Weather Data Reproducibility
sickn33/agentic-awesome-skills
Record and verify provenance manifests for weather-data inputs and derived artifacts, including object identity, selections, software versions, transformations, and hashes.
A skill your agent uses when building the online Methods section of a Nature Geoscience manuscript so every quantitative Earth-science claim is grounded in data, model diagnostics, and quantified…
Install Ngeo Methods
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-methods -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-methods --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/Nature-Geoscience-Skills/skills/ngeo-methods .claude/skills/ngeo-methods && 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 "ngeo-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-methods into .claude/skills/ngeo-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-methods", 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/Nature-Geoscience-Skills/skills/ngeo-methodsType 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 ngeo-methods -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-methods --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/Nature-Geoscience-Skills/skills/ngeo-methods .agents/skills/ngeo-methods && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ngeo-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-methods into .agents/skills/ngeo-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-methods", 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 ngeo-methods -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-methods --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/Nature-Geoscience-Skills/skills/ngeo-methods .cursor/skills/ngeo-methods && 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 "ngeo-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-methods into .cursor/skills/ngeo-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-methods", 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 Nature-Geoscience-Skills/skills/ngeo-methods--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 ngeo-methods -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ngeo-methods --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/Nature-Geoscience-Skills/skills/ngeo-methods .gemini/skills/ngeo-methods && 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 "ngeo-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-methods into .gemini/skills/ngeo-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-methods", 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 ngeo-methodsInstalls 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 ngeo-methods -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/Nature-Geoscience-Skills/skills/ngeo-methods .github/skills/ngeo-methods && 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 "ngeo-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-methods into .github/skills/ngeo-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-methods", 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 ngeo-methods -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 ngeo-methods --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/Nature-Geoscience-Skills/skills/ngeo-methods .opencode/skills/ngeo-methods && 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 "ngeo-methods" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Nature-Geoscience-Skills/skills/ngeo-methods into .opencode/skills/ngeo-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ngeo-methods", 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
ngeo-methods- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 682 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when building the online Methods section of a Nature Geoscience manuscript so every quantitative Earth-science claim is grounded in data, model diagnostics, and quantified…
- Building the online Methods section of a Nature Geoscience manuscript so every quantitative Earth-science claim is grounded in data
- SKILL.md covers When to trigger, The Nature Methods architecture, What every Nature Geoscience… and Grounding without…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Model diagnostics
What it does
Ngeo Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the online Methods section of a Nature Geoscience manuscript so every quantitative Earth-science claim is grounded in data, model diagnostics, and quantified uncertainty. Structures Methods and the reproducibility layer; does not design figures or frame the headline result.
Its SKILL.md is about 1.5k 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 and Reproducible research. 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
- Building the online Methods section of a Nature Geoscience manuscript so every quantitative Earth-science claim is grounded in data
- Model diagnostics
- Quantified uncertainty
Example prompts
- “/ngeo-methods”
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
Ngeo Methods loads about 1.5k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 682 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). 682 words, ~1,544 tokens.
Download SKILL.mdSave it as
.claude/skills/ngeo-methods/SKILL.md (or your agent's skills folder).- name
- ngeo-methods
- description
- Use when building the online Methods section of a Nature Geoscience manuscript so every quantitative Earth-science claim is grounded in data, model diagnostics, and quantified uncertainty. Structures Methods and the reproducibility layer; does not design figures or frame the headline result.
Nature Geoscience Methods (ngeo-methods)
When to trigger
- Your main text is carrying instrument, sampling, or model-configuration detail that belongs online
- You cannot tell what a reader needs in the main text versus what belongs in online Methods
- Referees of a prior draft asked how a number was derived or how uncertainty was propagated
- The Article is over length and Methods-type material is a prime relocation target
- You are unsure how to state data and code availability
The Nature Methods architecture
Nature Geoscience separates the main text from an online Methods section (placed after the main text, divided by topical subheadings; verify current length allowances). The division of labor:
- Main text carries only what a broad reader needs to believe and interpret the headline advance: the essential approach, the decisive observational or model constraint, and the headline uncertainty.
- Online Methods carries the full, reproducible account: instruments and platforms, sampling and site selection, proxy calibration, model setup and forcing, statistical procedures, and the complete uncertainty budget.
The online Methods is not an appendix of leftovers — it is peer-reviewed in full and is where a specialist referee decides whether to trust the result.
What every Nature Geoscience Methods must ground
| Claim type | Must appear in Methods |
|---|---|
| Field / lab measurement | instrument, precision, sampling design, replication |
| Remote-sensing / satellite product | sensor, product version, retrieval, resolution, bias handling |
| Proxy reconstruction | calibration dataset, transfer function, age model, error |
| Model result | model + version, resolution, forcing/boundary conditions, spin-up, ensemble |
| Any statistical inference | test, assumptions, significance definition, multiple-comparison handling |
| Every headline number | how uncertainty was estimated and propagated |
Grounding without over-claiming (a Nat. Geosci. distinctive)
Nature Geoscience referees are sharp about the gap between what data show and what is inferred. Pre-empt the two signature objections explicitly:
- "The model is not anchored to observations." → State the observational validation in the main text and the full comparison in Methods. A model result with no data anchor is a classic desk-reject.
