Car Tables Figures
franklee16/academic-research-skills
A skill your agent uses when building the exhibits of a Contemporary Accounting Research (CAR) manuscript — descriptive/correlation/results tables for archival work, experimental cell-means and…
A skill your agent uses when analyzing the material of an Accounting, Organizations and Society (AOS) manuscript — coding and interpreting qualitative field data, estimating experimental and survey…
Install Aos Data Analysis
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aos-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aos-data-analysis --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/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis .claude/skills/aos-data-analysis && 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 "aos-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis into .claude/skills/aos-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aos-data-analysis", 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/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysisType 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 aos-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aos-data-analysis --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/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis .agents/skills/aos-data-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aos-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis into .agents/skills/aos-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aos-data-analysis", 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 aos-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aos-data-analysis --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/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis .cursor/skills/aos-data-analysis && 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 "aos-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis into .cursor/skills/aos-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aos-data-analysis", 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 Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis--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 aos-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aos-data-analysis --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/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis .gemini/skills/aos-data-analysis && 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 "aos-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis into .gemini/skills/aos-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aos-data-analysis", 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 aos-data-analysisInstalls 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 aos-data-analysis -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/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis .github/skills/aos-data-analysis && 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 "aos-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis into .github/skills/aos-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aos-data-analysis", 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 aos-data-analysis -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 aos-data-analysis --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/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis .opencode/skills/aos-data-analysis && 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 "aos-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis into .opencode/skills/aos-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aos-data-analysis", 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
aos-data-analysis- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 641 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when analyzing the material of an Accounting, Organizations and Society (AOS) manuscript — coding and interpreting qualitative field data, estimating experimental and survey…
- Analyzing the material of an Accounting
- SKILL.md covers When to trigger, Qualitative analysis (field /…, Experimental and survey analysis and Archival-with-theory analysis, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Organizations and Society (AOS) manuscript — coding and interpreting qualitative field data
What it does
Aos Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when analyzing the material of an Accounting, Organizations and Society (AOS) manuscript — coding and interpreting qualitative field data, estimating experimental and survey models, or running theory-laden archival analyses, with an audit trail appropriate to each tradition. Analyzes and reports; it does not design the study (aos-methods).
Its SKILL.md is about 1.5k 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 and Accounting and bookkeeping. 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
- Analyzing the material of an Accounting
- Organizations and Society (AOS) manuscript — coding and interpreting qualitative field data
- Estimating experimental and survey models
- Running theory-laden archival analyses
Example prompts
- “/aos-data-analysis”
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
Aos Data Analysis loads about 1.5k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 641 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). 641 words, ~1,511 tokens.
Download SKILL.mdSave it as
.claude/skills/aos-data-analysis/SKILL.md (or your agent's skills folder).- name
- aos-data-analysis
- description
- Use when analyzing the material of an Accounting, Organizations and Society (AOS) manuscript — coding and interpreting qualitative field data, estimating experimental and survey models, or running theory-laden archival analyses, with an audit trail appropriate to each tradition. Analyzes and reports; it does not design the study (aos-methods).
Analysis & Evidence Craft (aos-data-analysis)
When to trigger
- Interviews, observations, and documents are collected and must become findings
- Experimental or survey data are in and the estimation plan is unsettled
- A mixed-methods paper needs its qualitative and quantitative strands reconciled
- Reviewers will probe the traceability of interpretations or the fit of the statistics
Qualitative analysis (field / historical material)
- Code with the lens on. First-order codes stay close to informants' language; second-order categories translate them into the paper's theoretical vocabulary; the movement between the two is the analysis. Keep the codebook versioned so you can show how categories evolved.
- Work the anomalies. The abductive engine: catalog episodes the current theory cannot absorb, and let them force conceptual revision — this is where AOS papers earn their contribution.
- Build the evidentiary chain. Every conceptual claim should trace to identifiable material (interview number, meeting observed, document). Maintain a claim → evidence register; reviewers increasingly expect a data-structure or evidence table.
- Weigh counter-evidence. Report material that resists the interpretation and say why the reading survives; interpretive rigor at AOS is demonstrated, not asserted.
- Historical work: corroborate across independent archives; date claims precisely; distinguish what the sources show from what the genealogy argues.
Experimental and survey analysis
- Match the model to the randomized design: ANOVA/ANCOVA with planned contrasts for factorial experiments; report cell means, standard deviations, per-cell n, and effect sizes, not p-values alone.
- Test the theorized process: mediation with bootstrapped confidence intervals; moderation exactly as predicted, with simple-effects follow-ups.
- Respect the randomization unit; report manipulation-check results and pre-specified exclusions transparently.
- Surveys: reliability and validity evidence (alpha/CR, factor structure), common-method-bias diagnostics, and models matched to the nesting of the data.
Archival-with-theory analysis
- Standard panel hygiene (fixed effects suited to the institutional claim, standard errors clustered to the data structure, documented sample screens) — but keep the estimand tied to the organizational/institutional construct, and interpret magnitudes in the theory's terms rather than as pricing effects.
Show full SKILL.md (326 more words)Show less
Execution bridge (StatsPAI / Stata MCP)
For the quantitative lane of an AOS paper — experiments, surveys, and archival-with-theory
designs — execute and audit rather than only specify. Full map:
execution-with-mcp.
