Exploratory Data Analysis
spacering-net/codeg
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
Agent skill
Curranthro Data Analysis
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when executing and reporting the analysis/interpretation for a Current Anthropology (CA) manuscript so it survives expert review and the published CA✩ Comments — disciplined…
Install Curranthro Data Analysis
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill curranthro-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills curranthro-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/Current-Anthropology-Skills/skills/curranthro-data-analysis .claude/skills/curranthro-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 "curranthro-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Current-Anthropology-Skills/skills/curranthro-data-analysis into .claude/skills/curranthro-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curranthro-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/Current-Anthropology-Skills/skills/curranthro-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 curranthro-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills curranthro-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/Current-Anthropology-Skills/skills/curranthro-data-analysis .agents/skills/curranthro-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 "curranthro-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Current-Anthropology-Skills/skills/curranthro-data-analysis into .agents/skills/curranthro-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curranthro-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 curranthro-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills curranthro-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/Current-Anthropology-Skills/skills/curranthro-data-analysis .cursor/skills/curranthro-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 "curranthro-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Current-Anthropology-Skills/skills/curranthro-data-analysis into .cursor/skills/curranthro-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curranthro-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 Current-Anthropology-Skills/skills/curranthro-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 curranthro-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills curranthro-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/Current-Anthropology-Skills/skills/curranthro-data-analysis .gemini/skills/curranthro-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 "curranthro-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Current-Anthropology-Skills/skills/curranthro-data-analysis into .gemini/skills/curranthro-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curranthro-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 curranthro-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 curranthro-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/Current-Anthropology-Skills/skills/curranthro-data-analysis .github/skills/curranthro-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 "curranthro-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Current-Anthropology-Skills/skills/curranthro-data-analysis into .github/skills/curranthro-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curranthro-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 curranthro-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 curranthro-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/Current-Anthropology-Skills/skills/curranthro-data-analysis .opencode/skills/curranthro-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 "curranthro-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Current-Anthropology-Skills/skills/curranthro-data-analysis into .opencode/skills/curranthro-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "curranthro-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
curranthro-data-analysis- GitHub stars
- 1.2k
- Token cost
- ~1.9k tokens
- SKILL.md length
- 816 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when executing and reporting the analysis/interpretation for a Current Anthropology (CA) manuscript so it survives expert review and the published CA✩ Comments — disciplined…
- Works in 6 steps: Show the evidence behind the claim.… → Pursue the alternative reading. Name the… → Disconfirming evidence. Include cases… → …
- Honest interpretation
- SKILL.md covers When to trigger, Analysis & interpretation…, Mixed-methods / computational… and CA comment-facing analysis…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Curranthro Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing and reporting the analysis/interpretation for a Current Anthropology (CA) manuscript so it survives expert review and the published CA✩ Comments — 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.
Its SKILL.md is about 1.9k 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
- Honest interpretation
- (for biological/archaeological work) sound quantitative analysis
Example prompts
- “/curranthro-data-analysis”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Show the evidence behind the claim. Ground each interpretive claim in specific, quoted, or
- Pursue the alternative reading. Name the strongest rival interpretation and show why the evidence
- Disconfirming evidence. Include cases that complicate the argument rather than curating only
- Quote and represent fairly. Translate and contextualize interlocutors' words; do not flatten them
- For quantitative subfields (biological/archaeological): report effect sizes and uncertainty, not
- Reflexivity in the analysis. Note how your position shaped which evidence was available and how
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
Curranthro Data Analysis loads about 1.9k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 816 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). 816 words, ~1,924 tokens.
Download SKILL.mdSave it as
.claude/skills/curranthro-data-analysis/SKILL.md (or your agent's skills folder).- name
- curranthro-data-analysis
- description
- Use when executing and reporting the analysis/interpretation for a Current Anthropology (CA) manuscript so it survives expert review and the published CA✩ Comments — 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.
Analysis & Interpretation (curranthro-data-analysis)
CA reviewers and commentators are expert and read across every subfield, so the same results may be read
by an ethnographer, an archaeologist, and a bioanthropologist at once — and for a Major Article, their
critiques are published as signed Comments beside your paper. At CA, 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 curranthro-research-design.
When to trigger
- Building the results/interpretation section from fieldnotes, transcripts, material, or measurements
- A reviewer (or anticipated commentator) 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 CA expects
- 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.
- Pursue the alternative reading. Name the strongest rival interpretation and show why the evidence favors yours; report where it doesn't fit cleanly. A Major Article that pre-empts the obvious Comment is far stronger when the Comments arrive.
- Disconfirming evidence. Include cases that complicate the argument rather than curating only confirming material; say what you learned from the friction.
- Quote and represent fairly. Translate and contextualize interlocutors' words; do not flatten them into illustrations of your theory. Attribute analytics to communities where they originate.
- For quantitative subfields (biological/archaeological): report effect sizes and uncertainty, not just significance; pre-specify where possible; correct for multiple comparisons; validate measures; avoid conflating ancestry with social race.
- Reflexivity in the analysis. Note how your position shaped which evidence was available and how you read it.
Mixed-methods / computational specifics
- If you code text or use computational tools on field/archival data, document the procedure, validate against close reading, and treat outputs as interpretable evidence, not ground truth.
- Keep the qualitative core legible: a table or model never replaces the interpretive argument at CA.
