claude

db-context-engineering

Context Engineering Agent for generating context (templates, facets, value searches) for natural language to SQL task.

43 on GitHubby Google Cloud Platformv0.8.1Apache-2.0updated 3 days agodata
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Plugin db-context-engineering from marketplace db-context-enrichment-marketplace in GoogleCloudPlatform/db-context-enrichment. Commands read from the repo's manifest — 3 days ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (7)

  • context-engineering-bootstrap

    Generate a baseline ContextSet (Templates, Facets, Value Searches) from a target database's schema (and optional design docs / application code) and save to a caller-specified path. Optionally upload to the Context Set server. Don't use when a user asks to build, validate, or improve a context set

  • context-engineering-dataset-generation

    Generate or expand a golden evaluation dataset of SQL/Question (NLQ+SQL) pairs for evaluating NL-to-SQL translation accuracy on a target database. Don't use for generating context items (Templates, Facets, Value Searches) or running Evalbench evaluations.

  • context-engineering-evaluate

    Guides the agent to execute an evaluation of a ContextSet against a golden NLQ+SQL dataset using the Evalbench framework, either standalone or as one iteration of the hill-climbing loop.

  • context-engineering-generation-guide

    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 templates, facets, or value searches. It helps b

  • context-engineering-hillclimb

    Autonomously improve a ContextSet by iterating evaluate → analyze → mutate → re-upload until convergence, given a golden dataset and (optionally) a base context. The user supplies inputs once; no per-iteration approval needed.

  • context-engineering-init

    Configures the workspace and environment for database context engineering — manages Toolbox `tools.yaml` database connections, verifies runtime and GCP readiness (uv, Evalbench, ADC, Dataplex/GDA APIs, IAM), records workspace defaults once in `workspace_state.md`, initializes or clones each experime

  • context-engineering-workflow

    Use this skill when the user is new to context engineering, asks how to get started, or is unsure which peer skill to invoke. Explains the ContextSet concepts (Templates, Facets, Value Searches), the optimization lifecycle, and routes to the right peer skill (init, dataset-generation, bootstrap, eva

MCP servers (3)

  • ctxeng

    runs: uvx [email protected]

  • toolbox

    runs: uvx [email protected] --config .context-engineering/tools.yaml --stdio

  • ctxset

    connects to: https://dataplex.googleapis.com/mcp/managed-context-sets

View source on GitHub

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