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proofreader-api — Claude Code skill for the browser Proofreader API

A skill that walks an agent through browser Proofreader API integration: availability checks, model download monitoring, proofreading and correction handling. Useful when adding built-in proofreading to a web app.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add webmaxru/web-ai-agent-skills --skill proofreader-api -a claude-code
Open on GitHub

What proofreader-api does

The skill runs the agent through five steps. First it inspects the workspace for browser entry points and runs node scripts/find-proofreader-targets.mjs . to inventory likely frontend files and existing Proofreader API markers. Then it reads the references/ docs on API options, examples, browser compatibility and troubleshooting.

Next the agent adapts assets/proofreader-session.template.ts to your framework and gates session creation behind Proofreader.availability(). Sessions are created only after user activation when the browser may need to download a model, and download progress goes through the monitor option. Cancellation uses AbortController, and a session must be destroyed with destroy() once the UI is done with it.

One hard limit: the Proofreader API is window-only, so it will not run in a worker or on a server. It also needs a secure context and the proofreader permissions-policy feature — a blocked frame throws NotAllowedError. For browsers without support, the skill insists on a non-AI fallback.

What it helps with

  • check whether the browser supports the Proofreader API
  • create a proofreading session after user activation
  • show model download progress in the UI
  • parse the corrections array and render diffs
  • cancel a long proofread with AbortController

Example prompts for the agent

  • Add built-in proofreading to the editor with the Proofreader API
  • Check Proofreader availability and create a session with download monitoring
  • Debug a NotAllowedError thrown when creating a proofreading session

How to install proofreader-api

1Skills CLI (Vercel)

npx skills add webmaxru/web-ai-agent-skills --skill proofreader-api -a claude-code

2Manually: put the files in place

~/.claude/skills/proofreader-api/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/proofreader-api/

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

Questions about proofreader-api

How do I install proofreader-api in Claude?

Run npx skills add webmaxru/web-ai-agent-skills --skill proofreader-api -a claude-code. The skill lands in ~/.claude/skills/proofreader-api/SKILL.md.

What does proofreader-api do?

It guides an agent through adding the browser Proofreader API to a JavaScript or TypeScript app: availability checks, session creation, model download monitoring, correction handling and error triage.

Can I use it for server-side proofreading?

No. The Proofreader API is a window-only browser API and does not run in a worker or on a server. The skill stops and flags the platform mismatch.

Source text

SKILL.md · MIT
---
name: proofreader-api
description: Implements and debugs browser Proofreader API integrations in JavaScript or TypeScript web apps. Use when adding Proofreader availability checks, monitored model downloads, proofread flows, correction metadata handling, or permissions-policy checks for built-in proofreading. Don't use for generic prompt engineering, server-side LLM SDKs, or cloud AI services.
license: MIT
metadata:
  author: webmaxru
  version: "1.4"
---

# Proofreader API

## Procedures

**Step 1: Identify the browser integration surface**
1. Inspect the workspace for browser entry points, editor or form UI handlers, and any existing built-in AI abstraction layer.
2. Execute `node scripts/find-proofreader-targets.mjs .` to inventory likely frontend files and existing Proofreader API markers when a Node runtime is available.
3. If a Node runtime is unavailable, inspect the nearest `package.json`, HTML entry point, and framework bootstrap files manually to identify the browser app boundary.
4. If the workspace contains multiple frontend apps, prefer the app that contains the active text-entry route, editor component, or user-requested proofreading surface.
5. If the inventory still leaves multiple plausible frontend targets, stop and ask which app should receive the Proofreader API integration.
6. If the project is not a browser web app, stop and explain that this skill does not apply.

