40 tagged data transformation, measured the same way as everything else here.
Browse within: data 34business-intelligence 33data-modeling 33data-visualization 33
Skill Claude CodeCodex
Cut a Malloy Publisher release, and write the RELEASENOTES.md entries a release ships. Use when asked to release, cut a release, ship a version, or publish Publisher to npm/Docker — and when a change needs a release note, or you are deciding whether it does and what version to stamp on it.
Skill Claude CodeCodex
Build or modify a Malloy Publisher dashboard, a tagged .malloy file in a package's dashboards/ directory, with auto-rendered filter controls, a grid layout, and # drill click-through. Use when the user asks for a dashboard, a filterable operational view, or drill-through between views, and no code is wanted.
Skill Claude CodeCodex
Common Malloy modeling mistakes and how to avoid them. Read BEFORE writing source definitions, dimensions, measures, or joins. Covers reserved words, NULL checks, date functions, type casts, field management (extend except/accept/rename vs include public/internal/private), and query-based source gotchas.
manutej/luxor-claude-marketplace
Skill Claude CodeCodex
Complete guide for dbt data transformation including models, tests, documentation, incremental builds, macros, packages, and production workflows.
Skill Claude CodeCodex
Expert-level dbt (data build tool), models, tests, documentation, incremental models, macros, and Jinja templating.
Skill Claude CodeCodex
Query, filter, transform, validate, and convert structured data files (JSON, YAML, TOML, HCL/Terraform, CSV, TSV, Markdown) using the lam CLI. Use when the user asks to extract a field, filter records, aggregate values, check structure, validate against a schema, or convert between formats. Works on config files, API…
Skill Claude CodeCodex
Use for deterministic inspection, reshaping, conversion, validation, or comparison of JSON, JSONL, CSV, TSV, YAML, and Parquet; for adapting one tool's structured output to another tool's input; or when a large payload should be summarized and transformed without model-generated data rewriting.