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spellcheck

✓ Official★ 158

by brave · part of brave/brave-search-skills

USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or…

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🧩 One of 7 skills in the brave/brave-search-skills package — works on its own, and pairs well with its siblings.

USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or…

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This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by brave

USE FOR spell correction. Returns corrected query if misspelled. Most search endpoints have spellcheck built-in; use this only for pre-search query cleanup or… npx skills add https://github.com/brave/brave-search-skills --skill spellcheck Download ZIPGitHub158

Spellcheck

Requires API Key: Get one at https://api.search.brave.com

Plan: Included in the Spellcheck plan. See https://api-dashboard.search.brave.com/app/subscriptions/subscribe

Endpoint

Copy & paste — that's it
GET https://api.search.brave.com/res/v1/spellcheck/search

Authentication: X-Subscription-Token: <API_KEY> header

Parameters

Parameter Type Required Default Description q string Yes — Query to spell check (1-400 chars, max 50 words) lang string No en Language preference (2+ char language code, e.g. en, fr, de, pt-br, zh-hans). 51 codes supported country string No US Search country (2-letter country code or ALL)

Response Fields

Field Type Description type string Always "spellcheck" query.original string The input query as submitted results array Spell-corrected suggestions. May be empty when no correction is found results[].query string A corrected version of the query

Example Response

Copy & paste — that's it
{
 "type": "spellcheck",
 "query": {
 "original": "artifical inteligence"
 },
 "results": [
 {
 "query": "artificial intelligence"
 }
 ]
}

Use Cases

  • Pre-search query cleanup: Check spelling before deciding which search endpoint to call

  • "Did you mean?" UI: Show users a corrected suggestion before running the search

  • Batch query normalization: Clean up user inputs in bulk

Notes

  • Built-in alternative: Web Search and LLM Context have spellcheck=true by default — use this standalone endpoint only when you need the correction before searching

  • Context-aware: Corrections consider the full query context, not just individual words