Agent skill

Commres Research Design

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

A skill your agent uses when defending the research design of a Communication Research (CR) manuscript — experiments (lab/online), panel surveys, and content analysis with intercoder reliability.

MITAuto-check passedResearch & Science

Install Commres Research Design

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills commres-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/Communication-Research-Skills/skills/commres-research-design .claude/skills/commres-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
commres-research-design
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
743 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 Communication Research (CR) manuscript — experiments (lab/online), panel surveys, and content analysis with intercoder reliability.

  • Defending the research design of a Communication Research (CR) manuscript — experiments (lab/online)
  • SKILL.md covers When to trigger, Experiments (lab / online /…, Surveys / panels and Content analysis, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Content analysis with intercoder reliability

What it does

Commres Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of a Communication Research (CR) manuscript — experiments (lab/online), panel surveys, and content analysis with intercoder reliability. CR is quantitative and demanding about identification, measurement, and confound control. Strengthens the design; it does not write code.

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. 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 Communication Research (CR) manuscript — experiments (lab/online)
  • Content analysis with intercoder reliability

Example prompts

  • “/commres-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

Commres Research Design loads about 1.8k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 743 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~84
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 743 words, ~1,821 tokens.

Download SKILL.mdSave it as .claude/skills/commres-research-design/SKILL.md (or your agent's skills folder).
name
commres-research-design
description
Use when defending the research design of a Communication Research (CR) manuscript — experiments (lab/online), panel surveys, and content analysis with intercoder reliability. CR is quantitative and demanding about identification, measurement, and confound control. Strengthens the design; it does not write code.

Research Design (commres-research-design)

CR is a quantitative journal and demanding about each design. The design must credibly connect the hypotheses (commres-theory-building) to evidence and defeat the strongest rival explanation. This skill is mode-aware — pick the section that matches your study and defend it on social-science terms.

When to trigger

  • Specifying an experiment, panel survey, or content-analysis protocol
  • A reviewer questioned causal claims, sampling, coding reliability, validity, or a confound
  • Preparing a preregistration / pre-analysis plan (note it in the cover letter)
  • Justifying why your design adjudicates the rival account from commres-literature-positioning

Experiments (lab / online / survey-embedded)

  • Preregister design and primary analyses; report a-priori power / MDE; pre-specify subgroups.
  • Stimulus sampling: treat messages as a sample, not a fixture — multiple exemplars per condition; model message as a random factor so the feature effect is not one text's idiosyncrasy.
  • Manipulation and attention checks; treatment realism; report and model attrition.
  • Pre-specify the mediation/moderation test that operationalizes H2/H3; for causal mediation, prefer manipulating the mediator or a measurement-of-mediation design with stated assumptions.
  • Ethics/IRB and informed consent; debrief where deception is used.

Surveys / panels

  • Sampling frame, mode, and generalization claims; weighting where appropriate.
  • Validated multi-item measures; report reliability (alpha/omega) and, ideally, a CFA/measurement model; guard against common-method variance (procedural and statistical remedies).
  • For process claims, prefer panel (lagged) or experimental leverage — cross-sectional mediation cannot license a temporal/causal story; say so plainly if you are cross-sectional.

Content analysis

  • A documented codebook; trained coders; report intercoder reliability (Krippendorff's alpha or equivalent) on an adequate subsample, and the unit of analysis.
  • Justify text sampling (timeframe, sources); establish construct validity of categories, not just reliability — reliable coding of the wrong construct is still wrong.

Computational / text-as-data (when hypothesis-testing)

  • Validate automated measures against human-coded gold-standard samples; report agreement.
  • Document model/version, hyperparameters, seeds; report stability; do not treat outputs as ground truth.

The adjudication test (CR-specific)

For the single strongest rival explanation, write one sentence: "If the rival were true rather than my hypothesis, the data would look like ___; instead they look like ___." If you cannot, the design does not yet identify the contribution.

