GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
A skill your agent uses when starting or navigating any manuscript aimed at Language (Linguistic Society of America) and unsure which skill applies — it reads your stage and piece type (General…
Install Lang Workflow
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-workflow --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-workflow .claude/skills/lang-workflow && rm -rf skills-srcUse ~/.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/
Install the "lang-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-workflow into .claude/skills/lang-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-workflow", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-workflowType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-workflow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-workflow .agents/skills/lang-workflow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lang-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-workflow into .agents/skills/lang-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-workflow", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-workflow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-workflow .cursor/skills/lang-workflow && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lang-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-workflow into .cursor/skills/lang-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-workflow", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Language-Linguistic-Society-Skills/skills/lang-workflow--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-workflow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-workflow .gemini/skills/lang-workflow && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "lang-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-workflow into .gemini/skills/lang-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-workflow", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-workflowInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-workflow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-workflow .github/skills/lang-workflow && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "lang-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-workflow into .github/skills/lang-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-workflow", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-workflow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills lang-workflow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Language-Linguistic-Society-Skills/skills/lang-workflow .opencode/skills/lang-workflow && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lang-workflow" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Language-Linguistic-Society-Skills/skills/lang-workflow into .opencode/skills/lang-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lang-workflow", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
lang-workflow- GitHub stars
- 1.2k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 654 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when starting or navigating any manuscript aimed at Language (Linguistic Society of America) and unsure which skill applies — it reads your stage and piece type (General…
- Research Report
- SKILL.md covers When to trigger, First question: which piece…, Routing map (stage → skill) and Default order, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Discussion Note
What it does
Lang Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when starting or navigating any manuscript aimed at Language (Linguistic Society of America) and unsure which skill applies — it reads your stage and piece type (General Research Article, Research Report, Review Article, Discussion Note, or an online-only section: Perspectives, Phonological Analysis, Language and Public Policy, Teaching Linguistics) and routes you to the matching sub-skill. It dispatches; it does not draft analysis.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Deep research. 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
- Research Report
- Discussion Note
- An online-only section: Perspectives
- Phonological Analysis
Example prompts
- “/lang-workflow”
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 Workflow loads about 1.8k tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 654 words of instructions outside code blocks.
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). 654 words, ~1,778 tokens.
Download SKILL.mdSave it as
.claude/skills/lang-workflow/SKILL.md (or your agent's skills folder).- name
- lang-workflow
- description
- Use when starting or navigating any manuscript aimed at Language (Linguistic Society of America) and unsure which skill applies — it reads your stage and piece type (General Research Article, Research Report, Review Article, Discussion Note, or an online-only section: Perspectives, Phonological Analysis, Language and Public Policy, Teaching Linguistics) and routes you to the matching sub-skill. It dispatches; it does not draft analysis.
Language Workflow Router (lang-workflow)
The orchestrator for a submission to Language, the flagship journal of the Linguistic Society of America (LSA), published continuously since 1925 and, from January 2026, by Cambridge University Press (fully open access from Volume 102). Language takes work from every subfield — phonology, phonetics, syntax, semantics, morphology, historical and typological linguistics, sociolinguistics, psycholinguistics, and computational linguistics — and judges each by the standards of its own tradition while demanding one thing across the board: a theoretically grounded claim carried by rigorous linguistic evidence, legible to a general linguistics readership, not to one framework's insiders.
When to trigger
- Starting a new Language manuscript and unsure where to begin
- Mid-project and unsure which skill applies next
- Deciding whether the work is a full General Research Article or a shorter Research Report
- Considering an online-only section (Perspectives / Phonological Analysis / Language and Public Policy / Teaching Linguistics)
- Returning with a decision letter (route to
lang-rebuttal)
First question: which piece type?
| Situation | Piece type | Route to |
|---|---|---|
| In-depth study advancing linguistic theory for a general audience | General Research Article (≤18,000 words incl. notes/tables/appendices, excl. references) | full pipeline below |
| Smaller, sharply targeted empirical or analytic contribution | Research Report | lang-topic-selection → compressed pipeline |
| State-of-the-art synthesis of a research area (≤5,000 words) | Review Article | lang-literature-positioning → lang-writing-style |
| Comment on a published Language piece / a focused analytic point | Discussion Note | lang-literature-positioning + lang-rebuttal |
| Field-shaping thesis inviting responses | Perspectives (target article + Commentaries + Rejoinder) | lang-theory-building + lang-rebuttal |
| Pedagogy analysis / policy application | Teaching Linguistics / Language and Public Policy (online-only) | lang-topic-selection |
A General Research Article over 12,000 words is held to a more stringent standard — length must be earned. Confirm current section rules in
lang-submission.
Routing map (stage → skill)
Idea / fit for Language? → lang-topic-selection
What is the theoretical claim? → lang-theory-building
In dialogue with which literature? → lang-literature-positioning
Is the design/data defensible? → lang-research-design
Are the analyses sound? → lang-data-analysis
Data + annotation transparent? → lang-data-and-transparency
Are examples/exhibits clean? → lang-tables-figures
Does it read across frameworks? → lang-writing-style
Ready for ScholarOne? → lang-submission
How will it be judged? → lang-review-process
Got an R&R / writing a Rejoinder? → lang-rebuttalDefault order
topic-selection → theory-building → literature-positioning → research-design → data-analysis → data-and-transparency → tables-figures → writing-style → submission → review-process → rebuttal
Iterate: Language papers typically loop theory ↔ data ↔ analysis several times — the account that explains the pattern usually sharpens after the data are in hand, not before.
Calibration anchors (what a Language trajectory feels like)
Orienting heuristics, not editorial guarantees; confirm volatile specifics on the current author pages.