CA comment-facing analysis ledger
For a CA Major Article, treat analysis as something that must survive not only peer review but also the published conversation around the paper. Build a comment-facing ledger before drafting results.
| Likely commentator position | Claim they will test | Evidence to prepare | Reply posture |
|---|---|---|---|
| Adjacent subfield expert | Does this travel beyond the focal case/subfield? | boundary cases, comparative anchors, portability limits | clarify scope without retreating from the central claim |
| Method specialist | Does the evidence warrant the interpretation? | audit trail, rival reading, robustness/triangulation | show what each evidence mode can and cannot decide |
| Area or historical specialist | Are local terms, archives, or chronologies flattened? | contextual detail, source limits, translation choices | acknowledge specificity as part of the contribution |
| Theory critic | Is the concept doing explanatory work or merely labeling? | mechanism, genealogy, counterexample | refine the concept's reach |
| Ethics/community critic | Who bears the cost of the claim? | consent/provenance trail, anonymization logic, attribution | protect participants while answering the analytic point |
Distinguish article type: a Major Article needs an agenda-setting claim robust enough for signed Comments and a Reply; a shorter report can make a bounded empirical contribution, but still needs to state the limits that commentators would otherwise supply for you.
Show full SKILL.md (280 more words)Show less
Transparency while you work (not at the end)
- Maintain an audit trail linking claims to sources (evidence tables, coded excerpts) so the argument is checkable without de-anonymizing protected interlocutors.
- For quantitative work: set/report seeds, pin software versions, keep exhibit numbers matched to outputs
(see
curranthro-transparency-and-data).
Anti-patterns
- Cherry-picked quotes that illustrate the thesis with no disconfirming cases
- Interpretation asserted with no grounding evidence ("informants felt…")
- Treating qualitative evidence as merely decorative around a "real" quantitative result (or the reverse)
- Stars-only tables with no effect sizes/intervals (biological/archaeological work)
- Extracting community analytics without attribution; speaking for rather than with interlocutors
- Numbers or quotations the underlying record cannot support — commentators will check
Output format
【Main claim】the interpretive/empirical result
【Evidence】what grounds it (fieldnote / utterance / material / measure)
【Article posture】Major Article / report-length contribution; comment exposure named?
【Alternative reading】named and adjudicated?
【Disconfirming evidence】included and addressed? [Y/N]
【Anticipated Comments】top 2-3 commentator objections and prepared evidence
【Quant rigor】(if applicable) effect size + uncertainty + validation
【Reflexivity】position's effect on the analysis noted? [Y/N]
【Reply-ready limit】what the Reply can concede without breaking the argument
【Next】curranthro-tables-figuresWhat CA reviewers and commentators probe, by mode
| Mode | The check a referee/commentator runs first | The fix that earns trust |
|---|---|---|
| Ethnographic / interpretive | Is the claim grounded in shown evidence, or asserted? | Quote/describe the moment; name the rival reading |
| Archival / material | Are the silences and biases of the source read, not ignored? | Read against the grain; state what the archive cannot show |
| Biological / quantitative | Is uncertainty honest and "race" handled carefully? | Effect sizes + intervals; ancestry ≠ social race; validated measures |
| Linguistic | Does the transcript support the indexical claim? | Show the discourse data; tie form to social meaning |
Calibration anchors (hedged)
- The bar is agenda-setting significance with honest interpretation, not within-subfield novelty or statistical decoration; a rich case with a thin argument rarely clears CA Major-Article review.
- CA practices methodological pluralism — match the inference standard to the mode, and never trade interlocutors' dignity for a sharper claim.
- Specific transparency mechanics can change — confirm against the journal's current guidelines.
Supplementary resources
../../resources/external_tools.md— qualitative-analysis, transcription, and quantitative packages../../resources/exemplars/library.md— how verified CA papers ground interpretation
© 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 Current-Anthropology-Skills/skills/curranthro-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Curranthro 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 |
|---|---|---|---|---|---|---|
| Curranthro Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.9k | 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 | 209 | 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 |
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Categories
Questions about Curranthro Data Analysis
What does Curranthro Data Analysis do?
A skill your agent uses when executing and reporting the analysis/interpretation for a Current Anthropology (CA) manuscript so it survives expert review and the published CA✩ Comments — disciplined…. Curranthro Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when executing and reporting the analysis/interpretation for a Current Anthropology (CA) manuscript so it survives expert review and the published CA✩ Comments — disciplined ethnographic/qualitative inference, honest interpretation, and (for biological/archaeological work) sound quantitative analysis.
When should I use Curranthro Data Analysis?
Curranthro Data Analysis fits situations like: honest interpretation; (for biological/archaeological work) sound quantitative analysis.
How do I install Curranthro Data Analysis in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill curranthro-data-analysis -a claude-code`. Or copy the skill folder (Current-Anthropology-Skills/skills/curranthro-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/curranthro-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Curranthro Data Analysis in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill curranthro-data-analysis -a codex`. Or copy the skill folder (Current-Anthropology-Skills/skills/curranthro-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/curranthro-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Curranthro 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 curranthro-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/curranthro-data-analysis, .gemini/skills/curranthro-data-analysis, .github/skills/curranthro-data-analysis and .opencode/skills/curranthro-data-analysis in your project.
What does Curranthro Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Curranthro Data Analysis is instructions for the agent only.
Does Curranthro 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 Curranthro 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 Curranthro Data Analysis use?
Curranthro 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 Curranthro Data Analysis use?
About 1.9k tokens (SKILL.md is roughly 7.7k 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 Curranthro Data Analysis?
Skills that share tags, products or a category with Curranthro Data Analysis: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 84k stars), Exploratory Data Analysis (Oleafly/Oleafly, 209 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.
Who maintains Curranthro 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.