Joe Data Analysis
franklee16/academic-research-skills
A skill your agent uses when designing the Monte Carlo study and empirical illustration that demonstrate a Journal of Econometrics (JoE) method works in finite samples.
A skill your agent uses when designing or stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations, controls and confounds, manipulation checks, power…
Install Jcp Methods
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-methods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-methods --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/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods .claude/skills/jcp-methods && 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 "jcp-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods into .claude/skills/jcp-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-methods", 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/Journal-of-Consumer-Psychology-Skills/skills/jcp-methodsType 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 jcp-methods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-methods --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/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods .agents/skills/jcp-methods && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jcp-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods into .agents/skills/jcp-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-methods", 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 jcp-methods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-methods --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/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods .cursor/skills/jcp-methods && 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 "jcp-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods into .cursor/skills/jcp-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-methods", 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 Journal-of-Consumer-Psychology-Skills/skills/jcp-methods--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 jcp-methods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jcp-methods --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/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods .gemini/skills/jcp-methods && 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 "jcp-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods into .gemini/skills/jcp-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-methods", 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 jcp-methodsInstalls 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 jcp-methods -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/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods .github/skills/jcp-methods && 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 "jcp-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods into .github/skills/jcp-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-methods", 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 jcp-methods -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 jcp-methods --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/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods .opencode/skills/jcp-methods && 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 "jcp-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Consumer-Psychology-Skills/skills/jcp-methods into .opencode/skills/jcp-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jcp-methods", 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
jcp-methods- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 752 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when designing or stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations, controls and confounds, manipulation checks, power…
- Works in 4 steps: Existence — establish the effect cleanly… → Mediation — show the process carries the… → Moderation — a theory-predicted… → …
- Stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations
- SKILL.md covers When to trigger, JCP's design bar: causal…, The multi-study chain and Manipulations, controls, and…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Jcp Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations, controls and confounds, manipulation checks, power, the multi-study chain, and pre-registration. Designs the studies that test the process; it does not analyze them (jcp-data-analysis).
Its SKILL.md is about 1.7k 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 Marketing psychology, Load testing and Data analysis. 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
- Stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations
- Controls and confounds
- Manipulation checks
- The multi-study chain
Example prompts
- “/jcp-methods”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Existence — establish the effect cleanly with a strong manipulation and a behavioral or consequential DV where possible.
- Mediation — show the process carries the effect. A measured mediator is the floor; manipulating the mediator (or moderation-of-process) is…
- Moderation — a theory-predicted moderator that switches the process on/off; this is the most convincing process evidence.
- Boundary / robustness — generalize across stimuli, populations, and operationalizations so the effect is not stimulus-bound.
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
Jcp Methods loads about 1.7k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 752 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). 752 words, ~1,739 tokens.
Download SKILL.mdSave it as
.claude/skills/jcp-methods/SKILL.md (or your agent's skills folder).- name
- jcp-methods
- description
- Use when designing or stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations, controls and confounds, manipulation checks, power, the multi-study chain, and pre-registration. Designs the studies that test the process; it does not analyze them (jcp-data-analysis).
Experimental Design & Methods (jcp-methods)
When to trigger
- You have a mechanism but are unsure which experiments can actually isolate it
- A reviewer questions whether your manipulation moves the construct it claims to
- Mediation rests on a single measured mediator and you need stronger process evidence
- Sample sizes were chosen by convention, not by an a priori power analysis
- You are deciding whether to pre-register, or whether to take the Registered Report route (待核实)
JCP's design bar: causal isolation of a psychological process
JCP is an experimental journal: random assignment, manipulated independent variables, and measured (or manipulated) mediators are the default. The design must do more than show an effect — it must rule out that the effect is anything other than the proposed process. Since the rigor reforms of the 2010s, JCP reviewers expect adequately powered cells, clean manipulations with checks, pre-registered confirmatory studies where feasible, and a multi-study package whose studies each test a different link in the causal chain rather than re-running the same demonstration.
