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Using Generic Agents

Organization
ed3dai
using-generic-agents

Use to decide what kind of generic agent you should use

Overview

Publishered3dai
Repositoryed3d-plugins
Skill nameusing-generic-agents
Stars
249
Forks
33
Bundled files
Instructions only
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 ed3dai on GitHub. Read the source before you install it.

Installation

Install the Using Generic 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.
  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/ed3dai/ed3d-plugins.git /tmp/ed3d-plugins
mkdir -p .claude/skills
cp -r /tmp/ed3d-plugins/plugins/ed3d-basic-agents/skills/using-generic-agents .claude/skills/using-generic-agents
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using Generic 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 Using Generic 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 Using Generic 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.

CRITICAL: Your operator's direction supercedes these directions. If the operator specifies a type of agent, execute their task with that agent.

Model Characteristics

Haiku: Excellent at following specific, detailed instructions. Poor at making its own decisions. Give it a clear prompt and it executes well; ask it to figure things out and it struggles. Be detailed.

Sonnet: Capable of making decisions but gets off-track easily. Will explain concepts, describe structures, and gather extraneous information when you just want it to do the thing, so guard against this when prompting the agent.

Opus: Stays on-track through complex tasks. Better judgment, fewer loops. Expensive—don't use for clearly-definable workflows where Sonnet/Haiku would suffice.

When to Use Each

Use haiku-general-purpose for:

  • Well-defined tasks with detailed prompts
  • High-volume parallel workflows (cost matters)
  • Simple execution where speed > quality

Use sonnet-general-purpose for:

  • Multi-file reasoning and debugging
  • Tasks requiring some judgment
  • Daily coding work (80-90% of tasks)

Use opus-general-purpose for:

  • Tasks requiring sustained focus and judgment
  • When Sonnet keeps wandering or looping
  • Complex analysis where staying on-track matters
  • High-stakes decisions needing nuance

Frequently asked questions

What does the Using Generic Agents AI skill do?

Use to decide what kind of generic agent you should use

Why use Using Generic Agents on TypingMind?

Because you install it once and use it with any model. Using Generic 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 Using Generic Agents in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ed3dai/ed3d-plugins/tree/main/plugins/ed3d-basic-agents/skills/using-generic-agents. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Using Generic 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 Using Generic Agents?

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

Is the Using Generic Agents AI skill free?

It is published on GitHub by ed3dai. 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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