A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

MITAuto-check passedData & Analytics

Install Aaag Research Design

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-research-design -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaag-research-design --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-research-design .claude/skills/aaag-research-design && rm -rf skills-src

Use ~/.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/

Facts

Skill name
aaag-research-design
GitHub stars
1.2k
Token cost
~1.4k tokens
SKILL.md length
589 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

  • Remote-sensing and physical-environmental methods
  • SKILL.md covers When to trigger, Spatial / quantitative…, Remote sensing /… and Qualitative / human-geography, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Qualitative human-geography inference

What it does

Aaag Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and physical-environmental methods, qualitative human-geography inference, or nature-society mixed methods. The Annals judges each tradition on its own terms. Strengthens the design; it does not write code.

Its SKILL.md is about 1.4k 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 Geospatial 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

  • Remote-sensing and physical-environmental methods
  • Qualitative human-geography inference
  • Nature-society mixed methods

Example prompts

  • “/aaag-research-design”

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 Research Design loads about 1.4k tokens when it runs. Until then it costs about 99 tokens; SKILL.md has 589 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~99
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

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). 589 words, ~1,437 tokens.

Download SKILL.mdSave it as .claude/skills/aaag-research-design/SKILL.md (or your agent's skills folder).
name
aaag-research-design
description
Use when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and physical-environmental methods, qualitative human-geography inference, or nature-society mixed methods. The Annals judges each tradition on its own terms. Strengthens the design; it does not write code.

Research Design (aaag-research-design)

The Annals spans four areas and accepts many methodologies, but is demanding about each. The design must credibly connect the geographic argument (aaag-theory-building) to the evidence, and must take space and scale seriously — spatial dependence, the MAUP, projection, and sampling are design issues, not afterthoughts. This skill is mode-aware: pick the section that matches your work.

When to trigger

  • Specifying identification, sampling, case selection, or measurement
  • A reviewer questioned spatial autocorrelation, scale/MAUP, edge effects, validation, or a confound
  • Justifying why the design adjudicates the rival account from aaag-literature-positioning

Spatial / quantitative analysis & GIScience

  • Take space seriously. Test and model spatial dependence (Moran's I, spatial lag/error, GWR/MGWR where heterogeneity is the point); state how the MAUP / scale could change conclusions.
  • Geography of the data. Document projection/CRS, areal units, edge effects, and the support of measurements; spatial sampling and its biases.
  • Inference. Cluster or use spatial SEs at the right level; for spatial autocorrelation, report diagnostics; for prediction, use spatially-aware cross-validation (blocked/spatial CV), not random folds.

Remote sensing / physical-environmental

  • Measurement validity. Sensor/resolution choices, atmospheric/geometric correction, and ground truth; quantify accuracy (confusion matrix, kappa/F1, RMSE) with an independent validation sample.
  • Process linkage. Tie observed pattern to an earth-surface process and its scale; state the uncertainty budget end to end.

Qualitative / human-geography

  • Case selection by design logic (typical, extreme, paired, regional contrast) — say what the case is a case of. Convenience is not a rationale.
  • Positionality, reflexivity, and rigor appropriate to the method (ethnography, interviews, archives, discourse/textual analysis); state how interpretations were checked.
  • Source/field transparency: plan how fieldnotes, interviews, and archives are documented and cited (see aaag-transparency-and-data), including consent and geoprivacy.

Nature-society / mixed methods

  • Integrate, don't staple. Specify how the biophysical and social strands inform one another (e.g., land-change observation + livelihood interviews), and how convergence/divergence is handled.

The adjudication test (Annals-specific)

For the single strongest rival explanation, write: "If the rival held rather than my argument, the [spatial pattern / measurements / accounts] would look like ___; instead they look like ___." If the design cannot distinguish them — including ruling out a scale or spatial-autocorrelation artifact — it does not yet identify the contribution.

Show full SKILL.md (242 more words)Show less

Referee pushback → Annals-specific fix

Likely objectionAreaThe fix
"Your OLS ignores spatial autocorrelation."Methods/HumanTest residual Moran's I; move to a spatial model and report diagnostics.
"This is a unit-of-analysis artifact (MAUP)."Methods/Nature-SocietyRe-run across areal units/bandwidths; show stability or scope the claim by scale.
"Random CV overstates accuracy on spatial data."Methods/RSUse blocked/spatial CV; report the spatial structure of error.
"No independent validation of the classification."RS/PhysicalAdd a held-out reference sample + area-adjusted accuracy.
"Convenience case; what is it a case of?"Human/Nature-SocietyState the case-selection logic and the population it represents.
"Whose voice / positionality?"HumanMake reflexivity and interpretation-checking explicit.

Calibration anchors

  • Space is a design issue, not a covariate. Dependence, scale, projection, and sampling are decided in the design, not patched in robustness.
  • Each tradition on its own terms. A qualitative design is not weaker for lacking an estimand; it needs case logic, reflexivity, and disconfirmation criteria instead.
  • Mixed means integrated. Two parallel analyses are not mixed methods; specify the linkage.

