A skill your agent uses when targeting Geology (GSA) or deciding whether a short, high-impact geoscience research letter fits this venue.

MITAuto-check passedResearch & Science

Install Geology

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills geology --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/Agriculture-Environment-Journal-Skills/skills/geology .claude/skills/geology && 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
geology
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
773 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Geology (GSA) or deciding whether a short, high-impact geoscience research letter fits this venue.

  • Targeting Geology (GSA)
  • SKILL.md covers Journal positioning, When to trigger, Scope & topic fit and Method & evidence bar, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Deciding whether a short

What it does

Geology is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Geology (GSA) or deciding whether a short, high-impact geoscience research letter fits this venue. Encodes the journal's broad-significance-in-tight-length fit, the novelty and rapid-communication bar, GSA house style, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 1.7k 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 Research & Science, covering Physical and earth sciences. 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

  • Targeting Geology (GSA)
  • Deciding whether a short
  • High-impact geoscience research letter fits this venue

Example prompts

  • “/geology”

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

Geology loads about 1.7k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 773 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 773 words, ~1,733 tokens.

Download SKILL.mdSave it as .claude/skills/geology/SKILL.md (or your agent's skills folder).
name
geology
description
Use when targeting Geology (GSA) or deciding whether a short, high-impact geoscience research letter fits this venue. Encodes the journal's broad-significance-in-tight-length fit, the novelty and rapid-communication bar, GSA house style, official-submission re-check, and desk-reject heuristics.

Geology (geology)

Journal positioning

Geology is the Geological Society of America's flagship outlet for short, high-impact research letters across the geosciences. The defining expectation is a contribution that is at once novel, broadly significant, and concisely framed for a wide geoscience audience within a tight length limit — a result that changes how a broad readership thinks about an earth process, delivered rapidly. The constraint is as much editorial as scientific: the science must be both important and compressible to a few pages, with the significance legible to non-specialists. A thorough but incremental study, a regional report without wide implications, or a paper that genuinely needs full article length to make its case is a poor fit, regardless of quality. This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current author guidance. Before submitting, re-check the live Geology / GSA author instructions and data policy.

When to trigger

  • The author names Geology and wants a fit/framing check for a short, high-significance geoscience result.
  • A finding with wide implications must be compressed into a tight, broadly legible letter rather than a full-length article.
  • The author is choosing between Geology (short GSA letter) and earth-and-planetary-science-letters (longer quantitative process article).
  • The author needs Geology's broad-significance-in-tight-length bar and rapid-communication expectations.

Scope & topic fit

  • Tectonics, structural geology, and geodynamics with implications beyond one orogen or basin.
  • Sedimentology, stratigraphy, and Earth-surface processes that reframe a depositional or landscape model.
  • Geochronology and thermochronology that newly constrain rates or timing of broad interest.
  • Petrology, volcanology, and geochemistry where a result shifts a process understanding.
  • Paleontology, paleoclimate, and paleobiology when a finding has wide-reaching significance.
  • Any geoscience subfield where the contribution is novel and the implications travel beyond the immediate community.

Method & evidence bar

  • The result must be novel and broadly significant, and that significance must be demonstrable to a wide geoscience audience, not just asserted.
  • Evidence must be sufficient and rigorous despite brevity: methods, data, and uncertainty must still be defensible within the compressed format.
  • A single, sharp claim should be supported cleanly; the letter should not over-reach beyond what the compact dataset can bear.
  • Chronology, geochemistry, and modeling claims require the same standards (standards/ reference materials, calibration, sensitivity) as longer venues, reported efficiently.
  • Alternative interpretations must be acknowledged and the preferred one justified, even in short form.
  • Supporting data, analytical detail, and code belong in a GSA data repository / supplement with a persistent identifier so the compact main text remains reproducible.

Structure & house style

  • GSA short-letter format with a strict length limit; the science must fit, not be crammed — re-check current length, figure, and reference limits on the live guide.
  • The opening must state the broad significance immediately; a slow regional setup wastes the format and the reader.
  • Figures must be few, self-explanatory, and decisive; each one must earn its place in the tight budget.
  • Methods and extended data move to the GSA data repository / supplemental material, with the main text carrying only the load-bearing evidence.
  • A data-availability statement and repository deposition are expected; the supplement must support reproducibility of the compact result.
Show full SKILL.md (264 more words)Show less

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the GSA/Geology anchors, then cite the current Geology page you checked.
  • Search the live site for "Geology GSA author guidelines" and follow the current GSA version.
  • Re-check the strict length, figure, and reference limits and the abstract/format expectations specific to short letters.
  • Confirm the GSA data-repository / supplemental-material policy and deposit supporting data with a persistent identifier.
  • Re-check competing-interests, funding, author-contribution, AI-use disclosure, and open-access terms.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • The result is novel and its significance is legible to a broad geoscience audience.
  • The science genuinely fits the short-letter length without over-reaching.
  • Methods, data, and uncertainty remain defensible within the compressed format.
  • Figures are few, decisive, and self-explanatory.
  • Extended methods/data are in the GSA repository/supplement with an identifier.
  • Alternative interpretations are acknowledged and the preferred one justified.

Common desk-reject triggers

  • A thorough but incremental result without wide implications for the format.
  • A regional study whose significance does not travel beyond the immediate community.
  • A paper that genuinely requires full article length and is crammed into the limit.
  • Brevity used to hide thin evidence, missing uncertainty, or unaddressed alternatives.
  • Overstated significance not supported by the compact dataset.
  • Missing GSA data-repository deposition where required.

Re-routing decision

  • A longer, fully quantitative process/geochemistry article → earth-and-planetary-science-letters.
  • Highest-impact geoscience breakthrough for a general audience → nature-geoscience.
  • Broad earth/environment open-access framing at standard length → communications-earth-and-environment.
  • A short geophysical result better suited to an AGU letter → geophysical-research-letters.
  • A documented dataset rather than an interpretation is the product → earth-system-science-data.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Geology (GSA)
[Topic tags] <2–3 closest geoscience topics>
[Broad significance] <why a wide geoscience audience should care, in one line>
[Fits-the-format] <can the result stand within the short-letter limit without over-reach?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <length/figure limits / GSA data repository / disclosures>
[Re-route suggestion] <if not a fit, a better-matched venue>

© 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 Agriculture-Environment-Journal-Skills/skills/geology of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Geology

What does Geology do?

A skill your agent uses when targeting Geology (GSA) or deciding whether a short, high-impact geoscience research letter fits this venue. Geology is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Geology (GSA) or deciding whether a short, high-impact geoscience research letter fits this venue.

When should I use Geology?

Geology fits situations like: targeting Geology (GSA); deciding whether a short; high-impact geoscience research letter fits this venue.

How do I install Geology in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill geology -a claude-code`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/geology in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/geology in your project. Claude Code loads it when a task matches its description.

How do I install Geology in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill geology -a codex`. Or copy the skill folder (Agriculture-Environment-Journal-Skills/skills/geology in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/geology in your project. Codex loads it when a task matches its description.

Can I use Geology 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 geology -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geology, .gemini/skills/geology, .github/skills/geology and .opencode/skills/geology in your project.

What does Geology need to run?

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

Does Geology 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 Geology 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 Geology use?

Geology 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 Geology use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

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Skills that share tags, products or a category with Geology: Astropy (zLanqing/codex-claude-academic-skills, 4.7k stars), Pymatgen (zLanqing/codex-claude-academic-skills, 4.7k stars), Cantera Ignition Delay (K-Dense-AI/scientific-agent-skills, 48k stars) and Weather (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Geology?

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.