toolkit-core
claudephData Toolkit CLI foundation: install, PATH setup, project init, JDBC connection/datasource configuration
4 skills · hooks
Synthetic, fake, mock, and test data via toolkit datagen: the agent writes a data spec, the toolkit generates related tables at any volume to CSV or into a database, reproducibly via a seed
Plugin toolkit-datagen from marketplace phdata in phdata/agent-marketplace. Commands read from the repo's manifest — 5 days ago.
from-sourceCreate synthetic data shaped like an existing database — same tables, columns, types, and plausible values — without copying real rows, using toolkit datagen scan. Use when the user wants test or demo data "like production", a masked or synthetic copy of a schema, or to seed a dev environment that m
generateGenerate synthetic, fake, mock, dummy, sample, seed, or test data — for one table or many related tables — as CSV files or loaded straight into a database (Snowflake, SQL Server, Postgres, MySQL, Databricks, Oracle, SQLite). Use whenever the user asks for made-up rows, test fixtures at volume, demo
phData Toolkit CLI foundation: install, PATH setup, project init, JDBC connection/datasource configuration
4 skills · hooks
Assess an Informatica PowerCenter estate with collect etl, ds lineage, and migration plan: dependency-ordered scored migration waves and an inventory, offline-capable, no LLM required
3 skills
Convert Informatica PowerCenter mappings into Snowflake or Databricks pipelines via agent etl-extract, discovery with a grouped human-review queue, and pipeline-build — one migration-plan group at a time, or a small corpus in a single pass
2 skills
Dataspec-driven pipeline generation via toolkit agent discovery and pipeline-build: SQL, dbt, or PySpark transforms plus tests and a datagen spec
2 skills
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