Writing For Agents logo

Writing For Agents

Organization
OyadotAI
writing-for-agents

This skill should be used when creating or editing skills, agent definitions, AGENTS.md, CLAUDE.md, or reference documents intended for agents.

Overview

PublisherOyadotAI
Repositoryoya-browser
Skill namewriting-for-agents
Stars
351
Forks
281
Bundled files
1
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 OyadotAI on GitHub. Read the source before you install it.

Installation

Install the Writing For Agents 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/OyadotAI/oya-browser/tree/main/.agents/skills/writing-for-agents
  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/OyadotAI/oya-browser.git /tmp/oya-browser
mkdir -p .claude/skills
cp -r /tmp/oya-browser/.agents/skills/writing-for-agents .claude/skills/writing-for-agents
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Writing For Agents 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 For Agents 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 For Agents 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 instructions agents can follow

Define the target behavior, trigger, permitted actions, and completion evidence before adding instructions. Preserve the user's scope and existing authorization. Keep instructions consistent with the host's permissions and the assigned member's tools; a skill cannot grant new authority.

Put information where it is needed

Keep the primary workflow in the main document. Co-locate each rule with its conditions and caveats. Put specialized branches in supporting references and link them from the decision point that needs them. State both what a reference contains and when to read it. Verify every local link resolves within the shipped bundle.

Keep always-loaded descriptions short and specific. Give one trigger for each distinct branch rather than a list of synonyms. Use the project's established vocabulary. Inline an essential rule when a pointer would make it easy to miss; keep longer reference material behind a clear pointer. Split documents only when the split helps a real reader or execution branch.

Make completion observable

Write steps as concrete actions with evidence of completion: source locations inspected, inputs covered, artifacts produced, or observations recorded. Define what to do when evidence is unavailable. Separate observed results, inferences, and hypotheses. Avoid a requirement to claim verification when the role cannot run the relevant check.

State the intended behavior directly. Keep hard prohibitions where they enforce real permission, data, or tool constraints, and provide the permitted path. Resolve routine choices from the assignment rather than inserting a new approval gate. Require user input only for material unknown decisions or actions outside existing authorization.

Package skills deliberately

Supply YAML name and description. Choose model invocation for a workflow the agent needs to discover on its own. Set disable-model-invocation: true for an explicit command that should run only when requested; use a short human-facing description and avoid preloading it into unrelated members. Respect the host's supported metadata rather than assuming every platform implements the same frontmatter.

Ship only resources referenced by a useful workflow. Preserve attribution and required licenses for adapted material. Keep scripts and tools within the agent's actual permissions. Use Oya Browser exclusively for browser instructions. Inspect available tool schemas instead of inventing tool names or parameters.

Prune and review

Keep each behavioral rule in one authoritative place. Reference discoverable configuration instead of caching commands, ports, or directory lists that can go stale. Retain the non-obvious reason and failure mode. Remove duplicated, irrelevant, or ambiguous instructions. Check likely request examples against the trigger, workflow branches, and completion criteria; label this as a static review. Runtime trials require the user's testing authorization.

Complete when an agent can identify when to load the document, what to do, what evidence to return, and how to handle a blocker with its assigned tools.

Adapted from Matt Pocock's productivity skills; see SOURCE.md and LICENSE.

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 For Agents AI skill do?

This skill should be used when creating or editing skills, agent definitions, AGENTS.md, CLAUDE.md, or reference documents intended for agents.

Why use Writing For Agents on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OyadotAI/oya-browser/tree/main/.agents/skills/writing-for-agents. 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 For Agents?

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 For Agents?

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

Is the Writing For Agents AI skill free?

It is published on GitHub by OyadotAI. Check the repository for licensing terms. 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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