Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
A skill your agent uses when the research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography, process/longitudinal, survey…
Install Jms Methods
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jms-methods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jms-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-Management-Studies-Skills/skills/jms-methods .claude/skills/jms-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 "jms-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Management-Studies-Skills/skills/jms-methods into .claude/skills/jms-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jms-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-Management-Studies-Skills/skills/jms-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 jms-methods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jms-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-Management-Studies-Skills/skills/jms-methods .agents/skills/jms-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 "jms-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Management-Studies-Skills/skills/jms-methods into .agents/skills/jms-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jms-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 jms-methods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jms-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-Management-Studies-Skills/skills/jms-methods .cursor/skills/jms-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 "jms-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Management-Studies-Skills/skills/jms-methods into .cursor/skills/jms-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jms-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-Management-Studies-Skills/skills/jms-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 jms-methods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jms-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-Management-Studies-Skills/skills/jms-methods .gemini/skills/jms-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 "jms-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Management-Studies-Skills/skills/jms-methods into .gemini/skills/jms-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jms-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 jms-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 jms-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-Management-Studies-Skills/skills/jms-methods .github/skills/jms-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 "jms-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Management-Studies-Skills/skills/jms-methods into .github/skills/jms-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jms-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 jms-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 jms-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-Management-Studies-Skills/skills/jms-methods .opencode/skills/jms-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 "jms-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Management-Studies-Skills/skills/jms-methods into .opencode/skills/jms-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jms-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
jms-methods- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 636 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography, process/longitudinal, survey…
- The research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography
- SKILL.md covers When to trigger, Match the design to the…, Designing qualitative rigor… and Designing against the threats…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Process/longitudinal
What it does
Jms Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography, process/longitudinal, survey, archival, experiment, multi-method) to the theoretical question, with qualitative rigor treated as first-class. Designs the study; it does not run the estimation or trustworthiness checks (jms-data-analysis).
Its SKILL.md is about 1.6k 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 Data & Analytics, covering 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
- The research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography
- Process/longitudinal
- Multi-method) to the theoretical question
- With qualitative rigor treated as first-class
Example prompts
- “/jms-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
Jms Methods loads about 1.6k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 636 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). 636 words, ~1,590 tokens.
Download SKILL.mdSave it as
.claude/skills/jms-methods/SKILL.md (or your agent's skills folder).- name
- jms-methods
- description
- Use when the research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography, process/longitudinal, survey, archival, experiment, multi-method) to the theoretical question, with qualitative rigor treated as first-class. Designs the study; it does not run the estimation or trustworthiness checks (jms-data-analysis).
Research Design & Methods (jms-methods)
When to trigger
- The design may not match the theory's level, timing, or causal claim
- A qualitative study's case selection, saturation, or analytic procedure is under-specified
- Quantitative data are single-source, single-wave, self-reported (common-method bias risk)
- The theory is causal but the design is cross-sectional/correlational
- A reviewer says "the design cannot test/show this" or "the method is not rigorous enough"
Match the design to the question — pluralism with rigor
JMS welcomes all rigorous designs and is, distinctively, a friendly home for qualitative and process work — but rigor must clear a top-tier bar regardless of method. Choose the design the question demands:
| Theoretical claim / question | Design that earns it |
|---|---|
| How/why a phenomenon emerges or works | Inductive multi-case (Eisenhardt) or ethnography |
| How something unfolds over time | Process / longitudinal (temporal bracketing, visual mapping) |
| Causal effect of a manipulable cause | Experiment (lab / field / online) or natural experiment |
| Whether & how much, with generalisation | Survey (multi-wave) or panel archival |
| Cross-level mechanism (firm → individual) | Multilevel / nested design (HLM-appropriate) |
| Contested, novel, or richly contextual | Multi-method (e.g., qual study 1 + quant study 2) |
Designing qualitative rigor (first-class at JMS)
- Case/site selection is theoretical, not convenient: state the sampling logic (extreme, polar, theoretically replicating). Justify the number of cases and why they let the theory travel.
- Data sources triangulated: interviews + archives + observation; report counts (informants, hours, documents) and the period.
- Analytic procedure stated: which approach (Gioia, Eisenhardt cross-case, grounded theory, narrative/temporal bracketing) and how codes became constructs.
- Trustworthiness in the qualitative idiom: member checking, an audit trail, negative-case analysis, inter-coder agreement where appropriate — not p-values.
Designing against the threats JMS reviewers cite (quantitative)
- Common-method bias: separate sources / temporal separation across waves; objective or archival outcomes where possible. Procedural design beats a post-hoc Harman test (the Podsakoff guidance is standard).
- Endogeneity (archival/survey): anticipate omitted variables, reverse causality, selection; plan an identification strategy (panel FE, DiD, IV/2SLS, natural experiment, matching) and state each one's assumptions.
- Measurement: validated multi-item scales; pilot new measures; plan a CFA; state the level each construct is measured at and justify any aggregation (ICC, r_wg).