AOS is mixed-methods: route only the statistical strand through this bridge, and let the
qualitative strand keep its own audit trail (codebook, evidence register) outside it.
detect_design→recommend→ fit withas_handle=true→audit_resultto enumerate the checks the design owes before a reviewer asks.- Experiments / many outcomes: randomization-based inference plus
romano_wolforbenjamini_hochbergfor the multi-outcome families behavioral reviewers flag. - Surveys / nested data: cluster at the right level;
wild_cluster_bootstrapwhen clusters are few. - Institutional-shift panels:
callaway_santanna/sun_abrahamwithbacon_decompositionand pre-trend evidence if a staggered adoption carries the claim;oster_delta/sensemakrfor OVB sensitivity. - Exhibits:
etable/plot_from_resultstraight from the fitted handle — never retype numbers into tables.
Keep decisive checks in the body, the battery in an appendix, and reconcile every printed number with the script that produced it.
Reproducibility and the audit trail
- Qualitative: retain the coded corpus, codebook versions, and the claim–evidence register for the life of the project (subject to consent terms); describe the analytic process in the paper concretely enough to be assessed.
- Quantitative: scripts regenerate every exhibit from raw data; exclusions, transformations, and winsorizing documented; share instruments and code where consent and confidentiality allow, and state any restrictions honestly.
Checklist
- (Qualitative) codebook versioned; claim → evidence register complete; counter-evidence weighed
- (Qualitative) second-order categories do theoretical work beyond labeling
- (Experiment) cell means, effect sizes, process tests with bootstrap CIs reported
- (Survey) reliability/validity and method-bias diagnostics reported
- (Archival) clustering, screens, and estimand documented; interpretation stays institutional
- Every exhibit regenerates from scripts or traces to the register
Anti-patterns
- Quote-stitching: colorful excerpts arranged to illustrate a story decided in advance.
- Counting qualitative data as if frequency were meaning ("mentioned in 63% of interviews").
- Stars without process in experiments — a significant main effect with no mediator evidence.
- Untraceable interpretation: findings a skeptic cannot follow back to specific material.
Output format
【Strand(s)】qualitative / experimental / survey / archival — analysis state ...
【Evidence chain】codebook + claim-evidence register OR scripts + audit status ...
【Process tests】mediation / moderation / pre-trends as applicable ...
【Counter-evidence】weighed and reported? ...
【Reproducibility】what regenerates, what is restricted and why ...
【Next step】aos-contribution-framing© 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 Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aos Data Analysis 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 |
|---|---|---|---|---|---|---|
| Aos Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Car Tables Figuresfranklee16/academic-research-skills | 223 | 1 repos | ~997 | Automated safety check: Pass | None | |
| Jae Data Analysisfranklee16/academic-research-skills | 223 | 1 repos | ~1.3k | Automated safety check: Pass | None | |
| Car Data Analysisfranklee16/academic-research-skills | 223 | 1 repos | ~1.3k | Automated safety check: Pass | None | |
| Car Methodsfranklee16/academic-research-skills | 223 | 1 repos | ~1.2k | Automated safety check: Pass | None | |
| Jar Data Analysisfranklee16/academic-research-skills | 223 | 1 repos | ~1.3k | Automated safety check: Pass | None |
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Categories
Questions about Aos Data Analysis
What does Aos Data Analysis do?
A skill your agent uses when analyzing the material of an Accounting, Organizations and Society (AOS) manuscript — coding and interpreting qualitative field data, estimating experimental and survey…. Aos Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when analyzing the material of an Accounting, Organizations and Society (AOS) manuscript — coding and interpreting qualitative field data, estimating experimental and survey models, or running theory-laden archival analyses, with an audit trail appropriate to each tradition.
When should I use Aos Data Analysis?
Aos Data Analysis fits situations like: analyzing the material of an Accounting; organizations and Society (AOS) manuscript — coding and interpreting qualitative field data; estimating experimental and survey models; running theory-laden archival analyses.
How do I install Aos Data Analysis in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aos-data-analysis -a claude-code`. Or copy the skill folder (Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aos-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Aos Data Analysis in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aos-data-analysis -a codex`. Or copy the skill folder (Accounting-Organizations-and-Society-Skills/skills/aos-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aos-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Aos Data Analysis 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 aos-data-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aos-data-analysis, .gemini/skills/aos-data-analysis, .github/skills/aos-data-analysis and .opencode/skills/aos-data-analysis in your project.
What does Aos Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Aos Data Analysis is instructions for the agent only.
Does Aos Data Analysis 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 Aos Data Analysis 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 Aos Data Analysis use?
Aos Data Analysis 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 Aos Data Analysis use?
About 1.5k tokens (SKILL.md is roughly 6k 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 Aos Data Analysis?
Skills that share tags, products or a category with Aos Data Analysis: Car Tables Figures (franklee16/academic-research-skills, 223 stars), Jae Data Analysis (franklee16/academic-research-skills, 223 stars), Car Data Analysis (franklee16/academic-research-skills, 223 stars) and Car 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 Aos Data Analysis?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.