Agent skill · Data & Analytics

amanthro-data-analysis

Use when executing and reporting the analysis/interpretation for an American Anthropologist (AA) manuscript so it survives expert anonymous review — disciplined ethnographic/qualitative inference, honest interpretation, and (for biological/archaeological work) sound quantitative analysis. Guides analysis and interpretation norms; it does not fabricate evidence or quotations.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill amanthro-data-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: American-Anthropologist-Skills/skills/amanthro-data-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Analysis & Interpretation (amanthro-data-analysis) AA reviewers are expert and read across four fields, so the same results section may be read by an ethnographer, an archaeologist, and a bioanthropologist at once. At AA, **interpretation is analysis**: qualitative inference is held to a real standard, not waved through as "context." This skill covers execution and reporting norms; design decisions live in `amanthro-research-design`. ## When to trigger - Building the results/interpretation section from fieldnotes, transcripts, material, or measurements - A reviewer asked for more evidence, alternative readings, or robustness - Reconciling what interlocutors say with what they do, or pre-planned vs. emergent themes - Making the analysis transparent enough to be credible without exposing protected sources ## Analysis & interpretation norms AA expects 1. **Show the evidence behind the claim.** Ground each interpretive claim in specific, quoted, or described evidence (a fieldnote moment, an utterance, an artifact, a measurement) — not assertion. 2. **Pursue the alternative reading.** Name the strongest rival interpretation and show why the evidence favors yours; report where it doesn

What's inside
Steps it walks through
  1. When to trigger
  2. Analysis & interpretation norms AA expects
  3. Mixed-methods / computational specifics
  4. AA four-field evidence-and-care ledger
  5. Transparency while you work (not at the end)
  6. Anti-patterns
  7. Output format
  8. What AA reviewers probe, by mode
  9. Calibration anchors (hedged)
  10. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the amanthro-data-analysis skill do?

Use when executing and reporting the analysis/interpretation for an American Anthropologist (AA) manuscript so it survives expert anonymous review — disciplined ethnographic/qualitative inference, honest interpretation, and (for biological/archaeological work) sound quantitative analysis. Guides analysis and interpretation norms; it does not fabricate evidence or quotations.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill amanthro-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.

Keep going