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Core TokSearch Pipeline workflow — creating pipelines, fetch/map/where/keep, record data access, and iterating results
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
TokSearch compute backends — serial, multiprocessing, Ray, and Spark; when to use each and configuration options
TokSearch xarray dataset integration — fetch_dataset and align for multi-signal time-aligned analysis
MdsSignal for fetching MDSplus tree data — constructor args, location formats, TDI expressions, dims, and DIII-D efit01 signals via FDP/Pelican
| name | toksearch-pipeline |
| description | Core TokSearch Pipeline workflow — creating pipelines, fetch/map/where/keep, record data access, and iterating results |
| user-invocable | false |
| license | Apache-2.0 |
| compatibility | Claude Code |
| metadata | {"author":"GA-FDP","version":"2.0","url":"https://ga-fdp.github.io/toksearch/"} |
The canonical Pipeline documentation lives in the toksearch package docstring.
Access it with: help(toksearch) or python -c "help(toksearch)"
Covers: Pipeline creation, fetch/map/where/keep, Records, signal data format, error handling, backends, datasets, alignment, working with results (DataFrame conversion), and critical API gotchas.
