Guides the agent to bootstrap an initial ContextSet (templates, facets, and value searches) by deducing key information from the database schema and generating a ContextSet file.
Quellsprache: Englisch
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SkillsMP hat 7 Skills aus GoogleCloudPlatform/db-context-enrichment gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
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Guides the agent to bootstrap an initial ContextSet (templates, facets, and value searches) by deducing key information from the database schema and generating a ContextSet file.
Quellsprache: Englisch
Guides the agent to perform hill-climbing iterations to improve a ContextSet based on Evalbench evaluation results.
Quellsprache: Englisch
Guidelines and best practices for generating context items (Templates, Facets, Value Searches). Use this skill whenever the user asks to create, author, or generate context for database enrichment, or asks for examples and instructions on how to write…
Quellsprache: Englisch
Generate or expand a golden evaluation dataset of SQL/Question (NLQ+SQL) pairs for evaluating NL-to-SQL translation accuracy on a target database.
Quellsprache: Englisch
Guides the agent to execute an evaluation of a ContextSet against a golden NLQ+SQL dataset using the Evalbench framework.
Quellsprache: Englisch
Orchestrates the initialization workflow for context engineering, and provides helper workflow for setting up database connections by creating or updating tools.yaml configurations.
Quellsprache: Englisch
Context engineering for Gemini Data Analytics API's data agent developer platform tools. Generates, evaluates, and iteratively optimizes a ContextSet (Templates, Facets, Value Searches) to maximize Natural-Language-to-SQL translation accuracy. Use this skill…
Quellsprache: Englisch