**Step 2: Confirm API viability and option shape**
1. Read `references/proofreader-reference.md` before writing code.
2. Read `references/examples.md` when the feature needs session creation, download monitoring, result rendering, or quota-aware preflight.
3. Read `references/compatibility.md` when preview flags, browser channels, hardware requirements, iframe constraints, or browser-specific option gaps matter.
4. Read `references/troubleshooting.md` when feature detection, availability, creation, or proofreading fails.
5. Verify that the feature runs in a secure `Window` context and that the current frame is allowed to use the `proofreader` permissions-policy feature.
6. Match `availability()` and `create()` option shapes exactly, especially for `expectedInputLanguages`, `includeCorrectionTypes`, `includeCorrectionExplanations`, and `correctionExplanationLanguage` when the target browser supports them.
7. If the feature must run in a worker, on the server, or through a generic text-generation interface, stop and explain the platform mismatch.
8. If the project uses TypeScript, add or preserve typings that cover only the Proofreader API surface actually used by the feature.

**Step 3: Implement a guarded proofreader wrapper**
1. Read `assets/proofreader-session.template.ts` and adapt it to the framework, state model, and file layout in the workspace.
2. Gate session creation behind `Proofreader.availability()` using the same non-transient create options that the runtime session will use.
3. Treat `availability()` as a capability check, not a guarantee that creation will succeed without user activation, download time, or policy approval.
4. Create sessions only after user activation when the target browser may need to start a model download.
5. Use the `monitor` option during `create()` when the UI needs download progress.
6. Use `AbortController` for cancelable create or proofread calls, and call `destroy()` when the proofreading UI no longer needs the session.
7. Recreate the session instead of mutating option-dependent behavior after creation; session options are fixed per instance.
8. If the task requires correction labels or explanations, keep browser-specific fallbacks explicit instead of assuming every preview implements the full specification option set.

**Step 4: Wire UX and result handling**
1. Surface distinct states for missing APIs, unavailable devices, downloadable or downloading models, ready sessions, in-flight proofreading, canceled work, and hard failures.
2. Keep a non-AI fallback for unsupported browsers, blocked frames, or devices that do not meet the current preview requirements.
3. Render both `correctedInput` and the structured `corrections` array when the product needs visible diffs or selective acceptance.
4. Use `measureInputUsage()` before expensive proofreading only when the feature needs quota-aware behavior or large-input preflight.
5. Keep expected input languages explicit when the feature depends on supported language routing.
6. Do not use Proofreader as a general chat, summarization, or rewriting surface; switch to the correct built-in API when the task is not proofreading.

**Step 5: Validate behavior**
1. Execute `node scripts/find-proofreader-targets.mjs .` to confirm that the intended app boundary and Proofreader markers still resolve to the edited integration surface.
2. Verify feature detection, secure-context checks, permissions-policy access, and `availability()` behavior before debugging deeper runtime failures.
3. Test session creation with the exact options used in production, including download progress handling when the environment needs an initial model download.
4. Confirm that `proofread()` returns the expected `correctedInput` and correction ranges for representative user text.
5. If the integration uses `measureInputUsage()`, confirm that large inputs are rejected or trimmed before the browser throws quota-related failures.
6. Confirm that cancellation stops work cleanly and that destroyed sessions are not reused.
7. If the target environment depends on preview flags, origin trials, or channel-specific behavior, confirm the required browser state from `references/compatibility.md` before treating failures as application bugs.
8. Run the workspace build, typecheck, or tests after editing.

## Error Handling
* If `Proofreader` is missing, keep a non-AI fallback and confirm that the environment satisfies the secure-context, browser, and preview requirements before changing product logic.
* If `availability()` returns `downloadable` or `downloading`, require user-driven session creation before promising that proofreading is ready.
* If `create()` or `proofread()` throws `NotAllowedError`, check permissions-policy constraints, missing user activation for downloads, browser policy restrictions, or user rejection.
* If `create()` or `proofread()` throws `NotSupportedError`, align the requested languages and option set with the browser's supported combinations and remove unsupported preview-only assumptions.
* If creation fails with `OperationError`, `UnknownError`, or another runtime exception, retry once only after confirming that device eligibility, storage, and browser flags still match `references/compatibility.md`.
* If the feature must run in a worker or server context, stop and explain that the Proofreader API is a window-only browser API.

© webmaxru · MIT · webmaxru/web-ai-agent-skills

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