- Evidence-first, framework-fluent. The router never rewards a formalism for its own sake. A clean
analysis in one theory that ignores rival accounts is routed back to
lang-theory-building; a pile of glossed data with no claim is routed tolang-topic-selection. - Cross-subfield legibility. Reviewers may sit outside your subfield. The router prioritizes making the stakes and the data readable to a syntactician and a sociolinguist, not only to specialists.
Show full SKILL.md (255 more words)Show less
Stage-to-symptom dispatch (route on the complaint, not the calendar)
| The author says… | Route to |
|---|---|
| "Reviewer 2 says it's just description." | lang-theory-building |
| "It feels too narrow for the flagship." | lang-topic-selection |
| "They said I ignored the competing framework." | lang-literature-positioning |
| "The data can't bear the generalization." | lang-research-design |
| "Reviewer doubts my statistics." | lang-data-analysis |
| "Glosses and examples are a mess." | lang-tables-figures |
| "Desk-returned before review." | lang-review-process then lang-submission |
Worked micro-example (illustrative)
A study of an understudied Bantu tone alternation opens the router unsure where to begin. The glossed
data are rich but the contribution reads as "language X does this," so the router sends it to
lang-topic-selection, then lang-theory-building to state what the alternation is a case of (an
illustrative claim about the phonology–morphology interface), then lang-research-design to defend the
elicitation and consultant sampling, looping theory↔data twice. At an illustrative 14,000 words it is a
full General Research Article — but every section must earn its place under the more-stringent bar past
12,000 words.
Anti-patterns
- Treating Language like a subfield venue — the claim must read across linguistics, not one framework
- Submitting a descriptive data dump with no theoretical stakes (a classic desk return)
- Single-framework parochialism — analyzing only inside one formalism and ignoring rivals
- Assuming a generic style — Language uses the Language Style Sheet and Leipzig glossing
- Quantitative claims with no proper modeling or shared data (route to
lang-data-analysis) - Routing as if acceptance were quick; a substantive R&R is the normal first-round outcome
Output format
【Stage】idea / theory / positioning / design / analysis / transparency / exhibits / writing / submit / review / rebut
【Type】General Research Article / Research Report / Review Article / Discussion Note / Perspectives / Teaching Linguistics / Language & Public Policy
【Route to】lang-<skill>
【Why】one line
【Then】the next skill after thatSupplementary resources
../../resources/external_tools.md— linguistics data + software by subfield../../resources/official-source-map.md— official LSA/CUP URLs behind every fact in this pack
© 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-workflow of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Lang Workflow 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lang Workflow this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research WorkflowTokenRhythm/opensquilla | 7.1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| X Researchrohunvora/x-research-skill | 1.2k | 1 repos | ~1.6k | Automated safety check: Pass | None | |
| Deep Researchsanjay3290/ai-skills | 431 | 10 repos | ~683 | Automated safety check: Notes | Apache-2.0 | |
| ResearchWeizhena/Deep-Research-skills | 2.3k | 3 repos | ~1.1k | Automated safety check: Pass | MIT |
Similar skills
Deep Research Workflow
TokenRhythm/opensquilla
Runs multi-round research in three stages with a persisted state file, evidence tracking and a long-form report with per-claim citations.
X Research
rohunvora/x-research-skill
General-purpose X/Twitter research agent. An agent skill from rohunvora/x-research-skill.
Deep Research
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
Research
Weizhena/Deep-Research-skills
Conduct preliminary research on a topic and generate research outline.
Horizontal-Vertical Deep Research
KKKKhazix/khazix-skills
Runs a two-axis deep research method on a product, company, concept or person: its full history over time, compared with peers today, delivered as a typeset PDF report.
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Categories
Questions about Lang Workflow
What does Lang Workflow do?
A skill your agent uses when starting or navigating any manuscript aimed at Language (Linguistic Society of America) and unsure which skill applies — it reads your stage and piece type (General…. Lang Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when starting or navigating any manuscript aimed at Language (Linguistic Society of America) and unsure which skill applies — it reads your stage and piece type (General Research Article, Research Report, Review Article, Discussion Note, or an online-only section: Perspectives, Phonological Analysis, Language and Public Policy, Teaching Linguistics) and routes you to the matching sub-skill.
When should I use Lang Workflow?
Lang Workflow fits situations like: research Report; discussion Note; an online-only section: Perspectives; phonological Analysis.
How do I install Lang Workflow in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-workflow -a claude-code`. Or copy the skill folder (Language-Linguistic-Society-Skills/skills/lang-workflow in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/lang-workflow in your project. Claude Code loads it when a task matches its description.
How do I install Lang Workflow in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-workflow -a codex`. Or copy the skill folder (Language-Linguistic-Society-Skills/skills/lang-workflow in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/lang-workflow in your project. Codex loads it when a task matches its description.
Can I use Lang Workflow 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-workflow -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-workflow, .gemini/skills/lang-workflow, .github/skills/lang-workflow and .opencode/skills/lang-workflow in your project.
What does Lang Workflow need to run?
SKILL.md names no scripts, command-line tools or credentials: Lang Workflow is instructions for the agent only.
Does Lang Workflow 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 Workflow 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 Workflow use?
Lang Workflow 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 Workflow use?
About 1.8k tokens (SKILL.md is roughly 7.1k 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 Workflow?
Skills that share tags, products or a category with Lang Workflow: GitHub Deep Research (bytedance/deer-flow, 83k stars), Deep Research Workflow (TokenRhythm/opensquilla, 7.1k stars), X Research (rohunvora/x-research-skill, 1.2k stars) and Deep Research (sanjay3290/ai-skills, 431 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lang Workflow?
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.