Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Agent skill
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when sharpening the theoretical contribution of a Journal of the Association for Information Systems (JAIS) manuscript — stating what the paper adds to IS knowledge, matching…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jais-contribution-framing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jais-contribution-framing --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-Association-for-Information-Systems-Skills/skills/jais-contribution-framing .claude/skills/jais-contribution-framing && 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 "jais-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Association-for-Information-Systems-Skills/skills/jais-contribution-framing into .claude/skills/jais-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jais-contribution-framing", 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-Association-for-Information-Systems-Skills/skills/jais-contribution-framingType 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 jais-contribution-framing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jais-contribution-framing --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-Association-for-Information-Systems-Skills/skills/jais-contribution-framing .agents/skills/jais-contribution-framing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jais-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Association-for-Information-Systems-Skills/skills/jais-contribution-framing into .agents/skills/jais-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jais-contribution-framing", 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 jais-contribution-framing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jais-contribution-framing --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-Association-for-Information-Systems-Skills/skills/jais-contribution-framing .cursor/skills/jais-contribution-framing && 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 "jais-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Association-for-Information-Systems-Skills/skills/jais-contribution-framing into .cursor/skills/jais-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jais-contribution-framing", 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-Association-for-Information-Systems-Skills/skills/jais-contribution-framing--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 jais-contribution-framing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jais-contribution-framing --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-Association-for-Information-Systems-Skills/skills/jais-contribution-framing .gemini/skills/jais-contribution-framing && 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 "jais-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Association-for-Information-Systems-Skills/skills/jais-contribution-framing into .gemini/skills/jais-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jais-contribution-framing", 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 jais-contribution-framingInstalls 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 jais-contribution-framing -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-Association-for-Information-Systems-Skills/skills/jais-contribution-framing .github/skills/jais-contribution-framing && 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 "jais-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Association-for-Information-Systems-Skills/skills/jais-contribution-framing into .github/skills/jais-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jais-contribution-framing", 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 jais-contribution-framing -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 jais-contribution-framing --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-Association-for-Information-Systems-Skills/skills/jais-contribution-framing .opencode/skills/jais-contribution-framing && 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 "jais-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-the-Association-for-Information-Systems-Skills/skills/jais-contribution-framing into .opencode/skills/jais-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jais-contribution-framing", 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.
jais-contribution-framingA skill your agent uses when sharpening the theoretical contribution of a Journal of the Association for Information Systems (JAIS) manuscript — stating what the paper adds to IS knowledge, matching…
Jais Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening the theoretical contribution of a Journal of the Association for Information Systems (JAIS) manuscript — stating what the paper adds to IS knowledge, matching the contribution claim to the chosen category, and making it legible to a pluralistic, theory-forward reviewer pool. Frames and tests the contribution; it does not build the theory (jais-theory-development) or run the analysis (jais-data-analysis).
Its SKILL.md is about 2.2k 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.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Jais Contribution Framing loads about 2.2k tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 1,133 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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 1,133 words, ~2,169 tokens.
.claude/skills/jais-contribution-framing/SKILL.md (or your agent's skills folder).JAIS exists to publish "innovative, interesting and rigorously developed conceptual and empirical contributions" and to "encourage theory based multi- or inter-disciplinary research." Two things follow. First, theory and method are contributions in their own right here — more than at most siblings, a paper whose payoff is a new theory, framework, or methodological advance is welcome on its own terms. Second, "interesting" is doing real work in that sentence: JAIS rewards a contribution that is generative and a little surprising, not a confirmatory increment to a settled question. State the contribution as what the field now knows or can do that it could not before.
The category you chose sets the kind of contribution reviewers expect. A mismatch reads as confused framing.
| Category | The contribution claim should be… |
|---|---|
| Theory | a new construct, a novel framework, or a generative integration — the theory is the payoff |
| Research Article | a theory-grounded empirical/design result; not primarily "we built a new construct" (that belongs in Theory) |
| Literature Review | new research directions, or theory developed/elaborated through synthesis |
| Research Perspectives | a reframing that changes how the field sees an assumption or practice |
| Foundational Research | the first disciplined account of a novel digital phenomenon, with new or pre-theoretical insight |
| Policy and Impact | a credible translation from IS research to policy |
The about-page phrase "innovative, interesting and rigorously developed" is doing evaluative work. JAIS rewards contributions that challenge an assumption the field holds, surface a counterintuitive mechanism, or reframe a settled debate — not contributions that merely confirm an expected effect with cleaner data. When you frame the contribution, test it against this bar: which prior belief does this unsettle? A paper that answers "none, but our estimate is more precise" is rigorous but not interesting, and at JAIS that is a reason for rejection, not a minor revision. Pair the surprise with the rigor; one without the other does not clear the bar.