Reviewer-pushback patterns and the CR-specific fix

Reviewer objectionWhy it lands at CRDesign-stage fix
"Single-message confound"one stimulus cannot separate the message feature from the textsample multiple messages per condition; model message as a random factor
"Measurement validity unclear"a scale or coded category may not be the constructreport CFA / construct validity, not just reliability
"Common-method variance"same-survey predictor and outcome inflate the pathprocedural separation + a statistical CMV check
"Cross-sectional process claim"mediation on one wave cannot license a causal storymove to an experiment/panel, or hedge the claim
"Effect without mechanism"a main effect alone does not advance theorymeasure and pre-specify the mediator/moderator before collection
Show full SKILL.md (292 more words)Show less

Worked micro-example: framing survey-experiment design (illustrative)

A study claims gain- vs. loss-framed vaccine messages change intention via perceived response-efficacy, moderated by prior knowledge. A CR-defensible design: 2 (frame) × 3 (message exemplars per frame) factorial so the frame effect is estimated across six texts — defeating the single-message confound. Validated multi-item efficacy and intention scales (report alpha + a CFA), target N sized to the registered MDE, preregister the moderated-mediation model (frame → response-efficacy → intention, moderated by knowledge) with bootstrap CIs, plus an attention check. The adjudication sentence: if "any health message moves intention" were true, the gain/loss contrast would be null while overall intention rose; instead the contrast runs through efficacy and only for low-knowledge audiences — advancing framing theory rather than re-documenting persuasion.

Execution bridge (StatsPAI / Stata MCP)

Estimate and audit the design, don't only describe it. Full map: execution-with-mcp. Communication Research is experiment- and survey-heavy; emphasize randomization inference, mediation done right, and family-wise corrections.

  • detect_design → recommend → fit with as_handle=true → audit_result.
  • Observational causal claims: staggered DiD (callaway_santanna / sun_abraham + bacon_decomposition + honest_did_from_result); IV (effective_f_test + anderson_rubin_ci); RDD (rdrobust + mccrary_test).
  • Experiments: randomization-based inference, romano_wolf for many-outcome family-wise control, and mediate for mediation (not naive controlling-away).
  • Sensitivity: oster_delta / sensemakr for observational claims.

Report the effect size in interpretable units; route the full battery to the appendix/supplement. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.

Anti-patterns

  • Causal language on a cross-sectional survey that only supports association
  • Content analysis with no reported intercoder reliability or an unstated unit of analysis
  • A single-message stimulus carrying a claim about a message feature
  • Scales used with no reliability/validity evidence; ignoring common-method variance
  • A design that cannot distinguish your hypothesis from the leading alternative

Output format

【Mode】experiment / survey-panel / content-analysis / computational
【Estimand or claim】what is being identified/tested
【Key assumption(s)】and how each is defended (incl. reliability/validity, CMV)
【Rival ruled out】the adjudication sentence
【Mediation/moderation】design supports the causal ordering? [Y/N]
【Robustness/sensitivity】planned checks
【Next】commres-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 Communication-Research-Skills/skills/commres-research-design of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Commres Research Design 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.

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GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Nature Paper CardYuan1z0825/nature-skills47k2 repos~2.1kAutomated safety check: PassApache-2.0
Content Research Writerweapp-tailwindcss/weapp-tailwindcss1.9k25 repos~3.5kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT

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Questions about Commres Research Design

What does Commres Research Design do?

A skill your agent uses when defending the research design of a Communication Research (CR) manuscript — experiments (lab/online), panel surveys, and content analysis with intercoder reliability. Commres Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of a Communication Research (CR) manuscript — experiments (lab/online), panel surveys, and content analysis with intercoder reliability.

When should I use Commres Research Design?

Commres Research Design fits situations like: defending the research design of a Communication Research (CR) manuscript — experiments (lab/online); content analysis with intercoder reliability.

How do I install Commres Research Design in Claude Code?

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

How do I install Commres Research Design in Codex?

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

Can I use Commres 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 commres-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/commres-research-design, .gemini/skills/commres-research-design, .github/skills/commres-research-design and .opencode/skills/commres-research-design in your project.

What does Commres Research Design need to run?

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

Does Commres 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 Commres 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 Commres Research Design use?

Commres 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 Commres Research Design use?

About 1.8k tokens (SKILL.md is roughly 7.3k 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 Commres Research Design?

Skills that share tags, products or a category with Commres Research Design: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Commres 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.