Agent skill

Natural Language And Linguistic Theory

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when targeting Natural Language & Linguistic Theory (Springer) or deciding whether a theoretical-syntax/morphology manuscript fits this venue.

MITAuto-check passed

Install Natural Language And Linguistic Theory

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill natural-language-and-linguistic-theory -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills natural-language-and-linguistic-theory --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/English-Humanities-Journal-Skills/skills/natural-language-and-linguistic-theory .claude/skills/natural-language-and-linguistic-theory && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
natural-language-and-linguistic-theory
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
718 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Natural Language & Linguistic Theory (Springer) or deciding whether a theoretical-syntax/morphology manuscript fits this venue.

  • Targeting Natural Language & Linguistic Theory (Springer)
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Deciding whether a theoretical-syntax/morphology manuscript fits this venue

What it does

Natural Language And Linguistic Theory is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Natural Language & Linguistic Theory (Springer) or deciding whether a theoretical-syntax/morphology manuscript fits this venue. Encodes the journal's fit in formal analysis grounded in rich cross-linguistic data, the empirical-grounding bar, house style, glossing and double-blind norms, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Targeting Natural Language & Linguistic Theory (Springer)
  • Deciding whether a theoretical-syntax/morphology manuscript fits this venue

Example prompts

  • “/natural-language-and-linguistic-theory”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Natural Language And Linguistic Theory loads about 1.7k tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 718 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~101
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 718 words, ~1,742 tokens.

Download SKILL.mdSave it as .claude/skills/natural-language-and-linguistic-theory/SKILL.md (or your agent's skills folder).
name
natural-language-and-linguistic-theory
description
Use when targeting Natural Language & Linguistic Theory (Springer) or deciding whether a theoretical-syntax/morphology manuscript fits this venue. Encodes the journal's fit in formal analysis grounded in rich cross-linguistic data, the empirical-grounding bar, house style, glossing and double-blind norms, official-submission re-check, and desk-reject heuristics.

Natural Language & Linguistic Theory (natural-language-and-linguistic-theory)

Journal positioning

Natural Language & Linguistic Theory (NLLT), published by Springer, is a leading venue for theoretical linguistics — especially syntax and morphology — distinguished by its insistence that formal analyses be tested against rich, often cross-linguistic empirical data. Its defining expectation is a theoretical proposal that is both formally explicit and deeply grounded in careful language description: the analysis must earn its keep on detailed data, frequently from less-studied languages, and yield consequences for grammatical theory. A formalism-driven paper that is thin on data, or a description with no theoretical proposal, is a poor fit. This skill is a fit / venue-selection / re-framing aid. It does not replace the journal's current submission guidelines. Before submitting, re-check the live NLLT author instructions, and defer all reporting specifics to the official page.

When to trigger

  • The author names NLLT for a theoretical syntax or morphology article grounded in detailed language data.
  • A formal proposal must be strengthened with richer, more representative cross-linguistic empirical support.
  • The author is choosing between NLLT and a more formalism-focused or generalist venue.
  • The author needs NLLT's empirical-grounding bar and desk-reject heuristics.

Scope & topic fit

  • Theoretical syntax: clause structure, movement, case and agreement, argument structure, ellipsis, locality — argued on detailed data.
  • Theoretical morphology and the morphology–syntax interface, including word-formation and inflectional systems.
  • In-depth analyses of individual languages (often less-studied) that yield general theoretical consequences.
  • Comparative and microcomparative studies where dialect or language variation tests a theoretical proposal.
  • Interface work (syntax–semantics, morphology–phonology) where the empirical base is central to the argument.

Method & evidence bar

  • The contribution is a formally explicit proposal grounded in rich language data; the analysis and its theoretical consequences are stated clearly and early.
  • Empirical grounding is the differentiator: data must be detailed, representative, and carefully sourced — judgments, paradigms, and patterns from primary or well-documented description, with reporting specifics deferred to the official guidance.
  • Cross-linguistic or microcomparative evidence is used to test, not merely decorate, the proposal; the data genuinely discriminate among analyses.
  • The formal analysis is consistent, derivations or feature systems are shown, and predictions are falsifiable and checked.
  • Alternative analyses are weighed and shown to be less adequate against the data.
  • Data are transparent: numbered examples with morpheme-by-morpheme interlinear (Leipzig-style) glosses, translations, and sources; fieldwork data are attributed.

