Agent skill · Data & Analytics

language

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.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill language --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: English-Humanities-Journal-Skills/skills/language/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Journal positioning
  2. When to trigger
  3. Scope & topic fit
  4. Method & evidence bar
  5. Structure & house style
  6. Official-submission checklist
  7. Pre-submission self-check
  8. Common desk-reject triggers
  9. Re-routing decision
  10. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the language skill do?

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.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill language --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going