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benjitaylor
agentation

Add Agentation visual feedback toolbar to a Next.js project

Overview

Publisherbenjitaylor
Repositoryagentation
Skill nameagentation
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4.8K
Forks
390
Bundled files
Instructions only
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  • 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 benjitaylor on GitHub. Read the source before you install it.

Installation

Install the Agentation 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/benjitaylor/agentation/tree/main/skills/agentation
  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/benjitaylor/agentation.git /tmp/agentation
mkdir -p .claude/skills
cp -r /tmp/agentation/skills/agentation .claude/skills/agentation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agentation 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 Agentation 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 Agentation 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.

Agentation Setup

Set up the toolbar and, when requested, connect it to the user's coding agent. A visible toolbar and a healthy MCP server do not prove that browser feedback reaches the agent. Verify that final step before calling setup complete.

Steps

  1. Inspect the project

    • Read the project's instructions and detect its package manager.
    • Look for agentation and an existing <Agentation> mount before installing.
    • If already mounted, inspect its endpoint and current MCP setup. Do not exit just because the component exists, and do not add a duplicate mount.
    • Install agentation if missing, using the existing lockfile's package manager.
  2. Choose the connection mode from the request

    • For MCP or live agent feedback, use the same HTTP server URL as the agent. The default local server is http://localhost:4747; preserve an existing custom port or proxy URL. Never assume the browser and agent use the same machine when the project is remote.
    • For manual copy/paste only, omit endpoint and explain that feedback remains in this browser. Do not silently enable a server connection.
    • If the intended mode is unclear, ask one brief question while inspecting the existing project. Keep working on independent setup checks.
  3. Add or update the component

    For a Next.js App Router project, render in the root layout's body after children. For Pages Router, render after Component in pages/_app. Preserve any existing callbacks and options.

    tsx
    import { Agentation } from "agentation";
    
    // Use the actual server URL selected above for MCP sync:
    {process.env.NODE_ENV === "development" && (
      <Agentation endpoint="http://localhost:4747" />
    )}

    The package provides its own client boundary. Keep the application's root layout server-rendered unless the project has another reason to change it.

  4. Configure the agent when MCP was requested

    • Use the project's existing MCP client and configuration conventions.
    • The launch command must include the server subcommand: npx -y agentation-mcp server.
    • For supported agents, npx add-mcp "npx -y agentation-mcp server" is one setup option. For Claude Code, use claude mcp add agentation -- npx -y agentation-mcp server or the init wizard.
    • Apply the same custom port to the server command and component endpoint.
    • Restart or reconnect the agent when its configuration requires it. Do not create a second HTTP server on a port already owned by the working server.
  5. Verify the complete connection

    • Run npx agentation-mcp doctor for service diagnostics. For a custom URL, use doctor --http-url <url> when supported by the installed version.
    • Open the app and create one clearly identified test annotation through the toolbar. Read it with agentation_get_all_pending or session-scoped tools.
    • Check the exact test comment and page, not just a nonzero count or health response. Leave unrelated annotations alone.
    • If annotations are empty, check the component endpoint, browser network failures/CORS, and whether the agent and browser point to the same server.
    • If browser or MCP tools are unavailable, say exactly which part remains unverified and give the user this final check. Do not claim live sync works.

Notes

  • The development guard prevents the toolbar from appearing in production.
  • Agentation requires React 18 or newer.
  • Installing the toolbar does not install, configure or connect an MCP server.
  • Manual copy mode is supported and does not need a running server.

Frequently asked questions

What does the Agentation AI skill do?

Add Agentation visual feedback toolbar to a Next.js project

Why use Agentation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/benjitaylor/agentation/tree/main/skills/agentation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agentation?

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 Agentation?

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

Is the Agentation AI skill free?

It is published on GitHub by benjitaylor. 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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