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 matching the research design to the claim for a Journal of the Academy of Marketing Science (JAMS) manuscript — construct validity and measurement, survey/SEM design…
Install Jams Methods
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-methods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jams-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-the-Academy-of-Marketing-Science-Skills/skills/jams-methods .claude/skills/jams-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 "jams-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-methods into .claude/skills/jams-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jams-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-the-Academy-of-Marketing-Science-Skills/skills/jams-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 jams-methods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jams-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-the-Academy-of-Marketing-Science-Skills/skills/jams-methods .agents/skills/jams-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 "jams-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-methods into .agents/skills/jams-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jams-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 jams-methods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jams-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-the-Academy-of-Marketing-Science-Skills/skills/jams-methods .cursor/skills/jams-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 "jams-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-methods into .cursor/skills/jams-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jams-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-the-Academy-of-Marketing-Science-Skills/skills/jams-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 jams-methods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jams-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-the-Academy-of-Marketing-Science-Skills/skills/jams-methods .gemini/skills/jams-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 "jams-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-methods into .gemini/skills/jams-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jams-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 jams-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 jams-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-the-Academy-of-Marketing-Science-Skills/skills/jams-methods .github/skills/jams-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 "jams-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-methods into .github/skills/jams-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jams-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 jams-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 jams-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-the-Academy-of-Marketing-Science-Skills/skills/jams-methods .opencode/skills/jams-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 "jams-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-methods into .opencode/skills/jams-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jams-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
jams-methods- GitHub stars
- 1.2k
- Token cost
- ~2.3k tokens
- SKILL.md length
- 1,006 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when matching the research design to the claim for a Journal of the Academy of Marketing Science (JAMS) manuscript — construct validity and measurement, survey/SEM design…
- Survey/SEM design
- SKILL.md covers When to trigger, Match design to claim by genre, Construct validity is JAMS's… and Tie the design back to the…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Secondary-data identification
What it does
Jams Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when matching the research design to the claim for a Journal of the Academy of Marketing Science (JAMS) manuscript — construct validity and measurement, survey/SEM design, secondary-data identification, experiments, or meta-analysis. Designs the study and stress-tests validity; jams-data-analysis executes and reports the estimates.
Its SKILL.md is about 2.3k 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 Load testing, Data analysis and Econometrics and empirical 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
- Survey/SEM design
- Secondary-data identification
Example prompts
- “/jams-methods”
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
Jams Methods loads about 2.3k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 1,006 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). 1,006 words, ~2,269 tokens.
Download SKILL.mdSave it as
.claude/skills/jams-methods/SKILL.md (or your agent's skills folder).- name
- jams-methods
- description
- Use when matching the research design to the claim for a Journal of the Academy of Marketing Science (JAMS) manuscript — construct validity and measurement, survey/SEM design, secondary-data identification, experiments, or meta-analysis. Designs the study and stress-tests validity; jams-data-analysis executes and reports the estimates.
Research Design, Measurement & Identification (jams-methods)
When to trigger
- The design may not actually support the theoretical claim
- Constructs are measured but scale validity (reliability, convergent, discriminant) is unestablished
- A causal claim rests on a cross-sectional survey or OLS-with-controls
- Reviewers will probe common method variance, endogeneity, manipulation validity, or coding reliability
Match design to claim by genre
JAMS publishes several empirical genres; the validity question is genre-specific. Pick the genre, then clear its bar.
Survey + SEM/PLS (strategy, B2B, services, branding)
- Construct validity is the gate. Report reliability (composite reliability / Cronbach's α), convergent validity (AVE ≥ .50, loadings), and discriminant validity (Fornell–Larcker and/or the HTMT ratio — JAMS reviewers increasingly expect HTMT).
- Common method variance (CMV): design against it (temporal/source separation, marker variable) and test for it (Harman is weak — prefer a marker-variable or CFA-marker approach). CMV is a top reason survey papers stall at JAMS.
- Measurement before structure: establish the measurement model (CFA) before interpreting the structural model; report fit (χ²/df, CFI, TLI, RMSEA, SRMR).
