A skill your agent uses when targeting Language (the Linguistic Society of America journal) or deciding whether a linguistics manuscript fits this discipline-wide flagship.

MITAuto-check passed

Install Language

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills language --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/language .claude/skills/language && 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
language
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
727 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Language (the Linguistic Society of America journal) or deciding whether a linguistics manuscript fits this discipline-wide flagship.

  • Targeting Language (the Linguistic Society of America journal)
  • 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 linguistics manuscript fits this discipline-wide flagship

What it does

Language is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Language (the Linguistic Society of America journal) or deciding whether a linguistics manuscript fits this discipline-wide flagship. Encodes the journal's fit across all subfields, the claim-plus-data bar, theoretical and cross-linguistic expectations, 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 Language (the Linguistic Society of America journal)
  • Deciding whether a linguistics manuscript fits this discipline-wide flagship

Example prompts

  • “/language”

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

Language loads about 1.7k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 727 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
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). 727 words, ~1,728 tokens.

Download SKILL.mdSave it as .claude/skills/language/SKILL.md (or your agent's skills folder).
name
language
description
Use when targeting Language (the Linguistic Society of America journal) or deciding whether a linguistics manuscript fits this discipline-wide flagship. Encodes the journal's fit across all subfields, the claim-plus-data bar, theoretical and cross-linguistic expectations, house style, glossing and double-blind norms, official-submission re-check, and desk-reject heuristics.

Language (language)

Journal positioning

Language is the flagship journal of the Linguistic Society of America and the discipline-wide generalist venue for all of linguistics — phonetics and phonology, morphology and syntax, semantics and pragmatics, sociolinguistics, historical and typological linguistics, language acquisition, and psycholinguistics. Its defining expectation is a clearly stated claim supported by rigorous language data and/or formal argument that speaks beyond a single sub-community: a result a linguist in another subfield will recognize as consequential. A solid descriptive note or a framework-internal exercise with no broader stake is a poor fit, however careful. 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 Language author instructions and style sheet, and defer all reporting specifics to the official page.

When to trigger

  • The author names Language for a linguistics article and wants a fit/framing check.
  • A subfield-specific result must be re-framed to show discipline-wide significance.
  • The author is choosing between Language and a framework- or subfield-specialist venue.
  • The author needs Language's evidence/argument bar and desk-reject heuristics.

Scope & topic fit

  • Original work in any core subfield: phonology, morphology, syntax, semantics, pragmatics, sociolinguistics, historical linguistics, typology, acquisition.
  • Experimental and corpus-based studies (psycholinguistics, phonetics, variationist sociolinguistics) where method and data are sound and the finding generalizes.
  • Theoretical contributions that are framework-aware but legible across approaches, not only to adherents of one formalism.
  • Documentation and description of under-studied languages when it yields a result of general theoretical or typological interest.
  • Work bridging subfields (e.g., phonology–morphology, syntax–semantics interfaces) that a single-subfield journal would under-serve.

Method & evidence bar

  • The contribution is a clearly stated claim backed by empirical language data, formal argument, or both; the stake is named early, not left implicit.
  • Linguistics is partly empirical: examples, judgments, corpus, or experimental data must be representative and adequate to the claim — defer exact reporting/statistical specifics to the official guidance.
  • Cross-linguistic or otherwise representative evidence supports generality; a single-language pattern is framed for its broader import.
  • The theoretical framework is made explicit and the analysis is internally consistent and falsifiable, with alternatives considered.
  • Engagement with the relevant literature is current and fair across (not only within) the chosen approach.
  • Data are transparent: numbered examples with morpheme-by-morpheme interlinear (Leipzig-style) glosses and free translations where the language is not English.

Structure & house style

  • Full-length research article with a sustained argument; re-check current length limits and article types (including short reports/discussion notes) on the live guide.
  • Citation follows the journal's current author-date style sheet with a reference list.
  • Double-blind review: anonymize the manuscript (self-citations and acknowledgements) per current policy.
  • Numbered linguistic examples with aligned interlinear glosses and source attribution; follow Leipzig glossing conventions and the journal's example formatting.
  • Phonetic transcription in IPA; figures, spectrograms, and tables meet the journal's specifications and are legible in print.
Show full SKILL.md (262 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 LSA anchors, then cite the current Language page you checked.
  • Search the live site for "Language LSA author guidelines" and follow the current version.
  • Re-check article types, length limits, abstract requirement, and the LSA style sheet.
  • Confirm anonymization for double-blind review and the example/glossing format.
  • Re-check data-availability/replication expectations and any elicitation/IRB ethics reporting for experimental or fieldwork data.
  • 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

  • There is a single clear claim whose significance reaches beyond one subfield.
  • Language data (examples, corpus, or experiment) are representative and adequate to the claim.
  • Cross-linguistic or otherwise general evidence supports the generality asserted.
  • Numbered examples carry Leipzig-style interlinear glosses and translations.
  • The manuscript is anonymized and follows the current LSA style sheet.
  • Engagement with the literature is fair and current across approaches, not only one.

Common desk-reject triggers

  • A descriptive note with no general theoretical or typological stake.
  • A framework-internal exercise legible only to adherents of one formalism.
  • Claims of generality resting on a single language or thin, non-representative data, or under-controlled experimental/corpus data unfit for the claim.
  • Examples without proper interlinear glosses, translations, or sources.
  • Scope too narrow for a discipline-wide audience (better at a subfield specialist).

Re-routing decision

  • Generative syntax and its interfaces, or a short squib → linguistic-inquiry.
  • Framework-neutral general theoretical linguistics → journal-of-linguistics.
  • Theoretical syntax/morphology with deep cross-linguistic data → natural-language-and-linguistic-theory.
  • Philosophy-of-language argument rather than a linguistic result → the-philosophical-review.
  • Broad cultural-theory framing of language → critical-inquiry (generically).

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Language (LSA)
[Subfield] <closest linguistic subfield>
[Claim] <the central claim in one line>
[Data/framework] <do the language data + theoretical framing clear Language's discipline-wide bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <length / style sheet / anonymization / glossing / data + 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/language of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Language next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Language this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
Touch Targetsthedaviddias/Front-End-Checklist74k—~938Automated safety check: PassMIT
Implementing Mimecast Targeted Attack Protectionmukul975/Anthropic-Cybersecurity-Skills34k—~1.8kAutomated safety check: PassApache-2.0
Target Journalbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1.1kAutomated safety check: PassCustom licence
Workflow Score To TargetMengTo/Skills6.7k—~1.3kAutomated safety check: PassMIT
Open Targets DBaipoch/medical-research-skills2k—~1.6kAutomated safety check: PassMIT

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Questions about Language

What does Language do?

A skill your agent uses when targeting Language (the Linguistic Society of America journal) or deciding whether a linguistics manuscript fits this discipline-wide flagship. Language is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Language (the Linguistic Society of America journal) or deciding whether a linguistics manuscript fits this discipline-wide flagship.

When should I use Language?

Language fits situations like: targeting Language (the Linguistic Society of America journal); deciding whether a linguistics manuscript fits this discipline-wide flagship.

How do I install Language in Claude Code?

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

How do I install Language in Codex?

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

Can I use Language 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 language -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/language, .gemini/skills/language, .github/skills/language and .opencode/skills/language in your project.

What does Language need to run?

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

Does Language 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 Language 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 Language use?

Language 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 Language use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Language?

Skills that share tags, products or a category with Language: Touch Targets (thedaviddias/Front-End-Checklist, 74k stars), Implementing Mimecast Targeted Attack Protection (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Target Journal (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Workflow Score To Target (MengTo/Skills, 6.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Language?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.