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rangching/taiwan-scientific-agent-skills

v1.1.0MIT

臺灣學術界適用的繁體中文科學 Agent Skills 庫(中英雙語對照),衍生自 K-Dense Scientific Agent Skills。Ready-to-use scientific Agent Skills for Taiwan academia (zh-Hant-TW / English).

exploratory-data-analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain formats are reference-only and unknown formats fail closed.

Version
1.2
License
MIT
Compatibility
Bundled core CLIs require Python 3.11+ and are local/network-free; the complete pinned optional snapshot requires Python 3.12+, uv, and format-specific libraries listed below.
Read SKILL.md at the source

Pinned to revision 70a605012eee, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

  • Read
  • Write
  • Edit
  • Bash
  • Glob

Files

Every link opens the file at its source, pinned to the revision this page describes.