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@435f7c7
by googlegoogle/adk-python22k stars
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Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).

Use this Skill: https://skilld.dev/gh/google/adk-python/bigquery-ai-ml

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referencesbigquery_ai_generate_bool.md

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BigQuery AI.Generate_Bool

AI.GENERATE_BOOL generates a boolean value (TRUE or FALSE) based on the prompt.

Syntax Reference

AI.GENERATE_BOOL(
  [ prompt => ] 'PROMPT'
  [, connection_id => 'CONNECTION_ID' ]
  [, endpoint => 'ENDPOINT' ]
  [, model_params => 'MODEL_PARAMS']
  [, request_type => 'REQUEST_TYPE']
)

Input Arguments

Argument Requirement Type Description
prompt Required String The prompt text or
: : : : instruction. :
connection_id Optional String The connection ID to
: : : : use for the LLM. :
endpoint Optional String The model endpoint
: : : : (e.g. :
: : : : 'gemini-2.5-flash'). :
model_params Optional JSON JSON object for model
: : : : parameters (e.g., :
: : : : temperature, :
: : : : max_output_tokens). :
request_type Optional String 'DEDICATED' or
: : : : 'SHARED'. :

Output Schema

Column Name Type Description
result BOOL The generated boolean value.
status STRING API response status (empty on success).
full_response JSON The complete raw JSON response.

Examples

SELECT AI.GENERATE_BOOL(
  'Is this a valid email address? ' || email_address
) as is_valid
FROM `dataset.users`;

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub3mo

    This skill provides a comprehensive interface for BigQuery AI and Machine Learning functions using standard SQL. It includes security considerations regarding the handling of untrusted data within AI-driven queries, which is standard for this type of functionality. Users should apply appropriate data validation when using these features.

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    Risk: LOW · No issues

Signed by skilld at 435f7c7. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

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Activeupdated 6 months ago
metadata
{
  "author": "google-adk",
  "version": "1.0"
}

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