A skill your agent uses when deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it.

MITAuto-check passed

Install Lang Topic Selection

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-topic-selection --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/Language-Linguistic-Society-Skills/skills/lang-topic-selection .claude/skills/lang-topic-selection && 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
lang-topic-selection
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
677 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it.

  • Works in 4 steps: Theoretical stakes. It changes how… → Rigorous, transparent evidence. Glossed… → Cross-subfield significance. A… → …
  • Deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it
  • SKILL.md covers When to trigger, The Language fit test, Language vs. a subfield venue… and Framing by subfield (write…, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lang Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it. Language is a generalist flagship spanning every subfield; the test is a theoretically grounded contribution legible to the whole discipline, not a description of one language or a result inside one framework. Helps frame the question; it does not collect or gloss data.

Its SKILL.md is about 1.5k 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

  • Deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it

Example prompts

  • “/lang-topic-selection”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Theoretical stakes. It changes how linguists analyze something — an interface, a typological
  2. Rigorous, transparent evidence. Glossed primary data, a corpus, an experiment, or historical
  3. Cross-subfield significance. A phonologist and a syntactician can both see why it matters —
  4. Framework-fluent, not parochial. The claim engages rival analyses; it does not assume one

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

Lang Topic Selection loads about 1.5k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 677 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 677 words, ~1,542 tokens.

Download SKILL.mdSave it as .claude/skills/lang-topic-selection/SKILL.md (or your agent's skills folder).
name
lang-topic-selection
description
Use when deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it. Language is a generalist flagship spanning every subfield; the test is a theoretically grounded contribution legible to the whole discipline, not a description of one language or a result inside one framework. Helps frame the question; it does not collect or gloss data.

Topic Selection & Fit (lang-topic-selection)

Language is the LSA's generalist flagship, covering phonology, syntax, semantics, morphology, historical and typological work, sociolinguistics, psycholinguistics, and computational linguistics. The bar is not "new data from language X" — it is "a theoretically grounded claim, carried by rigorous evidence, that a linguist outside my subfield should care about." A description with no analytic payoff, or a demonstration that runs only inside one formalism, is off-fit and often desk-returned. Use this skill to pressure-test fit before you invest.

When to trigger

  • Choosing among projects or framings for a Language submission
  • A colleague said the paper is "descriptive," "narrow," or "only for [framework] people"
  • Deciding between a General Research Article and a shorter Research Report
  • Weighing Language against a subfield venue (e.g., Phonology, NLLT, Journal of Semantics, Language Variation and Change)

The Language fit test

A strong Language paper usually clears all four:

  1. Theoretical stakes. It changes how linguists analyze something — an interface, a typological generalization, a processing mechanism — not just what one language happens to do.
  2. Rigorous, transparent evidence. Glossed primary data, a corpus, an experiment, or historical sources documented well enough that a reader could check the pattern (see lang-data-and-transparency).
  3. Cross-subfield significance. A phonologist and a syntactician can both see why it matters — because it bears on a shared question about grammar, meaning, variation, or change.
  4. Framework-fluent, not parochial. The claim engages rival analyses; it does not assume one formalism and ignore the alternatives (see lang-theory-building).

Language vs. a subfield venue (frame to the right journal)

Language (LSA)Subfield venue
Audiencethe whole disciplinespecialists in one area
Premium ongeneral theoretical import + broad legibilitydepth within the subfield's assumptions
Framework stanceengage across frameworksoften assumes the house framework
If your paper isa claim that reshapes a general questiona fine-grained result for insiders

Sending framework-internal work to Language invites a "why not [subfield journal]?" reviewer note. Send it here when the payoff travels beyond the framework and the subfield.

