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thinking-orbs — Claude Code skill: what it does, how to install

Guides coding agents to implement animated AI status indicators using the React thinking-orbs package. Useful for chat interfaces, copilot sidebars, and search tools.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add MengTo/Skills --skill thinking-orbs -a claude-code
Open on GitHub

What thinking-orbs does

This skill teaches agents how to integrate the <ThinkingOrb> component from the thinking-orbs library. The package renders monochrome dots on a transparent 2D canvas without WebGL or SVG filters. It ships with six semantic states: working, searching, solving, listening, composing, and shaping.

Geometry is deliberately restricted. It supports only two tuned sizes: 20 for buttons or compact rows and 64 for chat avatars or empty states. The library does not show determinate progress percentages. In Next.js App Router, the component must sit behind a 'use client' boundary because it mounts browser canvas effects and observers.

Accessibility and performance come built-in. It pauses via IntersectionObserver when scrolled offscreen and stops in background tabs. Under prefers-reduced-motion, it renders a single static frame while still following theme changes. Freezing active animations must use the paused prop rather than setting speed={0}.

What it helps with

  • replace generic loading spinners with semantic AI activity states
  • map agent lifecycle stages to visual orb animations in React 18
  • configure screen reader status announcements without duplicate ARIA live regions
  • embed compact 20px loading indicators into buttons and status bars

Example prompts for the agent

  • Add a ThinkingOrb indicator in searching state next to the query input
  • Create an agent status component with thinking-orbs mapped to our pipeline phases
  • Display a size 64 solving orb while the AI model reasons through the task

How to install thinking-orbs

1Skills CLI (Vercel)

npx skills add MengTo/Skills --skill thinking-orbs -a claude-code

2Manually: put the files in place

~/.claude/skills/thinking-orbs/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/thinking-orbs/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about thinking-orbs

How to install thinking-orbs in Claude Code?

Run npx skills add MengTo/Skills --skill thinking-orbs -a claude-code in your terminal.

What does the thinking-orbs skill do?

It instructs your coding assistant on integrating the thinking-orbs React library. The agent learns how to select states, manage sizing presets, handle themes, and wire accessibility.

What are the peer dependency and sizing requirements?

The package requires react and react-dom version 18 or newer. It only supports 20 and 64 pixel sizes without custom scaling.

Source text

SKILL.md · MIT
---
name: thinking-orbs
description: Add accessible animated AI loading and agent-status indicators with the React thinking-orbs library. Use when a chat, copilot, voice, search, generation, or tool-running interface needs a semantic working, searching, solving, listening, composing, or shaping state; when replacing a generic spinner with an AI activity orb; or when implementing the library's size, theme, speed, pause, reduced-motion, and canvas behavior.
---

# Thinking Orbs

## Core Contract

1. Use `thinking-orbs` in React 18+ interfaces that need indeterminate AI activity feedback.
2. Map the real product lifecycle to one of the six shipped states.
3. Use only the tuned `20` or `64` pixel size. Do not stretch one preset into another.
4. Keep `theme="auto"` unless the surrounding surface has a known fixed theme.
5. Pair the orb with concise visible status text when the activity matters to the user.
6. Override `aria-label` with a task-specific label, or hide the orb from assistive technology when adjacent live text already announces the same state.
7. Use `paused` to freeze the current frame. Do not simulate pause with `speed={0}`.
8. Treat the orb as indeterminate feedback, never as a progress percentage or completion signal.

The package renders monochrome dots on a transparent 2D canvas. It does not expose custom colors, arbitrary sizes, or determinate progress.

## Install

Inspect the project package manager, then install:

```bash
npm install thinking-orbs
```

The package declares `react` and `react-dom` version 18 or newer as peer dependencies. Import the component and exported types from the package root:

```tsx
import {
  ThinkingOrb,
  type OrbSize,
  type OrbState,
  type OrbTheme,
  type ThinkingOrbProps,
} from "thinking-orbs";
```

## Choose the State

- `working` — generic tool execution, multi-step work, or an activity without a more precise state.
- `searching` — retrieval, web search, file search, or knowledge lookup.
- `solving` — reasoning, analysis, calculation, or planning.
- `listening` — microphone input, speech capture, or waiting for a spoken turn.
- `composing` — writing, summarizing, drafting, or generating a text response.
- `shaping` — creating or refining an image, layout, structured artifact, or other formed output.

Prefer a truthful generic `working` state over a visually interesting but inaccurate state. Change the state only when the underlying activity changes.

## Choose the Size

- Use `size={20}` inline with text, inside buttons, or in compact status rows.
- Use `size={64}` at chat-avatar scale, in an empty state, or as the main visual status.

The presets have different dot counts, dot sizes, and speed tuning. They are separate designs rather than a scale factor. If the layout needs more surrounding space, size the wrapper instead of applying CSS transforms to the canvas.

## Basic Usage

```tsx
import { ThinkingOrb } from "thinking-orbs";

export function AgentStatus() {
  return (
    <ThinkingOrb
      state="searching"
      size={20}
      theme="auto"
      aria-label="Searching project files…"
    />
  );
}
```

All other canvas props pass through, including `className`, `style`, `data-*`, event handlers, and ARIA attributes.

## Model the Product Lifecycle

Keep product phases separate from visual states so the mapping stays explicit:

```tsx
import { ThinkingOrb, type OrbState } from "thinking-orbs";

type AgentPhase =
  | "idle"
  | "retrieving"
  | "reasoning"
  | "writing"
  | "creating"
  | "done"
  | "error";

const ORB_BY_PHASE: Partial<Record<AgentPhase, OrbState>> = {
  retrieving: "searching",
  reasoning: "solving",
  writing: "composing",
  creating: "shaping",
};

export function AgentActivity({ phase }: { phase: AgentPhase }) {
  const state = ORB_BY_PHASE[phase];
  if (!state) return null;

  return <ThinkingOrb state={state} size={20} />;
}
```

Remove the orb on `done`, `error`, cancellation, or idle. Show the appropriate result, retry, or error UI instead of leaving the last activity animation running.

