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stryx:data-engineering

When moving data in bulk: a nightly load, a big import, doubled totals after a rerun.

/stryx:data-engineering

Inside its piece: 10 specks, one for each file on its shelf. Its sixteen group-mates glow on the open book behind it. The light splits toward teal, the band of Web and data.

In numbers

counted 2026-10-12 in the installed set
  • 8reference files
  • 10files in the skill
  • 134KB on disk
  • 3chapters

Use it when

in the skill’s own words

When moving or shaping data in bulk

    • building or fixing a data pipeline
    • an ETL or ELT job
    • a nightly load
    • a bulk import or data migration of POS
    • Excel or CSV exports into SQLite or a reporting database
    • totals doubled after a rerun
    • duplicate rows
    • a job that died halfway or never ran
    • a late or corrected file
    • a vendor column rename that loaded NULLs
    • a pandas script that is slow or hits MemoryError
  • Converting CSV to Parquet
    • choosing CSV
    • JSON lines or Parquet
    • DuckDB
    • polars or pandas
    • batch or streaming
    • whether Spark is needed

Not for

another skill does it
  • Python itself stryx:python
  • Getting data off websites stryx:scraping
  • Embeddings stryx:rag
  • Server databases stryx:databases
  • SQLite or sql.js schema work the stryx:database-expert agent
  • Parsing one value or format the stryx:regex-and-parser agent
  • An app's Excel and PDF exports the stryx:excel-pdf agent

What it covers

6 parts
  • incremental loads
  • backfills
  • idempotent jobs
  • data quality checks
  • schema contracts
  • Task Scheduler jobs and summary tables

Inside the book

3 chapters, by title only
  1. Core procedure
  2. Report shape
  3. Quick reference: facts that are easy to get wrong

Works with

the skills it names most

Claude loads it by itself when the moment comes; by hand, type the line at the top. It comes with the whole set: Installs all 94 skills, 32 agents and the brain program as one set. The skill’s own text is private source and is not shown here.