- "The uncertainty is not quantified / not propagated." → Give every headline number a stated uncertainty and describe the propagation in Methods. Separate measurement error, model spread, and structural uncertainty where they differ in kind.
Data, code, and reproducibility statements
Nature Portfolio requires explicit statements — plan them here, not at submission:
- Data availability: deposit in a community repository where one exists (e.g. PANGAEA for Earth-system data, NCEI, IRIS/SAGE for seismology, GenBank for sequences), otherwise a general repository (Figshare, Dryad, Zenodo). State accession/DOI. "Available on request" alone is not sufficient for the underlying data.
- Code availability: custom code that generates the central results must be made available (repository + DOI, or at minimum to editors/referees); state it explicitly.
- Reporting Summary: the Nature Portfolio Reporting Summary accompanies submission (see
ngeo-submission); its content must be consistent with Methods.
Show full SKILL.md (232 more words)Show less
Sentence patterns that buy referee trust
- Validation clause (main text): "Simulated surface fluxes reproduce the observed seasonal cycle to within X% (Methods, Fig. Sn)."
- Split uncertainty: "We estimate a rate of value ± (measurement) ± (model spread), the latter dominated by [source]."
- Age-model flag (paleo): "Ages are on the [framework] timescale; the reconstruction is robust to alternative age models (Methods)."
- Ensemble one-liner: "Results are consistent across all N ensemble members (Methods)."
Checklist
- Main text keeps only what a broad reader needs to trust and interpret the advance
- Online Methods is divided by topical subheadings and is fully reproducible
- Every quantitative claim is grounded in data or a data-validated model
- Model results are explicitly anchored to observations
- The headline number carries a stated, propagated uncertainty
- Data availability names a repository + accession/DOI (community repo preferred)
- Code availability is stated for custom analysis code
- Methods are consistent with the Reporting Summary
Anti-patterns
- Treating online Methods as a dumping ground rather than a reproducible protocol
- A model-only claim with no observational validation
- Headline numbers with no uncertainty, or measurement and model spread merged silently
- "Data available on request" as the only data statement
- Undefined proxy calibrations or unstated age models in paleoclimate work
- Methods that contradict the Reporting Summary or the availability statements
Output format
【Main-text trust minimum】approach / decisive constraint / headline uncertainty
【Online Methods subheadings】list
【Model anchored to observations】yes / fix
【Headline uncertainty propagated】yes / fix
【Data availability】repository + DOI? yes / fix
【Code availability】stated? yes / fix
【Next】ngeo-figures (lead figure) or ngeo-supplementary (SI partition)Methods length allowances, repository lists, and reporting-summary requirements evolve — verify current Nature Geoscience / Nature Portfolio policy on the official author pages (Checked: 2026-07-16).
© 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 Nature-Geoscience-Skills/skills/ngeo-methods of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Ngeo Methods 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 |
|---|---|---|---|---|---|---|
| Ngeo Methods this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Weather Data Reproducibilitysickn33/agentic-awesome-skills | 47k | 1 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Lammps Evidence MdCai-aa/CAE-Agent-Hub | 1k | — | ~476 | Automated safety check: Pass | MIT | |
| Mechanical Engineering Researchhashgraph-online/awesome-codex-plugins | 1.3k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| AstropyzLanqing/codex-claude-academic-skills | 4.7k | 13 repos | ~2.9k | Automated safety check: Pass | BSD-3-Clause |
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Categories
Questions about Ngeo Methods
What does Ngeo Methods do?
A skill your agent uses when building the online Methods section of a Nature Geoscience manuscript so every quantitative Earth-science claim is grounded in data, model diagnostics, and quantified…. Ngeo Methods is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building the online Methods section of a Nature Geoscience manuscript so every quantitative Earth-science claim is grounded in data, model diagnostics, and quantified uncertainty.
When should I use Ngeo Methods?
Ngeo Methods fits situations like: building the online Methods section of a Nature Geoscience manuscript so every quantitative Earth-science claim is grounded in data; model diagnostics; quantified uncertainty.
How do I install Ngeo Methods in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-methods -a claude-code`. Or copy the skill folder (Nature-Geoscience-Skills/skills/ngeo-methods in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ngeo-methods in your project. Claude Code loads it when a task matches its description.
How do I install Ngeo Methods in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ngeo-methods -a codex`. Or copy the skill folder (Nature-Geoscience-Skills/skills/ngeo-methods in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ngeo-methods in your project. Codex loads it when a task matches its description.
Can I use Ngeo Methods 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 ngeo-methods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ngeo-methods, .gemini/skills/ngeo-methods, .github/skills/ngeo-methods and .opencode/skills/ngeo-methods in your project.
What does Ngeo Methods need to run?
SKILL.md names no scripts, command-line tools or credentials: Ngeo Methods is instructions for the agent only.
Does Ngeo Methods 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 Ngeo Methods 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 Ngeo Methods use?
Ngeo Methods 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 Ngeo Methods use?
About 1.5k tokens (SKILL.md is roughly 6.2k 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 Ngeo Methods?
Skills that share tags, products or a category with Ngeo Methods: Weather Data Reproducibility (sickn33/agentic-awesome-skills, 47k stars), Lammps Evidence Md (Cai-aa/CAE-Agent-Hub, 1k stars), Mechanical Engineering Research (hashgraph-online/awesome-codex-plugins, 1.3k stars) and Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ngeo Methods?
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.