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Newms workflow

Skill brycewang-stanford/Awesome-Journal-Skills/New-Media-and-Society-Skills/skills/newms-workflow

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 Claude Code/Codex 期刊技能包,从选题、识别策略到表格规范与审稿回复全流程,助你快速发论文。

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill newms-workflow

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What its author says it does

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Use as the entry point for any New Media & Society (NM&S) manuscript. Routes to the right NM&S sub-skill based on the lifecycle stage and the method (qualitative interviews/ethnography, critical-theoretical, content/discourse analysis, computational, or mixed). It dispatches; it does not draft content.

SKILL.md

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NM&S Workflow Router (newms-workflow)

The orchestrator for a New Media & Society submission. NM&S is the broad interdisciplinary journal on digital media, the internet, and society, and it is methodologically pluralist — so the router's first job is to confirm the work has stakes for new media and society broadly and to send the user to the skill matching their stage and their method.

When to trigger

  • Starting a new NM&S paper and unsure where to begin
  • Mid-project and unsure which skill applies next
  • Worried the work reads as a platform case study with no portable argument
  • Returning with a decision letter (route to newms-rebuttal)

First question: contribution & method

NM&S asks two things up front. First, does this say something about new media and society, not just about one app or one dataset? Second, what method carries the claim — because design and analysis advice differ sharply:

Method familyTypical evidenceRouting weight
Qualitative — interviews, digital ethnographyinterview corpus, fieldnotes, online observationtheory ↔ evidence loops heavily
Critical / theoreticalconcepts, close reading, normative argumenttheory-building is the spine
Content / discourse analysiscoded texts, posts, images, platform artefactscoding scheme + intercoder reliability
Computationalscraped/API traces, networks, NLP/ML measuresvalidation against human labels + data ethics
Mixed-methodstwo strands integrateddesign must say how strands talk

Routing map (stage → skill)

Idea / fit for NM&S?             → newms-topic-selection
Where does it sit in the field?  → newms-literature-positioning
What's the conceptual argument?  → newms-theory-building
Is the design defensible?        → newms-research-design
Is the analysis/inference sound? → newms-data-analysis
Are the exhibits clear?          → newms-tables-figures
Does it read for the field?      → newms-writing-style
Data ethics + transparency?      → newms-transparency-and-data
How will it be judged?           → newms-review-process
Ready to submit?                 → newms-submission
Got an R&R / decision?           → newms-rebuttal

Default order

topic-selection → literature-positioning → theory-building → research-design → data-analysis → tables-figures → writing-style → transparency-and-data → review-process → submission → rebuttal

Iterate: interview, ethnographic, and critical papers loop theory ↔ evidence many times before the argument settles; do not force them through a single linear pass.

Symptom-to-skill dispatch

NM&S referees judge interdisciplinary significance and method-appropriate rigor together. Most symptoms map cleanly to one sub-skill — use this lookup before defaulting to the linear order.

Symptom you arrive withLikely rootRoute to
"A reader says it's just a platform case study"fit / framingnewms-topic-selection
"Reviewer says I ignored relevant fields"cross-field positioningnewms-literature-positioning
"It's called atheoretical / merely descriptive"no portable conceptnewms-theory-building
"Reviewer doubts the sampling / case / coding logic"designnewms-research-design
"They want reliability / robustness / validation"analysisnewms-data-analysis
"An exhibit or quote table is unclear"exhibitsnewms-tables-figures
"It reads as technical-only or jargon-heavy"prose for the fieldnewms-writing-style
"How was this scraped — was that ethical?"data ethicsnewms-transparency-and-data
"What will reviewers want?"expectationsnewms-review-process
"Submitting tomorrow"preflightnewms-submission
"Got an R&R"response letternewms-rebuttal

Worked micro-example (illustrative routing)

User: "I interviewed 30 gig couriers about the app that ranks them, but a colleague says it 'won't fly
  at NM&S — too niche.'"
Router read: the worry is portability, not data → start at newms-theory-building (name the mechanism:
  algorithmic management as datafied control), then newms-literature-positioning (platform-labor +
  surveillance debates), then newms-research-design (informant logic, saturation, positionality).
Method: qualitative interviews → loop theory ↔ evidence.
Then: newms-tables-figures (a quote-to-claim table) → newms-writing-style → newms-transparency-and-data
  (consent + platform-data ethics for the app screenshots).

The router resists the linear default and sends the interview study to theory and positioning first.

Referee-stage pushback → which skill answers it

  • "Not significant for new media and society broadly." → newms-topic-selection then newms-writing-style.
  • "Method isn't rigorous for its kind." → newms-research-design in the matching tradition.
  • "Scraping looks ethically dubious." → newms-transparency-and-data before re-submission.

Calibration anchors

  • Interdisciplinary significance is the gate, not a garnish. The work must reach beyond one platform and one field; route to topic-selection whenever fit is in doubt.
  • Method sets the path. Qualitative/critical papers loop theory ↔ evidence repeatedly; computational papers stand or fall on validation + data ethics.
  • Confirm volatile specifics (~8,000-word target, abstract length, current editors) on the live page.

Anti-patterns

  • Treating NM&S like a single-platform trade outlet — the claim must travel beyond one app or site
  • Forcing a regression template onto interview, ethnographic, or interpretive work
  • A computational paper with strong metrics but no validation and no data-ethics account
  • Forgetting the ~8,000-word target (incl. notes, references, tables) and anonymous-review masking

Output format

【Stage】idea / positioning / theory / design / analysis / exhibits / writing / ethics / review / submit / rebut
【Method】qualitative / critical-theoretical / content-discourse / computational / mixed
【Route to】newms-<skill>
【Why】one line
【Then】the next skill after that

Supplementary resources

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 327,132. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.