- Power & sampling: justify the frame, response rate, and power — interactions need more power than main effects.
Level-of-analysis discipline
State the level for theory, measurement, and analysis, and keep them aligned. If theory is at the firm level but data are individual, justify aggregation; for cross-level effects, model the nesting — do not run OLS on nested data.
Show full SKILL.md (240 more words)Show less
Execution bridge (StatsPAI / Stata MCP)
For the empirical / causal lane, estimate and audit rather than only specify. Full
map: execution-with-mcp. JMS mixes qualitative and quantitative management research; the chain below is for the quantitative-empirical lane.
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
- Design can actually answer the question (causal claims have causal leverage)
- Qualitative: theoretical case selection, triangulated sources with counts, named analytic procedure, trustworthiness checks
- Quantitative: CMB addressed by design; endogeneity strategy specified; validated/piloted measures; CFA planned
- Level of analysis aligned across theory, measurement, analysis; aggregation justified
- Sampling frame, N, and power (incl. interactions) justified
- Where useful, a second study triangulates the mechanism
Anti-patterns
- Qualitative-by-default vagueness: "we did a case study" with no selection logic or analytic procedure
- Cross-sectional causal claims: "X causes Y" from one-wave correlational data
- CMB as afterthought: relying on a single Harman test instead of designed separation
- Ignored endogeneity: an obviously endogenous regressor with no identification strategy
- Mismatched levels: theorising at the firm level, testing disaggregated individual data via OLS
- Method theatre: a fashionable estimator or qualitative label not justified by the question
Output format
【Design】qual multi-case / ethnography / process / experiment / survey / panel-archival / multi-method
【Question-design fit】can the design answer each claim? notes …
【Qualitative rigor】(if qual) case selection · sources+counts · analytic procedure · trustworthiness
【CMB / endogeneity】(if quant) procedural remedy · identification strategy
【Measures】validated? new (piloted)? CFA planned?
【Levels】theory / measurement / analysis aligned? aggregation justified?
【Next step】jms-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-Management-Studies-Skills/skills/jms-methods of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jms 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 |
|---|---|---|---|---|---|---|
| Jms Methods this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data AnalysisOleafly/Oleafly | 206 | 3 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT |
Similar skills
Excel and CSV Data Analysis
bytedance/deer-flow
Analyzes uploaded Excel and CSV files with SQL through DuckDB, producing schema inspections, statistical summaries and exports to CSV, JSON or Markdown.
Exploratory Data Analysis
Oleafly/Oleafly
Perform bounded, local exploratory analysis of explicitly supported scientific files.
Python Executor
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
Agentic Kaggle Workflow
FrankS-IntelLab/agentic-kaggle-skill
Takes a Kaggle competition from rules and validation design through baselines, ensembling and notebook architecture to a scored submission.
Yichen Wecom Local Vault
mcncarl/yichen-skills
Read, decrypt, query, search, and export local WeCom/企业微信 5.x desktop databases on macOS into a private read-only vault.
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag Data Analysis
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
Aaag Literature Positioning
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
Aaag Rebuttal
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
Aaag Research Design
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
Aaag Review Process
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
Aaag Submission
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Related
Categories
Questions about Jms Methods
What does Jms Methods do?
A skill your agent uses when the research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography, process/longitudinal, survey…. Jms Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography, process/longitudinal, survey, archival, experiment, multi-method) to the theoretical question, with qualitative rigor treated as first-class.
When should I use Jms Methods?
Jms Methods fits situations like: the research design is the bottleneck for a Journal of Management Studies (JMS) manuscript — matching design (qualitative case/ethnography; process/longitudinal; multi-method) to the theoretical question; with qualitative rigor treated as first-class.
How do I install Jms Methods in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jms-methods -a claude-code`. Or copy the skill folder (Journal-of-Management-Studies-Skills/skills/jms-methods in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jms-methods in your project. Claude Code loads it when a task matches its description.
How do I install Jms Methods in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jms-methods -a codex`. Or copy the skill folder (Journal-of-Management-Studies-Skills/skills/jms-methods in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jms-methods in your project. Codex loads it when a task matches its description.
Can I use Jms 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 jms-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/jms-methods, .gemini/skills/jms-methods, .github/skills/jms-methods and .opencode/skills/jms-methods in your project.
What does Jms Methods need to run?
SKILL.md names no scripts, command-line tools or credentials: Jms Methods is instructions for the agent only.
Does Jms 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 Jms 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 Jms Methods use?
Jms 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 Jms Methods use?
About 1.6k tokens (SKILL.md is roughly 6.4k 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 Jms Methods?
Skills that share tags, products or a category with Jms Methods: Exploratory Data Analysis (spacering-net/codeg, 3.8k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars), Exploratory Data Analysis (Oleafly/Oleafly, 206 stars) and Python Executor (cortega26/chile-hub, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jms 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.