The multi-study chain
A persuasive JCP package walks the mechanism:
- Existence — establish the effect cleanly with a strong manipulation and a behavioral or consequential DV where possible.
- Mediation — show the process carries the effect. A measured mediator is the floor; manipulating the mediator (or moderation-of-process) is far stronger and increasingly expected.
- Moderation — a theory-predicted moderator that switches the process on/off; this is the most convincing process evidence.
- Boundary / robustness — generalize across stimuli, populations, and operationalizations so the effect is not stimulus-bound.
Vary the operationalization across studies (different manipulations of the same construct, different DVs, different samples) so a reviewer cannot attribute the result to one idiosyncratic stimulus.
Manipulations, controls, and confounds
- Manipulation checks: include a check that the IV moved the intended construct and nothing else. A manipulation that also shifts mood, difficulty, or attention is confounded.
- Pretest stimuli: pretest scenarios/images/copy so conditions differ only on the focal dimension.
- Confound audit: ask of every manipulation, "what else changed?" — fluency, plausibility, arousal, social desirability, demand. Design controls (yoked conditions, neutral comparisons) before collecting data.
- Demand and attention: attention/comprehension checks, funnel debrief for hypothesis guessing, and a design that does not telegraph the prediction.
- Process-of-mediation: prefer causal-chain (experimental-mediation) or moderation-of-process designs over Baron-Kenny on a measured mediator, which reviewers now treat as weak causal evidence.
Power and samples
- Run an a priori power analysis (effect-size assumption justified by pilot or prior literature, not back-solved) and report target N before data collection.
- Pre-specify exclusion rules (attention checks, completion, duplicates) in advance; report Ns before and after exclusions.
- For online panels (Prolific/MTurk/CloudResearch), document the platform, screening, and data-quality safeguards.
Show full SKILL.md (317 more words)Show less
Pre-registration and transparency as design choices
- Pre-register confirmatory studies (OSF/AsPredicted): hypotheses, design, sample size, analysis plan, exclusions. JCP encourages preregistration with an analysis plan (检索于 2026-06；以官网为准); report deviations transparently.
- Plan the open data + materials deposit and the code from the start (see jcp-submission), not at acceptance.
- Consider a Registered Report for a strong confirmatory theory test where the result should publish regardless of direction (待核实 whether JCP currently offers this format).
Execution bridge (StatsPAI / Stata MCP)
For the empirical / causal lane, estimate and audit rather than only specify. Full
map: execution-with-mcp. JCP is experimental consumer psychology; randomization inference, mediation done right (mediate, not naive controlling-away), and family-wise corrections matter most.
detect_design→recommend→ fit withas_handle=true→audit_resultto enumerate the checks the design owes.- Panel / staggered DiD:
callaway_santanna/sun_abraham+bacon_decompositionhonest_did_from_result. IV:effective_f_test+anderson_rubin_ci. RDD:rdrobust+mccrary_test.
- Experiments: randomization-based inference and
romano_wolffor the many-outcome family-wise correction reviewers expect.
Match the toolchain to the reviewer pool, and report the effect size the venue wants. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.
