Agent Design logo

Agent Design

Organization
vstorm-co
agent-design

Turn "I need an agent for X" into a design - its one job, what it may do, what it knows, who approves.

Overview

Publishervstorm-co
Repositoryagenticos
Skill nameagent-design
Stars
137
Forks
27
Bundled files
Instructions only
LicenseApache-2.0
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 vstorm-co on GitHub. Read the source before you install it.

Installation

Install the Agent Design 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/vstorm-co/agenticos/tree/main/backend/app/core/catalog/skill_gallery/software/agent-design
  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/vstorm-co/agenticos.git /tmp/agenticos
mkdir -p .claude/skills
cp -r /tmp/agenticos/backend/app/core/catalog/skill_gallery/software/agent-design .claude/skills/agent-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Design 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 Agent Design 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 Agent Design 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.

Designing an agent

Ask before building. One question at a time, with likely answers offered.

Choose the workspace first

For ongoing research, writing, coding, a wiki or analysis across conversations, propose Projects before designing a new agent. Read the Projects page in the agenticos-guide skill. Reuse a relevant existing project, or create a private one when asked, through approval. Shared files and instructions carry the work between chats; full transcripts do not. A shared server workspace needs a service sandbox for code execution. Desktop can instead use an approved local folder and local browser for the conversation, without changing the agent spec. Ask where the work should happen; a local folder is personal and is not shared by inviting people to the project. Mobile does not supply a desktop execution environment. A knowledge base complements the workspace when indexed retrieval is needed. A one-off answer needs neither a project nor a new agent. Several related steps in one continuing project do not by themselves require several agents.

The questions

  1. What is the one job? Split into specialists only when the jobs need different instructions, access or tools.
  2. Who talks to it? Customers, a team, everyone - this decides where it is published (chat, website widget, Slack) and who may run it.
  3. What must it know? Documents become a knowledge base; standing facts ("our office hours") become a context file; a repeatable procedure becomes a skill.
  4. What must it do? Each action is a capability: searching the web, reading files and running code in a sandbox, drawing charts, publishing pages, calling a company tool through MCP.
  5. What needs a person's yes? Anything that sends, changes or spends - e-mails, writes to a CRM, payments - waits for approval.
  6. What may it spend? A monthly budget in dollars; start low.

Shape the answer as

Name · one-line description · instructions (see the agent-instructions skill) · capabilities · knowledge · approvals · budget · where it is published. Then create the draft and link the person to it in the Builder to try it before publishing.

Prefer

Fewer capabilities over more: every tool is one more thing the model can get wrong. Delegation to a specialist over one agent doing everything.

Frequently asked questions

What does the Agent Design AI skill do?

Turn "I need an agent for X" into a design - its one job, what it may do, what it knows, who approves.

Why use Agent Design on TypingMind?

Because you install it once and use it with any model. Agent Design 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 Agent Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vstorm-co/agenticos/tree/main/backend/app/core/catalog/skill_gallery/software/agent-design. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent Design?

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 Agent Design?

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

Is the Agent Design AI skill free?

Yes. It is published on GitHub by vstorm-co under the Apache-2.0 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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