MCPInstall

create-client-tool

MUST be used whenever creating an AtlasTool (client-side tool) for an Atlas agent. Do NOT manually write AtlasTool definitions or wire them into useAtlasChat — this skill handles the TypeBox schema, execute function, and hook wiring. This includes tools that fetch data, render UI, call APIs, show charts, query local state, or perform any browser-side action. Triggers: AtlasTool, client tool, add tool, create tool, new tool, tool definition, agent tool.

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/cognitedata/dune-skills --skill create-client-tool
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads create-client-tool automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Create a Client Tool

Scaffold a new AtlasTool named $ARGUMENTS and wire it into the app.

Background

Client tools let the Atlas Agent invoke logic that runs in the browser — rendering charts, querying local state, showing UI panels, triggering navigation, etc. The agent decides when to call the tool; the app executes it and returns a result.

The flow is:

  1. Agent responds with a clientTool action
  2. The library validates the arguments against the TypeBox schema
  3. execute() runs in the browser and returns { output, details }
  4. output (string) is sent back to the agent as the tool result
  5. details (any shape) is available on message.toolCalls for the UI to render

Step 1 — Understand the codebase

Before writing anything, read:

  • The file where useAtlasChat is called (likely src/App.tsx) to find where tools is passed
  • Any existing tool definitions to match the file/naming conventions

Step 2 — Define the tool

Create the tool as a typed constant. Use Type from @cognite/dune-industrial-components/atlas-agent to define the parameters schema — this gives both compile-time types and runtime validation.

import { Type } from "@cognite/dune-industrial-components/atlas-agent";
import type { AtlasTool } from "@cognite/dune-industrial-components/atlas-agent";

export const myTool: AtlasTool = {
  name: "my_tool",            // snake_case — this is what the agent uses to invoke it
  description:
    "One sentence describing what this tool does and when the agent should call it.",
  parameters: Type.Object({
    exampleParam: Type.String({ description: "What this param is for" }),
    optionalNum: Type.Optional(Type.Number({ description: "..." })),
  }),
  execute: async (args) => {
    // args is fully typed from the schema above
    // Do the work here — call APIs, update state, render UI, etc.
    return {
      output: "Plain text summary sent back to the agent",
      details: {
        // Any structured data you want available in the UI via message.toolCalls
      },
    };
  },
};

TypeBox quick reference

SchemaUsage
Type.String()string
Type.Number()number
Type.Boolean()boolean
Type.Literal("foo")exact value
Type.Union([Type.Literal("a"), Type.Literal("b")])enum
Type.Array(Type.String())string[]
Type.Object({ ... })object
Type.Optional(...)mark any field optional

Always add a description to each field — the agent uses these to understand what to pass.


Step 3 — Wire into useAtlasChat

Find the useAtlasChat call and add the tool to the tools array:

const { messages, send, ... } = useAtlasChat({
  client: isLoading ? null : sdk,
  agentExternalId: AGENT_EXTERNAL_ID,
  tools: [myTool],   // add here
});

Step 4 — Render tool results (if needed)

If the tool returns structured details, render them in the message list. message.toolCalls is a ToolCall[] — one entry per tool call (client-side and server-side) in call order.

{msg.toolCalls?.map((tc, i) => (
  // tc.name    — tool name
  // tc.output  — the string sent back to the agent
  // tc.details — your structured data (cast to your known shape)
  <MyToolOutput key={i} data={tc.details as MyToolDetails} />
))}

Done

The agent can now invoke $ARGUMENTS. Describe what it does clearly in the description field — the agent relies on that string to decide when and how to call the tool.

FAQ

What does the create-client-tool skill do?

MUST be used whenever creating an AtlasTool (client-side tool) for an Atlas agent. Do NOT manually write AtlasTool definitions or wire them into useAtlasChat — this skill handles the TypeBox schema, execute function, and hook wiring. This includes tools that fetch data, render UI, call APIs, show charts, query local state, or perform any browser-side action. Triggers: AtlasTool, client tool, add tool, create tool, new tool, tool definition, agent tool.

How do I install create-client-tool?

Run npx skills add https://github.com/cognitedata/dune-skills --skill create-client-tool in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/create-client-tool/ (personal) or .claude/skills/create-client-tool/ (project).

Which AI agents can use create-client-tool?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is create-client-tool safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains create-client-tool?

It is published by cognitedata in cognitedata/dune-skills. It has 340 recorded installs.

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