Structure & house style

  • Full-length theoretical article with detailed data sections and a sustained formal argument; re-check current length limits and article types on the live guide.
  • Citation follows the journal's current Springer author-date style with a reference list; formal notation is defined and consistent.
  • Double-blind review: anonymize the manuscript (self-citations and acknowledgements) per current policy.
  • Numbered examples with aligned interlinear glosses, translations, and sources, in the journal's format; IPA where phonetic detail matters.
  • Trees, feature matrices, and tables meet the journal's specifications and remain legible in print.
Show full SKILL.md (255 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the Springer anchors, then cite the current NLLT page you checked.
  • Search the live site for "Natural Language Linguistic Theory submission guidelines" and follow the current Springer version.
  • Re-check article types, length limits, and the abstract requirement.
  • Confirm the Springer citation/notation style and anonymization for double-blind review.
  • Re-check the example/glossing format, data sourcing/attribution, and any fieldwork elicitation-ethics expectations.
  • Re-check competing-interest, funding, and AI-use disclosures.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • The formal proposal is grounded in detailed, representative language data, not asserted on sparse examples.
  • Cross-linguistic or microcomparative data genuinely test the proposal.
  • Theoretical consequences for syntax/morphology are stated explicitly.
  • Derivations or feature systems are shown and predictions are falsifiable.
  • Numbered examples carry Leipzig-style glosses, translations, and proper sources.
  • The manuscript is anonymized and follows the current Springer style.

Common desk-reject triggers

  • A formalism-driven analysis thin on data or resting on sparse, non-representative examples.
  • A rich description with no theoretical proposal or consequence.
  • Data that do not actually discriminate the proposal from leading alternatives, or ignoring strong competing analyses and established cross-linguistic results.
  • Fieldwork or primary data without attribution, glossing, or translation.
  • Scope or generality overstated relative to the empirical base provided.

Re-routing decision

  • Generative syntax/interface argument that is theory-internal and data-light → linguistic-inquiry.
  • Discipline-wide result across subfields, incl. experimental → language (LSA).
  • Framework-neutral general theoretical linguistics → journal-of-linguistics.
  • Formal semantics or philosophy-of-language argument of philosophical interest → the-philosophical-review.
  • Discipline-wide descriptive/typological result with broad significance → language.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Natural Language & Linguistic Theory
[Area] <syntax / morphology / interface>
[Claim] <the formal proposal in one line>
[Data/framework] <does the cross-linguistic empirical grounding clear NLLT's data bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <length / Springer style / anonymization / glossing / data sourcing + ethics>
[Re-route suggestion] <if not a fit, a better-matched venue>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in English-Humanities-Journal-Skills/skills/natural-language-and-linguistic-theory of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Natural Writinga2ui-project/a2ui17k1 repos~2.1kAutomated safety check: PassApache-2.0

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Questions about Natural Language And Linguistic Theory

What does Natural Language And Linguistic Theory do?

A skill your agent uses when targeting Natural Language & Linguistic Theory (Springer) or deciding whether a theoretical-syntax/morphology manuscript fits this venue. Natural Language And Linguistic Theory is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Natural Language & Linguistic Theory (Springer) or deciding whether a theoretical-syntax/morphology manuscript fits this venue.

When should I use Natural Language And Linguistic Theory?

Natural Language And Linguistic Theory fits situations like: targeting Natural Language & Linguistic Theory (Springer); deciding whether a theoretical-syntax/morphology manuscript fits this venue.

How do I install Natural Language And Linguistic Theory in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill natural-language-and-linguistic-theory -a claude-code`. Or copy the skill folder (English-Humanities-Journal-Skills/skills/natural-language-and-linguistic-theory in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/natural-language-and-linguistic-theory in your project. Claude Code loads it when a task matches its description.

How do I install Natural Language And Linguistic Theory in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill natural-language-and-linguistic-theory -a codex`. Or copy the skill folder (English-Humanities-Journal-Skills/skills/natural-language-and-linguistic-theory in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/natural-language-and-linguistic-theory in your project. Codex loads it when a task matches its description.

Can I use Natural Language And Linguistic Theory in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill natural-language-and-linguistic-theory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/natural-language-and-linguistic-theory, .gemini/skills/natural-language-and-linguistic-theory, .github/skills/natural-language-and-linguistic-theory and .opencode/skills/natural-language-and-linguistic-theory in your project.

What does Natural Language And Linguistic Theory need to run?

SKILL.md names no scripts, command-line tools or credentials: Natural Language And Linguistic Theory is instructions for the agent only.

Does Natural Language And Linguistic Theory access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Natural Language And Linguistic Theory safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Natural Language And Linguistic Theory use?

Natural Language And Linguistic Theory is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Natural Language And Linguistic Theory use?

About 1.7k tokens (SKILL.md is roughly 7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Natural Language And Linguistic Theory?

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Who maintains Natural Language And Linguistic Theory?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.