

Enable Writing Skills 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 Skills 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 Skills 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 Skills

Write a skill for another agent to use under pressure. Context is a shared budget, so every paragraph must earn its place.

Design the boundary

  1. Collect concrete prompts that should and should not activate the skill.
  2. Name the responsibility in plain language and use a short verb-led name.
  3. Put all activation conditions in frontmatter description; the body loads only after activation.
  4. Keep SKILL.md procedural and under 500 lines.
  5. Move detailed rules, variants, schemas, and examples into one-level-deep references/ files.
  6. Add a script only for deterministic repeated work, with --help and tests.

Use skill-checklist.md before opening a PR.

Write and test

  • Use Agent Skills-compatible name and description frontmatter.
  • State when to use, when not to use, safety boundaries, workflow, handoffs, and completion evidence.
  • Avoid copying a reference repository's text, names, examples, or scripts; rewrite principles and record provenance.
  • Add at least three positive and two negative routing cases, including close neighbors that must not activate.
  • Create two or three realistic behavior cases with observable outputs and edge conditions before expanding the suite.
  • Run each case in a fresh context with the candidate skill and with no skill or a frozen previous version. Keep prompts, fixtures, model settings, and output locations identical.
  • Capture artifacts, public trace/tool summaries, duration, and usage. Grade deterministic assertions first and use blinded rubric or human review for judgment-heavy output.
  • Optimize description triggering on a training set and choose the final result by a held-out validation set; do not paste missed query keywords into the description until fixtures pass by accident.
  • Run the repository validator and at least one realistic forward test for a behavior-changing skill.

Descriptions should be specific enough to distinguish neighboring skills, but not so broad that every task activates the skill.

Use agent-evaluation for the baseline/candidate result format and regression analysis. Read evaluation-loop.md before claiming that a skill improves agent behavior.

Completion condition

A skill is ready when its trigger boundary is understandable, its body is actionable, its links and helpers work, its routing cases generalize, and a realistic isolated comparison produces better evidence than the baseline without an unacceptable cost or protected-metric regression.

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 Writing Skills AI skill do?

Creates or improves an Agent Skill by defining a precise trigger boundary, concise procedural instructions, progressive-disclosure references, deterministic helpers, routing evals, and validation evidence. Use when authoring or reviewing SKILL.md, skill metadata, bundled references, or skill packaging. Not for ordinary project documentation or application code.

Why use Writing Skills on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thiientv/godmode/tree/main/skills/writing-skills. 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 Writing Skills?

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 Skills?

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

Is the Writing Skills AI skill free?

Yes. It is published on GitHub by thiientv 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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