identify-terminology

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Identify and classify technical terminology in academic papers. Use when determining which terms need glossing, assessing domain and jargon density, and tracking acronyms for consistent handling.

cyrusae By cyrusae schedule Updated 2/26/2026

name: identify-terminology description: Identify and classify technical terminology in academic papers. Use when determining which terms need glossing, assessing domain and jargon density, and tracking acronyms for consistent handling.

Identify Terminology

Term classification

Universal academic vocabulary — no glossing needed in any register:

  • hypothesis, methodology, corpus, analysis, paradigm, framework, empirical, theoretical

Field-standard vocabulary — gloss in none/selective registers, not in heavy:

  • Terms all practitioners in this field know without explanation
  • Examples: BERT, transformer (ML); p-value, ANOVA (stats); code-switching (linguistics)

Specialized sub-field vocabulary — gloss in all registers except assume-knowledge:

  • Terms requiring specific coursework or deep specialization
  • Examples: /æ/-tensing, F1/F2 formants (phonetics); epistemic violence, habitus (critical theory)

Novel/paper-specific terms — always gloss on first use:

  • Terms introduced or redefined by this paper
  • Examples: names of new models, new frameworks, new taxonomies

Acronym tracking

First use: expand in full with brief explanation. Format: ACRONYM (Full Name — what it means) Subsequent uses: acronym only.

Track which acronyms have been introduced. Don't re-expand.

Domain detection

From title/abstract keywords, identify primary domain:

  • ML/AI: neural, learning, model, transformer, attention, training, inference
  • NLP: language, text, translation, parsing, NLU, generation
  • Computer vision: image, visual, detection, segmentation, pixel
  • Linguistics: phonology, syntax, morphology, pragmatics, corpus, sociolinguistics
  • Statistics: regression, Bayesian, significance, variance, distribution
  • Critical theory: power, discourse, hegemony, subjectivity, ideology

Domain affects which terms count as "field-standard" vs. "specialized."

Jargon density assessment

Assess the paper's own register to calibrate synthesis:

  • Papers that write "utilize" and avoid contractions throughout → likely higher-jargon audience
  • Papers with accessible prose in introduction → broader audience intended
  • Nature/Science papers → interdisciplinary, accessible style appropriate
  • Workshop/conference papers → expert audience assumed
Install via CLI
npx skills add https://github.com/cyrusae/alcanzai --skill identify-terminology
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