aos-data-analysis
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).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aos-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ## Quali
What does the aos-data-analysis skill do?
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).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aos-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.