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Agent skill

Newms Research Design

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography, sampling and coding for…

MITAuto-check passed

Install Newms Research Design

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills newms-research-design --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/New-Media-and-Society-Skills/skills/newms-research-design .claude/skills/newms-research-design && 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
newms-research-design
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
587 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography, sampling and coding for…

  • Defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography
  • SKILL.md covers When to trigger, Qualitative — interviews /…, Content / discourse analysis and Computational, plus 9 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Sampling and coding for content/discourse analysis

What it does

Newms Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography, sampling and coding for content/discourse analysis, data construction and validation for computational work, and integration logic for mixed methods. NM&S judges each tradition on its own terms. Strengthens the design; it does not write code.

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

  • Defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography
  • Sampling and coding for content/discourse analysis
  • Data construction and validation for computational work
  • Integration logic for mixed methods

Example prompts

  • “/newms-research-design”

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

Newms Research Design loads about 1.5k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 587 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). 587 words, ~1,518 tokens.

Download SKILL.mdSave it as .claude/skills/newms-research-design/SKILL.md (or your agent's skills folder).
name
newms-research-design
description
Use when defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography, sampling and coding for content/discourse analysis, data construction and validation for computational work, and integration logic for mixed methods. NM&S judges each tradition on its own terms. Strengthens the design; it does not write code.

Research Design (newms-research-design)

NM&S welcomes many methods and is exacting about each. The design must credibly link the argument (newms-theory-building) to evidence and rule out the leading alternative reading. Pick the section matching your method; mixed-methods papers must satisfy both relevant sections and state how the strands talk to each other.

When to trigger

  • Specifying sampling, case/site selection, coding, or data construction
  • A reviewer questioned generalization, selection, coding reliability, or scraping validity
  • Justifying why your design adjudicates the rival reading from newms-literature-positioning

Qualitative — interviews / digital ethnography

  • Informant and site selection justified theoretically, not by access alone; state recruitment, positionality, and access conditions (e.g., joining a platform, gaining moderator trust).
  • Depth, saturation, and negative cases: how you know you have enough, and how disconfirming cases were sought and handled.
  • Online specificity: handle the blur of public/private space, pseudonymity, and the ethics of observing online communities (see newms-transparency-and-data).

Content / discourse analysis

  • Sampling frame for texts/posts/images: time window, platform, query logic, and what is excluded.
  • Coding scheme grounded in the argument; report intercoder reliability (e.g., Krippendorff's alpha / Cohen's kappa) for quantitative content analysis, or a clear analytic trail for interpretive discourse work.
  • State what counts as evidence for vs. against the reading — discourse analysis is not "quotes I liked."

Computational

  • Data construction: API vs. scraping, query terms, time window, deduplication, and the gap between the trace data and the social phenomenon (digital traces are not the behavior itself).
  • Validation: validate automated measures (classifiers, topic models, network metrics) against human-labeled samples; report agreement and stability; do not treat model output as ground truth.
  • Platform-bias awareness: APIs sample non-randomly; state what the data can and cannot represent.

Mixed methods

  • Say why both strands are needed and how they integrate (triangulation, sequential explanation, complementarity) — not two studies stapled together.

The adjudication test (NM&S-specific)

For the single strongest rival reading: "If the rival were true rather than my argument, the evidence would look like ___; instead it looks like ___." If you cannot write it, the design does not yet identify the contribution.

Show full SKILL.md (253 more words)Show less

What NM&S referees demand of each design

DesignReferee's first demandSatisfying move
Interviews / ethnography"Why these informants/this site?"theoretical sampling, positionality, negative cases
Content / discourse"Is the coding reliable / the reading defensible?"reliability stats or a transparent analytic trail
Computational"Is the measure valid; what does the data represent?"human-label validation, platform-bias statement
Mixed"Why both, and how integrated?"explicit integration logic

Worked micro-example (illustrative)

Method: digital ethnography of a courier community + interviews (qualitative, mixed within strand).
Site logic: a worker forum chosen because ranking disputes surface there; not just easy to access.
Negative cases sought: workers who ignore the score → would weaken "datafied control."
Adjudication sentence: "If workers merely gamed the system (resistance), we'd see post-sanction
  workarounds; instead we see anticipatory compliance before any sanction — as datafied control predicts."

Referee pushback → NM&S-specific fix

  • "Your informants look hand-picked." → Show the theoretical sampling rule and what each case represents.
  • "Scraped data, no validation." → Add human-labeled validation of the automated measure and a platform-bias statement; state what the API does and does not capture.
  • "Quotes cherry-picked." → Give a coding scheme, an excerpt-to-claim table, and the disconfirming cases.

Calibration anchors

  • Method-appropriate rigor, one bar. NM&S won't hold ethnography to a reliability-coefficient standard or computational work to "it felt saturated" — but every design must defeat its rival.
  • The adjudication sentence is the test. If you can't write "if the rival were true the evidence would look like ___," the design does not yet earn the contribution.
  • Trace data ≠ behavior. Naming the gap between API traces and social practice reads as strength.

Anti-patterns

  • Convenience informants/sites dressed up as theory-driven sampling
  • Content analysis with no reliability check or analytic trail
  • Computational measures reported as ground truth with no human-label validation
  • Ignoring the public/private and consent ambiguity of online observation
  • A design that cannot distinguish your reading from the leading rival

Output format

【Method】interviews-ethnography / content-discourse / computational / mixed
【Sampling / case / data logic】and how justified
【Validity move】reliability / saturation+negative cases / human-label validation
【Rival ruled out】the adjudication sentence
【Next】newms-data-analysis

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 New-Media-and-Society-Skills/skills/newms-research-design of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Newms Research Design

What does Newms Research Design do?

A skill your agent uses when defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography, sampling and coding for…. Newms Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography, sampling and coding for content/discourse analysis, data construction and validation for computational work, and integration logic for mixed methods.

When should I use Newms Research Design?

Newms Research Design fits situations like: defending the research design of a New Media & Society (NM&S) manuscript — informant/site logic for interviews and digital ethnography; sampling and coding for content/discourse analysis; data construction and validation for computational work; integration logic for mixed methods.

How do I install Newms Research Design in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill newms-research-design -a claude-code`. Or copy the skill folder (New-Media-and-Society-Skills/skills/newms-research-design in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/newms-research-design in your project. Claude Code loads it when a task matches its description.

How do I install Newms Research Design in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill newms-research-design -a codex`. Or copy the skill folder (New-Media-and-Society-Skills/skills/newms-research-design in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/newms-research-design in your project. Codex loads it when a task matches its description.

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

What does Newms Research Design need to run?

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

Does Newms Research Design 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 Newms Research Design 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 Newms Research Design use?

Newms Research Design 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 Newms Research Design use?

About 1.5k tokens (SKILL.md is roughly 6.1k 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 Newms Research Design?

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Who maintains Newms Research Design?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.