Matlab
zLanqing/codex-claude-academic-skills
MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing.
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…
Install Aaag Data Analysis
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaag-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/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis .claude/skills/aaag-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 "aaag-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis into .claude/skills/aaag-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaag-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/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-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 aaag-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaag-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/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis .agents/skills/aaag-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 "aaag-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis into .agents/skills/aaag-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaag-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 aaag-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaag-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/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis .cursor/skills/aaag-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 "aaag-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis into .cursor/skills/aaag-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaag-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 Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-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 aaag-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaag-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/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis .gemini/skills/aaag-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 "aaag-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis into .gemini/skills/aaag-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaag-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 aaag-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 aaag-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/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis .github/skills/aaag-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 "aaag-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis into .github/skills/aaag-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaag-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 aaag-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 aaag-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/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis .opencode/skills/aaag-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 "aaag-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis into .opencode/skills/aaag-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaag-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
aaag-data-analysis- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 550 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
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…
- Running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling
- SKILL.md covers When to trigger, Spatial / quantitative, Remote sensing / physical and Qualitative / interpretive, plus 8 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Remote-sensing accuracy
What it does
Aaag Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or qualitative coding and interpretation. Sets analysis and reporting norms across the four areas; it does not choose the design.
Its SKILL.md is about 1.3k 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, Geospatial analysis and Statistics. 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
- Running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling
- Remote-sensing accuracy
- Qualitative coding and interpretation
Example prompts
- “/aaag-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
Aaag Data Analysis loads about 1.3k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 550 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). 550 words, ~1,280 tokens.
Download SKILL.mdSave it as
.claude/skills/aaag-data-analysis/SKILL.md (or your agent's skills folder).- name
- aaag-data-analysis
- description
- Use when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or qualitative coding and interpretation. Sets analysis and reporting norms across the four areas; it does not choose the design.
Data Analysis (aaag-data-analysis)
The Annals expects analyses that are spatially honest and reported with uncertainty, whatever the area. The standard is that a competent reader in the area could follow the logic from data to claim and see that the geography of the data was respected, not flattened.
When to trigger
- Estimating models, running spatial statistics, classifying imagery, or coding qualitative material
- A reviewer questioned uncertainty, robustness, spatial autocorrelation, accuracy, or interpretation
- Preparing the results section and deciding what to report
Spatial / quantitative
- Diagnose space first. Report spatial autocorrelation in residuals; if present, move to a spatial model (lag/error, GWR/MGWR, spatial regimes) and say why.
- Uncertainty everywhere. CIs/SEs (spatially robust where needed), not stars alone; for prediction, out-of-sample error from spatial/blocked CV.
- Robustness. Re-estimate across plausible areal units and bandwidths (MAUP/scale sensitivity); show the result is not a unit artifact. Report effect sizes in interpretable units.
Remote sensing / physical
- Accuracy with an independent sample. Confusion matrix, overall/producer/user accuracy, kappa or F1; for continuous outputs, RMSE/MAE and bias; map the spatial pattern of error, not just a scalar.
- Propagate uncertainty from inputs through to the reported quantity; state the validation design.
Qualitative / interpretive
- Transparent analytic trail. Coding scheme, how themes were derived, and how interpretations were checked (negative cases, member checks, triangulation) — credibility over counting.
- Evidence-to-claim mapping. Each interpretive claim is tied to identifiable (anonymized) evidence; avoid quote-mining that over-generalizes from one informant.
Mixed methods
- Show the integration. State where the strands converge and where they conflict, and how the conflict was adjudicated — do not report two parallel analyses and call it mixed methods.
Cross-cutting reporting bar
- Match every claim in the text to an exhibit or statistic; no orphan assertions.
- Report negative / null / scale-dependent results honestly; geography rewards scope conditions.
- Keep analysis reproducible: master script, seeds, pinned versions (see
aaag-transparency-and-data).
Show full SKILL.md (250 more words)Show less
Referee pushback → Annals-specific fix
- "Are these effects just spatial autocorrelation?" → Show residual Moran's I before/after a spatial model; report the spatial-error structure, not only a global coefficient.
- "Would the result change at a different scale/unit?" → Provide a MAUP/bandwidth sensitivity panel and state the scale at which the claim holds.
