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thinking-orbs

Add animated AI activity indicators to React interfaces, with distinct states for searching, reasoning, listening, writing, and creating. The skill covers matching indicators to real tasks, choosing sizes and themes, and providing accessible status announcements.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

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.

설치 방법 보기

이럴 때 유용합니다

  • Showing search and writing states in an AI chat
  • Indicating microphone input in a voice interface
  • Replacing a generic loading spinner
  • Adding status text for screen readers

포함된 파일(3)

  • SKILL.md9.4 KB
  • agents/openai.yaml204 B
  • REFERENCES.md891 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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:

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:

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

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:

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:

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:

<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

<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:

"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:

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.

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