Write: "Before this paper, IS scholars [believed / could not / lacked X]; this paper shows [Y], which changes [Z]." Then check that every section earns its place against that sentence. The abstract and introduction should let a reviewer from a different tradition grasp the contribution without your sub-field's shorthand — pluralism means your reader may not share your priors.
A useful stress test: hand the one-sentence contribution to a colleague in another IS tradition and ask them to restate what is new. If they can only restate what you did (the method, the data), the contribution is still framed as activity; if they can restate what the field now knows, it is framed as a contribution. JAIS's pluralistic reviewer pool effectively runs this test for you — better to pass it before submission than to learn the answer in the decision letter.
Reviewers respond better when you say what kind of theoretical move you are making, because it tells them which yardstick to apply. The common JAIS-relevant types: introducing a new construct; building a new framework or model relating constructs; offering a novel integration that reconciles two theories; identifying a boundary condition that bounds an accepted claim; surfacing a new mechanism behind a known relationship; or, in the Foundational category, a pre-theoretical insight about a phenomenon too new to model. State the type in the introduction so the contribution is not left for the reviewer to reverse-engineer.
JAIS reviewers will not accept a strong finding as a substitute for a theoretical contribution. State the theoretical advance first, then the empirical evidence that supports it, then (briefly) implications for practice. A paper with rich data but no theoretical payoff is a desk-reject; a paper with a sharp theory and honest, scoped evidence can succeed.
A paper reports that a platform's switch to algorithmic matching raised transaction completion by a measured amount. Framed as activity — "we analyzed 2.3M transactions before and after a matching-algorithm change" — it reads as a strong finding with no theory, a likely JAIS desk-reject. Reframed for JAIS: "Before this paper, IS theory treated platform matching as a search-cost reduction; this paper shows it also reshapes who trusts whom, introducing an algorithmic-trust channel that the search-cost account cannot explain — which changes how we theorize platform governance." The number now serves a theoretical advance, and the contribution is legible to behavioral, economic, and design-science reviewers alike. If the algorithmic-trust channel is the whole payoff, the paper may belong in the Theory category instead.
【Journal】Journal of the Association for Information Systems (JAIS)
【Contribution sentence】before this paper… ; this paper shows… ; which changes…
【Contribution kind】theoretical / methodological / empirical
【Category match】claim fits Theory / Research Article / Review / Perspectives / Foundational / Policy
【Cross-tradition legibility】graspable without insider shorthand: yes/fix
【Boundary conditions】claim scoped to evidence: yes/fix
【Next skill】jais-tables-figures© 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
Just SKILL.md in Journal-of-the-Association-for-Information-Systems-Skills/skills/jais-contribution-framing of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Jais Contribution Framing 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 |
|---|---|---|---|---|---|---|
| Jais Contribution Framing this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data Analysisspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 84k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data AnalysisOleafly/Oleafly | 212 | 2 repos | ~3.4k | Automated safety check: Notes | MIT | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT |
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
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.
Oleafly/Oleafly
Perform bounded, local exploratory analysis of explicitly supported scientific files.
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
FrankS-IntelLab/agentic-kaggle-skill
Takes a Kaggle competition from rules and validation design through baselines, ensembling and notebook architecture to a scored submission.
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…
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…
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…
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…
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…
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…
Categories
A skill your agent uses when sharpening the theoretical contribution of a Journal of the Association for Information Systems (JAIS) manuscript — stating what the paper adds to IS knowledge, matching…. Jais Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening the theoretical contribution of a Journal of the Association for Information Systems (JAIS) manuscript — stating what the paper adds to IS knowledge, matching the contribution claim to the chosen category, and making it legible to a pluralistic, theory-forward reviewer pool.
Jais Contribution Framing fits situations like: matching the contribution claim to the chosen category; making it legible to a pluralistic; theory-forward reviewer pool.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jais-contribution-framing -a claude-code`. Or copy the skill folder (Journal-of-the-Association-for-Information-Systems-Skills/skills/jais-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jais-contribution-framing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jais-contribution-framing -a codex`. Or copy the skill folder (Journal-of-the-Association-for-Information-Systems-Skills/skills/jais-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jais-contribution-framing in your project. Codex loads it when a task matches its description.
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 jais-contribution-framing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jais-contribution-framing, .gemini/skills/jais-contribution-framing, .github/skills/jais-contribution-framing and .opencode/skills/jais-contribution-framing in your project.
SKILL.md names no scripts, command-line tools or credentials: Jais Contribution Framing is instructions for the agent only.
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.
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.
Jais Contribution Framing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Jais Contribution Framing: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Exploratory Data Analysis (Oleafly/Oleafly, 212 stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.