## Announce Status Once

The component defaults to `role="img"` with a per-state label such as “Searching…”. When visible text describes the same state, make the text the single announcement source:

```tsx
export function LiveAgentStatus() {
  return (
    <div role="status" aria-live="polite" className="agent-status">
      <ThinkingOrb state="solving" size={20} aria-hidden="true" />
      <span>Reviewing the repository…</span>
    </div>
  );
}
```

Use `aria-live="polite"` for ordinary phase changes. Avoid rapid label churn. Do not add another hidden live region when `role="status"` already owns the announcement.

## Theme

Use one of:

```tsx
<ThinkingOrb theme="auto" />
<ThinkingOrb theme="dark" />
<ThinkingOrb theme="light" />
```

- `auto` first checks an ancestor `data-theme="dark|light"` attribute or `dark` / `light` class.
- If no ancestor theme exists, `auto` follows `prefers-color-scheme`.
- Theme changes update live.
- `dark` means light dots intended for a dark background.
- `light` means dark dots intended for a light background.

The canvas is transparent. Verify contrast against the actual surface rather than the page root alone.

## Speed and Pause

```tsx
<ThinkingOrb state="working" speed={0.85} />
<ThinkingOrb state="composing" paused={isWaitingForApproval} />
```

`speed` multiplies the baked speed of the selected state and size. Start at `1`; use roughly `0.75–1.25` for subtle product tuning. Extreme values can make the hand-tuned motion feel frantic or stalled.

`paused` freezes the current frame while retaining the visual status. Remove the component when the activity has actually ended.

## Next.js and Client Rendering

The component uses React effects, canvas, `requestAnimationFrame`, media queries, and observers. Keep the package import behind a client boundary in the Next.js App Router:

```tsx
"use client";

import { ThinkingOrb } from "thinking-orbs";

export function ThinkingStatus() {
  return <ThinkingOrb state="working" size={20} />;
}
```

The library is SSR-safe because it paints only on the client after resolving the theme. A client boundary is still required where the framework enforces server and client component separation.

## Built-In Runtime Behavior

- Draws with plain Canvas 2D arcs; no WebGL or SVG filters.
- Caps device pixel ratio at `2`.
- Uses one `requestAnimationFrame` loop per visible instance.
- Uses the shared `performance.now()` clock so multiple orbs stay in phase.
- Pauses when the canvas scrolls offscreen through `IntersectionObserver`.
- Pauses when the browser tab is hidden.
- Renders one deterministic static frame under `prefers-reduced-motion: reduce`.
- Continues following live theme changes in reduced-motion mode.

Do not rebuild these behaviors in a wrapper. Add product state management and layout around the component, not a second animation loop.

## Power-User Canvas API

Prefer `<ThinkingOrb>` for product UI. The package also exports its resolved presets and raw frame painters for a custom canvas outside React:

```ts
import { MODE_DRAWS, resolvePreset } from "thinking-orbs";

const { mode, speed, opts } = resolvePreset("searching", 64);
const drawFrame = MODE_DRAWS[mode];

drawFrame(
  context,
  64,
  (performance.now() / 1000) * speed,
  true, // true draws light ink for a dark surface
  opts,
);
```

`STATE_TO_MODE` exposes the internal mapping:

- `working` → `orbits`
- `searching` → `globe`
- `solving` → `rubik`
- `listening` → `wave`
- `composing` → `ribbon`
- `shaping` → `morph`

Use the raw API only when another renderer owns the canvas lifecycle. It provides a frame painter, not component behavior. Reimplement DPR sizing, clearing, animation scheduling, pausing, theme resolution, reduced motion, visibility handling, cleanup, and accessibility when bypassing `<ThinkingOrb>`.

## Verification

Run the project's typecheck, tests, production build, and `git diff --check`. Then verify in a real browser:

1. Trigger every product phase and confirm the mapped orb state is truthful.
2. Confirm `20` and `64` pixel instances are crisp without CSS scaling.
3. Test dark, light, and live theme switching.
4. Test reduced motion and confirm the orb becomes a static representative frame.
5. Scroll the orb offscreen and return; confirm it resumes without visible breakage.
6. Hide and restore the tab; confirm animation resumes.
7. Inspect accessibility: announce the status exactly once and use a task-specific label.
8. Confirm the orb disappears on success, error, cancellation, and idle.
9. Confirm no console errors, hydration warnings, or layout shifts occur.

## Common Pitfalls

- **Type error on size:** use exactly `20` or `64`; do not pass arbitrary dimensions.
- **Wrong contrast:** remember `dark` targets dark backgrounds and therefore draws light ink.
- **Duplicate screen-reader output:** hide the canvas when adjacent `role="status"` text already announces the task.
- **Misleading state:** do not show `searching` during generation or `composing` during microphone capture.
- **Permanent loading UI:** remove the orb when work ends and render the actual terminal state.
- **Hydration or server-component error:** move the import into a client component.
- **Brand color requested:** the public API is monochrome; choose another loader or make an intentional library fork instead of relying on unsupported styling.

## Handoff

Report the mapped product phases, chosen size, theme mode, accessible label strategy, reduced-motion behavior, and build/browser verification. Distinguish local implementation from a deployed release.

© MengTo · MIT · MengTo/Skills

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