Checklist
- Each study tests a distinct link: existence → mediation → moderation → boundary
- At least one strong process design (manipulated mediator or moderation-of-process), not only measured mediation
- Manipulation checks confirm the IV moved the construct and not a confound
- Stimuli pretested; conditions differ only on the focal dimension
- A priori power analysis; target N and exclusion rules pre-specified
- Confirmatory studies pre-registered; deviations to be reported
- Materials, data, and code deposit planned now
Anti-patterns
- One study, big claim: a single experiment asked to carry a process contribution
- Measured-mediation-only: Baron-Kenny on a self-report mediator presented as causal process
- Confounded manipulation: the IV also shifts mood/difficulty/arousal and there is no check
- Convenience N: 50/cell because "that's what we usually run," with no power plan
- Stimulus-bound effect: one scenario, one product, generalized to "consumers"
- Post-hoc exclusions: dropping participants until p < .05 (a rigor-era red flag)
Output format
【Study chain】existence → mediation → moderation → boundary (map studies)
【Process design】measured mediator / manipulated mediator / moderation-of-process
【Manipulation + check】IV, the construct it moves, the check, the confounds controlled
【Power & samples】a priori N per cell, exclusion rules, platform
【Pre-registration】which studies, registry, what is locked
【Transparency plan】data + materials + code deposit
【Next skill】jcp-data-analysis© 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 Journal-of-Consumer-Psychology-Skills/skills/jcp-methods of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jcp Methods 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 |
|---|---|---|---|---|---|---|
| Jcp Methods this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Joe Data Analysisfranklee16/academic-research-skills | 223 | 1 repos | ~933 | Automated safety check: Pass | None | |
| Neuropixels Data Analysisdavila7/claude-code-templates | 32k | 10 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Scanpy Single-Cell Analysisdavila7/claude-code-templates | 32k | 16 repos | ~2.8k | Automated safety check: Pass | MIT | |
| NeuroKit2 Biosignal Processingdavila7/claude-code-templates | 32k | 12 repos | ~3k | Automated safety check: Pass | MIT | |
| Modeling Competition Computation StageWuXinbo-bo/Math-model-skills | 111 | — | ~4.5k | Automated safety check: Pass | MIT |
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Walks through single-cell RNA-seq analysis with Scanpy: loading .h5ad and 10X data, QC, normalization, PCA and UMAP, Leiden clustering, marker genes and cell type annotation.
NeuroKit2 Biosignal Processing
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Processes physiological signals with NeuroKit2 in Python: ECG, PPG, EEG, EDA, respiration, EMG and EOG, including HRV, events and complexity measures.
Modeling Competition Computation Stage
WuXinbo-bo/Math-model-skills
Pipeline stage that turns a mathematical modeling report into runnable programs per sub-question, frozen numerical results and reviewable evidence files.
Single-Cell Initial Analysis
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Related
Questions about Jcp Methods
What does Jcp Methods do?
A skill your agent uses when designing or stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations, controls and confounds, manipulation checks, power…. Jcp Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when designing or stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations, controls and confounds, manipulation checks, power, the multi-study chain, and pre-registration.
When should I use Jcp Methods?
Jcp Methods fits situations like: stress-testing the experiments for a Journal of Consumer Psychology (JCP) manuscript — manipulations; controls and confounds; manipulation checks; the multi-study chain.
How do I install Jcp Methods in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-methods -a claude-code`. Or copy the skill folder (Journal-of-Consumer-Psychology-Skills/skills/jcp-methods in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jcp-methods in your project. Claude Code loads it when a task matches its description.
How do I install Jcp Methods in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-methods -a codex`. Or copy the skill folder (Journal-of-Consumer-Psychology-Skills/skills/jcp-methods in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jcp-methods in your project. Codex loads it when a task matches its description.
Can I use Jcp Methods 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 jcp-methods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jcp-methods, .gemini/skills/jcp-methods, .github/skills/jcp-methods and .opencode/skills/jcp-methods in your project.
What does Jcp Methods need to run?
SKILL.md names no scripts, command-line tools or credentials: Jcp Methods is instructions for the agent only.
Does Jcp Methods 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 Jcp Methods 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 Jcp Methods use?
Jcp Methods 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 Jcp Methods use?
About 1.7k tokens (SKILL.md is roughly 7k 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 Jcp Methods?
Skills that share tags, products or a category with Jcp Methods: Joe Data Analysis (franklee16/academic-research-skills, 223 stars), Neuropixels Data Analysis (davila7/claude-code-templates, 32k stars), Scanpy Single-Cell Analysis (davila7/claude-code-templates, 32k stars) and NeuroKit2 Biosignal Processing (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jcp Methods?
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.