claude

data-engineering

Prove that migrated, converted or rewritten SQL returns the same result as the original: statements mapped one to one, two-way key diffs, and checkers shown to catch seeded differences.

0 on GitHubby modootodayv0.3.0MITupdated 24 days ago
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Plugin data-engineering from marketplace modootoday in modootoday/marketplace. Commands read from the repo's manifest — 23 days ago.

What it installs

Skills (6)

  • bagit-completeness-fixity-audit

    Separate BagIt structural completeness from checksum validity using bag inventory, manifests, fetch entries and full digest evidence. Use when fast validation passed, a transferred bag needs fixity review or missing payloads must be distinguished from changed bytes. Not for repairing, downloading or

  • dbt-model-refactor-and-docs

    Split a large warehouse or dbt model into staging and intermediate models without changing its output, explain a model's upstream and downstream path from compiled SQL and lineage, and bring model and column descriptions in line with the real selected columns. Use when someone wants to decompose a l

  • multi-file-lab-workbook-harmonization

    Merge many lab or instrument workbooks of similar but not identical layout into one table - inventory every file and sheet (header row, columns, units, date format), group files by layout variant, write a target schema with a per-variant column mapping, convert units and dates by explicit rules, rec

  • ocr-pdf-text-image-alignment-check

    Compare a saved searchable PDF's text positions with its visible scans and approved page anchors. Use when OCR words look plausible but highlights shift, rotate or omit pages, or a sidecar is offered as proof. Not for PDF reading-order audits or redaction.

  • semi-structured-field-extraction

    Turn log lines, bench or test data and JSON documents into typed columns and a plot-ready table - inspect real samples and list every field, unit and type variation, map each source field to a column with an explicit cast and a policy for missing, string, array and wrong-type values, verify row coun

  • sql-migration-equivalence-check

    Prove that a migrated, dialect-converted, optimized or extended SQL query or table returns the same result as the original - number the statements in source and converted script, write row-count, two-way key anti-join and null-safe per-column diff queries, seed deliberate differences to show the che

View source on GitHub

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education

claude

Reading passages that hit a measured grade level, language drills, and teacher-side checks for coverage, answer keys, lesson timing, study calendars and rule-valid puzzles, with the numbers and logs shown.

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Growth and community work: store listings written for the people searching that store, Discord servers run with structure and consistent moderation, newsletters readers open and finish, a month of social posts a small team can ship, launch emails that lead with what changed, and sites submitted to Google, Naver and IndexNow engines from a pipeline.

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Early product-planning steps done carefully: spar on an idea, frame the problem behind a request, synthesize feedback without overstating it, rank a backlog while saying where the ranking is fragile, write a Korean PRD with testable acceptance criteria, and put a decision on one page with the recommendation first.

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Korean content that reads well and stays true: product copy fixed to the Toss writing principles, Naver blog posts planned for search, persona tone measured with markers, and ghostwriting that never invents the author's facts.

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Maintain data-engineering?

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claude & codex plugins74 plugins