- "How accurate is the map?" → Area-adjusted accuracy from an independent sample + a map of where error concentrates, not a single kappa.
- "How do I know the qualitative reading isn't cherry-picked?" → Coding scheme, negative cases, and an excerpt-to-claim table.
Calibration anchors
- Uncertainty is mandatory, not optional. A coefficient or accuracy number without an interval is not yet a finding at this venue.
- Scale dependence is a result, not a nuisance. If the answer changes with the unit, say so — that is geographic knowledge.
- The spatial pattern of error is itself a finding for remote-sensing and prediction work.
Checklist
- Spatial autocorrelation diagnosed and addressed (quant)
- Uncertainty reported (CIs/SEs; out-of-sample error via spatial CV where relevant)
- MAUP/scale or bandwidth sensitivity shown (quant)
- Accuracy via independent validation + spatial error map (RS)
- Coding scheme + evidence-to-claim trail (qual); integration shown (mixed)
- Every textual claim maps to an exhibit/statistic
Anti-patterns
- Reporting OLS on spatial data with no autocorrelation check
- Stars-only tables with no effect sizes or CIs
- A single global accuracy number with no spatial error map
- Cherry-picked quotes standing in for an analytic trail
- "Mixed methods" that never integrate the strands
Output format
【Mode】spatial-quant / remote-sensing / qualitative / mixed
【Headline result】effect/accuracy/theme + its uncertainty
【Spatial honesty】autocorrelation / MAUP / spatial-CV / spatial error map handled? [Y/N]
【Robustness】checks run and what held
【Reproducibility】master script + seeds + versions? [Y/N]
【Next】aaag-tables-figuresSupplementary resources
../../resources/external_tools.md— spatial-stats, RS, and qualitative-analysis packages../../resources/README.md— shared reporting-standards background (inference, robustness)
© 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 Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aaag 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 |
|---|---|---|---|---|---|---|
| Aaag Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| MatlabzLanqing/codex-claude-academic-skills | 4.6k | 9 repos | ~2.3k | Automated safety check: Notes | GPL-3.0 | |
| Eqtl Catalogue Region FetchClawBio/ClawBio | 1.2k | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| CSV Data Analysis5zjk5/prompt-engineering | 127 | — | ~2.6k | Automated safety check: Pass | None | |
| Meridian MMM Model Buildinggoogle/meridian | 1.6k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Gwas Catalog Region FetchClawBio/ClawBio | 1.2k | 1 repos | ~3.5k | Automated safety check: Pass | MIT |
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CSV Data Analysis
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This skill should be used when users need to analyze CSV or Excel files, understand data patterns, generate statistical summaries, or create data visualizations.
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Takes a user through building a Meridian marketing mix model, from loading CSV data and mapping columns to running EDA, fitting and saving the model.
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Fetch a region of GWAS summary statistics from the NHGRI-EBI GWAS Catalog harmonised collection via tabix-on-FTP.
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Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals.
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Related
Categories
Questions about Aaag Data Analysis
What does Aaag Data Analysis do?
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…. Aaag Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or qualitative coding and interpretation.
When should I use Aaag Data Analysis?
Aaag Data Analysis fits situations like: running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling; remote-sensing accuracy; qualitative coding and interpretation.
How do I install Aaag Data Analysis in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-data-analysis -a claude-code`. Or copy the skill folder (Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aaag-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Aaag Data Analysis in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-data-analysis -a codex`. Or copy the skill folder (Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aaag-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Aaag 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 aaag-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/aaag-data-analysis, .gemini/skills/aaag-data-analysis, .github/skills/aaag-data-analysis and .opencode/skills/aaag-data-analysis in your project.
What does Aaag Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Aaag Data Analysis is instructions for the agent only.
Does Aaag 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 Aaag 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 Aaag Data Analysis use?
Aaag 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 Aaag Data Analysis use?
About 1.3k tokens (SKILL.md is roughly 5.1k 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 Aaag Data Analysis?
Skills that share tags, products or a category with Aaag Data Analysis: Matlab (zLanqing/codex-claude-academic-skills, 4.6k stars), Eqtl Catalogue Region Fetch (ClawBio/ClawBio, 1.2k stars), CSV Data Analysis (5zjk5/prompt-engineering, 127 stars) and Meridian MMM Model Building (google/meridian, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aaag Data Analysis?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.