Framing by subfield (write past your home area)

Home subfieldReach the discipline by…
Phonology / phoneticsstate the general claim about representations or the phonetics–phonology interface, not just the alternation
Syntax / morphologyshow what the pattern reveals about architecture (e.g., locality, the lexicon–syntax boundary), not one derivation
Semantics / pragmaticstie the analysis to a general question about meaning composition or inference
Sociolinguistics / variationconnect the variable to a mechanism of change or a general model of variation
Historical / typologicalextract the portable generalization, not a single-language chronology
Psycho- / computationallink the model or experiment to a claim about grammar or processing the field can carry
Show full SKILL.md (242 more words)Show less

Fit-screen decision table (what to do with each verdict)

Signal from the four-part testAction
All four clear; claim travelsproceed to lang-theory-building
Rigorous data but thin stakesclimb from description to analysis before submitting
Framework-internal resultbroaden the engagement, or send to the subfield venue
Pure description of one languagereframe around a general claim, or it is off-fit

Calibration (Language appetite, hedged)

Orienting contrasts, not rankings; confirm scope on the current author pages. Language is unusual in asking a phonetician's paper to be readable by a semanticist: breadth of readership is the constraint that shapes framing. It rewards new empirical territory raised to a general claim — a well-documented pattern from an under-described language is welcome when it is a case of something. Illustrative: fieldwork on an evidential system framed as "language Y has four evidentials" reads as descriptive; reframed as "the evidential–tense interaction adjudicates between two theories of how evidentiality composes," it speaks to semantics broadly and flips the verdict to strong fit.

Anti-patterns

  • A description of one language with no theoretical claim (a classic desk return)
  • A result that holds only inside one framework, with rivals ignored
  • "First study of X in language Y" as the whole contribution
  • Defaulting to Language for prestige when a subfield venue fits the contribution better
  • A quantitative pattern with no model and no shared data behind it

Output format

【Question】one sentence
【Theoretical claim】the general point a linguist outside my subfield can use
【Evidence base】glossed data / corpus / experiment / historical sources
【Cross-subfield significance】who beyond my area cares, and why
【Framework stance】which rivals it engages
【Type】General Research Article / Research Report / other section
【Fit verdict】strong / needs reframing / off-fit / better at a subfield venue
【Next】lang-theory-building

Supplementary resources

© 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 Language-Linguistic-Society-Skills/skills/lang-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Lang Topic Selection 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.

Lang Topic Selection compared with similar skills
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Lang Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.5kAutomated safety check: PassMIT
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Table Fitasgeirtj/system_prompts_leaks69k—~772Automated safety check: PassCC0-1.0
Furniture Fit Checkpascalorg/editor25k—~5.1kAutomated safety check: PassMIT
TopicsZimoLiao/scholaraio576—~294Automated safety check: PassMIT
Lambda Langsickn33/agentic-awesome-skills47k1 repos~1.2kAutomated safety check: PassMIT

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Questions about Lang Topic Selection

What does Lang Topic Selection do?

A skill your agent uses when deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it. Lang Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it.

When should I use Lang Topic Selection?

Lang Topic Selection fits situations like: deciding whether a linguistics project fits Language (Linguistic Society of America) and how to frame it.

How do I install Lang Topic Selection in Claude Code?

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

How do I install Lang Topic Selection in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-topic-selection -a codex`. Or copy the skill folder (Language-Linguistic-Society-Skills/skills/lang-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/lang-topic-selection in your project. Codex loads it when a task matches its description.

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

What does Lang Topic Selection need to run?

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

Does Lang Topic Selection 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 Lang Topic Selection 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 Lang Topic Selection use?

Lang Topic Selection 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 Lang Topic Selection use?

About 1.5k tokens (SKILL.md is roughly 6.2k 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 Lang Topic Selection?

Skills that share tags, products or a category with Lang Topic Selection: Lang Attribute (thedaviddias/Front-End-Checklist, 74k stars), Table Fit (asgeirtj/system_prompts_leaks, 69k stars), Furniture Fit Check (pascalorg/editor, 25k stars) and Topics (ZimoLiao/scholaraio, 576 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lang Topic Selection?

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.