Anti-patterns

  • Ignoring spatial autocorrelation, then reporting OLS SEs as if observations were independent
  • No MAUP/scale sensitivity when the result could be a unit-of-analysis artifact
  • Classification/prediction with no independent validation, or random CV on spatial data
  • Convenience case selection dressed up as theory-driven; positionality omitted in interpretive work
  • A nature-society design that never actually links the two strands

Output format

【Mode】spatial-quant / remote-sensing-physical / qualitative / mixed
【Estimand or claim】what is identified/shown
【Spatial integrity】dependence / MAUP-scale / projection / validation handled? [Y/N]
【Rival ruled out】the adjudication sentence (incl. scale/spatial-artifact)
【Robustness】planned checks
【Next】aaag-data-analysis

Supplementary resources

© 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-research-design of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Aaag Research Design 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.

Aaag Research Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aaag Research Design this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.4kAutomated safety check: PassMIT
Antv L7antvis/L74.1k—~1.4kAutomated safety check: PassMIT
Portaljs Add Geodatopian/portaljs2.4k1 repos~1.7kAutomated safety check: PassMIT
Thematic Mapzzhonglei/GeoCode-Release189—~3.1kAutomated safety check: PassMIT
Rs Paper Pipelinethinson/RS-PaperClaw230—~319Automated safety check: PassMIT
Querying Indonesian Gov Datasuryast/indonesia-gov-apis172—~1.4kAutomated safety check: PassMIT

Similar skills

  • Antv L7

    antvis/L7

    Comprehensive guide for AntV L7 geospatial visualization library.

    4.1k GitHub stars~1.4k tokensUpdated 1 mo ago
    Data & AnalyticsAuto-check passed
  • Portaljs Add Geo

    datopian/portaljs

    Auto-ingest a geospatial file (GeoJSON, Shapefile, GeoPackage, KML/KMZ, FlatGeobuf, CSV-with-geometry) into a PortalJS portal on the user's own machine, with no server.

    2.4k GitHub starsUsed in 1 repo~1.7k tokens
    Data & AnalyticsAuto-check passed
  • Thematic Map

    zzhonglei/GeoCode-Release

    Create well-designed maps that follow standard cartographic conventions.

    189 GitHub stars~3.1k tokensUpdated 7 days ago
    Data & AnalyticsAuto-check passed
  • Rs Paper Pipeline

    thinson/RS-PaperClaw

    A skill your agent uses when operating or maintaining the RS-PaperClaw pipeline that fetches remote-sensing arXiv papers, creates per-paper issues, builds daily digests, reconciles issue sets, and…

    230 GitHub stars~319 tokensUpdated 2 days ago
    Data & AnalyticsAuto-check passed
  • Querying Indonesian Gov Data

    suryast/indonesia-gov-apis

    Find and assess Indonesian public-data sources using a dated, evidence-backed catalog.

    172 GitHub stars~1.4k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • Remote Sensing Research Radar

    limi124/remote-sensing-research-radar

    Track, retrieve, screen, and synthesize research frontiers for geospatial AI, remote sensing big data, and transferable computer vision methods.

    143 GitHub stars~1.3k tokensUpdated 5 mo ago
    Data & AnalyticsAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    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…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 14 days ago
    Auto-check passed
  • Aaag Tables Figures

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when building maps, figures, and tables for an Annals of the American Association of Geographers manuscript.

    1.2k GitHub stars~2k tokensUpdated 14 days ago
    Auto-check passed

Questions about Aaag Research Design

What does Aaag Research Design do?

A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…. Aaag Research Design is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and physical-environmental methods, qualitative human-geography inference, or nature-society mixed methods.

When should I use Aaag Research Design?

Aaag Research Design fits situations like: remote-sensing and physical-environmental methods; qualitative human-geography inference; nature-society mixed methods.

How do I install Aaag Research Design in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-research-design -a claude-code`. Or copy the skill folder (Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-research-design in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aaag-research-design in your project. Claude Code loads it when a task matches its description.

How do I install Aaag Research Design in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-research-design -a codex`. Or copy the skill folder (Annals-of-the-American-Association-of-Geographers-Skills/skills/aaag-research-design in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aaag-research-design in your project. Codex loads it when a task matches its description.

Can I use Aaag Research Design 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-research-design -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-research-design, .gemini/skills/aaag-research-design, .github/skills/aaag-research-design and .opencode/skills/aaag-research-design in your project.

What does Aaag Research Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Aaag Research Design is instructions for the agent only.

Does Aaag Research Design 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 Research Design 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 Research Design use?

Aaag Research Design 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 Research Design use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 Aaag Research Design?

Skills that share tags, products or a category with Aaag Research Design: Antv L7 (antvis/L7, 4.1k stars), Portaljs Add Geo (datopian/portaljs, 2.4k stars), Thematic Map (zzhonglei/GeoCode-Release, 189 stars) and Rs Paper Pipeline (thinson/RS-PaperClaw, 230 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aaag Research Design?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.