- Formative vs. reflective: justify the specification; do not run a reflective CFA on a formative construct.
- Endogeneity in survey models: a clean SEM does not buy causality — address it (instruments, Gaussian-copula control, panel design) where the claim is causal.
Secondary-data econometrics (scanner, CRM, marketing–finance)
- Identification is the gate. Name the strategy the variation supports — DiD (modern staggered estimators), IV/2SLS, RDD, matching, control function — and defend the exclusion / parallel-trends / continuity assumption explicitly.
- Address endogeneity of marketing actions (price, advertising, entry are chosen, not random); a lagged regressor is not identification.
- Cluster inference at the assignment level; report first-stage strength / pre-trends as relevant.
Behavioral experiment
- Manipulation validity: clean operationalization, manipulation and attention checks, pretested stimuli.
- Mechanism, not just effect: measured-or-manipulated mediation and process-by-moderation; power sized for the interaction, not the main effect.
- Multi-study logic: lab establishes the mechanism; a field study or a consequential outcome adds external validity (a JAMS strength).
Meta-analysis
- Pre-specified sampling frame and search protocol; transparent inclusion/exclusion.
- Inter-coder reliability reported; effect-size metric and artifact corrections justified.
- Moderator analysis that tests the theory, plus publication-bias diagnostics.
Construct validity is JAMS's most-policed area
Because so many JAMS papers are survey-based, the measurement model is where reviewers concentrate fire. Make the chain airtight: each construct has a conceptual definition first, then a measure whose items match that definition (content validity), then evidence of reliability (CR/α), convergent validity (AVE ≥ .50, significant loadings), and discriminant validity. For discriminant validity, report HTMT (threshold typically .85/.90) in addition to Fornell–Larcker — reviewers increasingly treat Fornell–Larcker alone as insufficient. If you adapt an existing scale, justify the changes and re-validate; if you create a new scale, follow a recognized scale-development procedure (item generation, purification, validation on a fresh sample). A reflective construct measured with formative items (or vice versa) is a fatal mismatch.
Tie the design back to the claim and the manager
A method is "JAMS-ready" only when it supports both the theoretical claim and the managerial reading. After choosing the design, write one line: the variation / manipulation that identifies the focal effect, and one line: the managerial quantity the estimates will produce. If the design cannot deliver a managerially interpretable magnitude (e.g., a standardized path with no translatable unit), plan now to add a study, an elasticity, or a scenario analysis — discovering this after data collection is expensive. Hand the executed plan to jams-data-analysis, which carries the same managerial-magnitude discipline into reporting.
Show full SKILL.md (448 more words)Show less
Sample, power, and data provenance
- Sample frame and response. For surveys, justify the sampling frame, report the response rate, and test for non-response bias (e.g., early-vs-late respondents) and informant quality (key-informant competence for B2B/firm-level constructs).
- Power. Size the study for the effect that carries the contribution — usually an interaction or an indirect effect, which needs more power than a main effect. State the a priori power analysis.
- Provenance. Name the data source (panel/scanner such as NielsenIQ/Circana, CRM, a field partner, a Prolific/Qualtrics panel) and document sample construction, screening, and any exclusions — JAMS reviewers and the data-availability policy both expect a clear data trail.
- Multi-source / multi-wave designs strengthen both causal credibility and the CMV defense; flag where a single-source cross-section limits the causal claim and adjust the language accordingly.
Pre-registration and replicability
For experiments and field studies, pre-registration (AsPredicted / OSF) strengthens the inference and pre-empts a HARKing or p-hacking critique; report any deviations from the plan. Across all genres, design the data and analysis pipeline now so it can satisfy the Springer data/code availability policy at acceptance — keep raw data, cleaning scripts, and estimation code organized and documented from the start rather than reconstructing them under deadline. A clean, shareable pipeline is also the cheapest insurance against a reviewer who asks to see a specific robustness check.
Execution bridge (StatsPAI / Stata MCP)
For the empirical / causal lane, estimate and audit rather than only specify. Full
map: execution-with-mcp. JAMS is empirical marketing with much survey-based SEM; the chain below serves causal / quasi-experimental designs and many-outcome corrections.
