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Agent skill

Water Resources Research

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when targeting Water Resources Research (WRR) or deciding whether a hydrology / water-science manuscript fits this venue.

MITAuto-check passedResearch & Science

Install Water Resources Research

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills water-resources-research --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/water-resources-research .claude/skills/water-resources-research && 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
water-resources-research
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
646 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when targeting Water Resources Research (WRR) or deciding whether a hydrology / water-science manuscript fits this venue.

  • Targeting Water Resources Research (WRR)
  • 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 hydrology / water-science manuscript fits this venue

What it does

Water Resources Research is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Water Resources Research (WRR) or deciding whether a hydrology / water-science manuscript fits this venue. Encodes the journal's fit, the quantitative water-science contribution bar, data-and-code deposition expectations, AGU house style, official-submission re-check, and desk-reject heuristics.

Its SKILL.md is about 1.6k 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 Water Resources Research (WRR)
  • Deciding whether a hydrology / water-science manuscript fits this venue

Example prompts

  • “/water-resources-research”

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

Water Resources Research loads about 1.6k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 646 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 646 words, ~1,595 tokens.

Download SKILL.mdSave it as .claude/skills/water-resources-research/SKILL.md (or your agent's skills folder).
name
water-resources-research
description
Use when targeting Water Resources Research (WRR) or deciding whether a hydrology / water-science manuscript fits this venue. Encodes the journal's fit, the quantitative water-science contribution bar, data-and-code deposition expectations, AGU house style, official-submission re-check, and desk-reject heuristics.

Water Resources Research (water-resources-research)

Journal positioning

Water Resources Research (WRR) is the American Geophysical Union's flagship journal for the science of water — the physical, chemical, biological, and socio-hydrological processes governing water resources, and the methods used to observe, model, and manage them. The defining expectation is a quantitative, generalizable advance in water science: a new process understanding, method, theory, or analysis that transfers beyond one basin. An applied case study that reports model results for a single catchment with no methodological or conceptual contribution is a weak fit. 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 WRR/AGU author instructions and data policy.

When to trigger

  • The author names WRR and wants a fit/framing check for a hydrology or water-science paper.
  • A basin-specific modeling or monitoring study must be re-framed into a transferable methodological or process contribution.
  • The author is choosing between WRR, journal-of-hydrology, and a broader earth-science venue.
  • The author needs WRR's quantitative-contribution bar and AGU data-deposition expectations.

Scope & topic fit

  • Surface-water and groundwater hydrology: catchment processes, streamflow, recharge, vadose-zone and subsurface flow and transport.
  • Hydrologic modeling, data assimilation, uncertainty quantification, and predictability.
  • Hydroclimatology, snow/ice hydrology, and land–atmosphere water exchange.
  • Water quality, contaminant transport, and ecohydrology when mechanistically framed.
  • Socio-hydrology, water-resources systems, and human–water interactions with rigorous quantitative analysis.
  • Hydrologic measurement, sensing, and experimental methods that advance observation.

Method & evidence bar

  • The contribution must be quantitative and transferable: a method, theory, or process insight whose value is not confined to one site.
  • Models must be evaluated against data with appropriate skill metrics, benchmarks, and uncertainty quantification; parameter identifiability and equifinality should be addressed.
  • Observational studies need defensible sampling/monitoring design, error characterization, and reproducible processing.
  • Claims of improvement require comparison to a credible baseline (an established model or method), not a strawman.
  • Data and code underpinning the results should be deposited in a FAIR community repository per AGU policy.

Structure & house style

  • AGU article format; WRR publishes research articles, technical reports/notes, and commentaries — re-check current article types and length expectations on the live guide.
  • The introduction must state the water-science gap and the transferable contribution, not just describe a study area.
  • Figures should be quantitative and load-bearing (hydrographs, maps with uncertainty, skill/benchmark comparisons); a key-points summary is part of the AGU format.
  • Methods and data/code availability statements must let a reader reproduce the central result; AGU expects open data/software with persistent identifiers.
Show full SKILL.md (241 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 AGU anchors, then cite the current WRR page you checked.
  • Search the live site for "Water Resources Research author guidelines" and follow the current AGU/Wiley version.
  • Re-check article types, key-points and abstract format, and length expectations.
  • Confirm the AGU data and software availability policy: deposit data/code in an approved repository and cite it with a DOI.
  • Re-check competing-interests, funding, author-contribution, and 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 contribution is a transferable method/theory/process insight, not a single-basin case study.
  • Models are benchmarked against data with skill metrics and uncertainty quantification.
  • Observational design, error characterization, and processing are reproducible.
  • Improvement is shown against a credible baseline, not a strawman.
  • Data and code are deposited in a FAIR repository with persistent identifiers.
  • Key points and AGU formatting/availability statements are prepared.

Common desk-reject triggers

  • Single-catchment model application with no methodological or conceptual advance.
  • Model results presented without benchmarking, skill metrics, or uncertainty quantification.
  • Observational study with weak sampling design or no error characterization.
  • Missing or non-compliant data/code deposition where AGU policy requires it.
  • Scope mismatch: a pure water-engineering design, water-policy essay, or chemistry paper with no water-science contribution.

Re-routing decision

  • Broader process/observational/applied hydrology → journal-of-hydrology.
  • Carbon/nutrient biogeochemical cycling focus → global-biogeochemical-cycles.
  • Climate-dynamics framing dominant → journal-of-climate.
  • Land–atmosphere flux / agro-meteorology → agricultural-and-forest-meteorology.
  • New documented hydrologic dataset as the product → earth-system-science-data.

Output format

text
[Fit] High / Medium / Low (one-line reason)
[Target] Water Resources Research
[Topic tags] <2–3 closest water-science topics>
[Transferable contribution] <the method/theory/process insight beyond one basin>
[Method/evidence] <does benchmarking + uncertainty + data deposition clear WRR's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <article type / key points / AGU data-software policy / 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/water-resources-research of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Water Resources Research 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.

Water Resources Research compared with similar skills
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PymatgenzLanqing/codex-claude-academic-skills4.7k11 repos~5kAutomated safety check: PassMIT
Cantera Ignition DelayK-Dense-AI/scientific-agent-skills48k1 repos~2.2kAutomated safety check: PassMIT
Weathertrpc-group/trpc-agent-go1.9k8 repos~591Automated safety check: PassApache-2.0
Pymol VisualizationChatMol/ChatMol373—~1.2kAutomated safety check: PassMIT

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Categories

Questions about Water Resources Research

What does Water Resources Research do?

A skill your agent uses when targeting Water Resources Research (WRR) or deciding whether a hydrology / water-science manuscript fits this venue. Water Resources Research is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when targeting Water Resources Research (WRR) or deciding whether a hydrology / water-science manuscript fits this venue.

When should I use Water Resources Research?

Water Resources Research fits situations like: targeting Water Resources Research (WRR); deciding whether a hydrology / water-science manuscript fits this venue.

How do I install Water Resources Research in Claude Code?

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

How do I install Water Resources Research in Codex?

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

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

What does Water Resources Research need to run?

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

Does Water Resources Research 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 Water Resources Research 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 Water Resources Research use?

Water Resources Research 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 Water Resources Research use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 Water Resources Research?

Skills that share tags, products or a category with Water Resources Research: 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 Water Resources Research?

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.