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
- Genre named; design matched to the causal/behavioral/structural claim
- Survey: reliability + AVE + discriminant validity (Fornell–Larcker / HTMT) reported
- Survey: CMV designed against and tested (not Harman alone)
- Measurement model validated before the structural model; fit indices reported
- Secondary data: identification strategy named and its key assumption defended
- Experiment: manipulation/attention checks; mediation + moderation; power for interaction
- Meta: coding reliability + moderators + publication-bias checks
- Causal language never exceeds what the design identifies
Anti-patterns
- Treating a good-fitting SEM as evidence of causality
- Discriminant validity by Fornell–Larcker only when HTMT would fail
- Harman's single-factor test offered as the whole CMV defense
- Endogenous marketing regressors with a lagged variable passed off as a fix
- A single-cell or confounded manipulation that cannot isolate the cause
- A meta-analysis with no inter-coder reliability or publication-bias check
Output format
【Genre】survey-SEM / secondary-data / experiment / meta-analysis
【Claim】causal / structural / descriptive
【Construct validity】reliability + AVE + discriminant (FL/HTMT): pass/fix
【CMV (survey)】design + test (marker/CFA-marker): pass/fix/NA
【Identification (secondary)】strategy + key assumption: [...] / NA
【Experiment】manipulation + mediation + moderation + power: pass/fix/NA
【Meta】frame + coding reliability + bias checks: pass/fix/NA
【Next skill】jams-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-the-Academy-of-Marketing-Science-Skills/skills/jams-methods of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jams 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 |
|---|---|---|---|---|---|---|
| Jams Methods this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Joe Data Analysisfranklee16/academic-research-skills | 223 | 1 repos | ~933 | Automated safety check: Pass | None | |
| Ectheory Data Analysisfranklee16/academic-research-skills | 223 | 1 repos | ~905 | Automated safety check: Pass | None | |
| Mgsci Methodsfranklee16/academic-research-skills | 223 | 1 repos | ~1.1k | Automated safety check: Pass | None | |
| Mksc Methodsfranklee16/academic-research-skills | 223 | 1 repos | ~1.1k | Automated safety check: Pass | None | |
| Mksc Theory Developmentfranklee16/academic-research-skills | 223 | 1 repos | ~932 | Automated safety check: Pass | None |
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Questions about Jams Methods
What does Jams Methods do?
A skill your agent uses when matching the research design to the claim for a Journal of the Academy of Marketing Science (JAMS) manuscript — construct validity and measurement, survey/SEM design…. Jams Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when matching the research design to the claim for a Journal of the Academy of Marketing Science (JAMS) manuscript — construct validity and measurement, survey/SEM design, secondary-data identification, experiments, or meta-analysis.
When should I use Jams Methods?
Jams Methods fits situations like: survey/SEM design; secondary-data identification.
How do I install Jams Methods in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-methods -a claude-code`. Or copy the skill folder (Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-methods in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jams-methods in your project. Claude Code loads it when a task matches its description.
How do I install Jams Methods in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jams-methods -a codex`. Or copy the skill folder (Journal-of-the-Academy-of-Marketing-Science-Skills/skills/jams-methods in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jams-methods in your project. Codex loads it when a task matches its description.
Can I use Jams 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 jams-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/jams-methods, .gemini/skills/jams-methods, .github/skills/jams-methods and .opencode/skills/jams-methods in your project.
What does Jams Methods need to run?
SKILL.md names no scripts, command-line tools or credentials: Jams Methods is instructions for the agent only.
Does Jams 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 Jams 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 Jams Methods use?
Jams 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 Jams Methods use?
About 2.3k tokens (SKILL.md is roughly 9.1k 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 Jams Methods?
Skills that share tags, products or a category with Jams Methods: Joe Data Analysis (franklee16/academic-research-skills, 223 stars), Ectheory Data Analysis (franklee16/academic-research-skills, 223 stars), Mgsci Methods (franklee16/academic-research-skills, 223 stars) and Mksc Methods (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jams 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.